SlideShare uma empresa Scribd logo

20080125 Friday Food

•Transferir como PPT, PDF•
•
imec.archive
imec.archive

Quantitative analysis of ultrasound imagesof the preterm brain Ewout Vansteenkiste - IBBT-Medisip-UGent

1 de 25
Quantitative analysis of ultrasound images of the preterm brain Ewout Vansteenkiste IBBT-Medisip/IPI-UGENT Friday Food 25/01/2008
Outline [Source: William Lawson, A new Orchard and Garden , 1648, Londen ] quantitative image analysis medical ultrasound speckle-reduction in ultrasound 2D echo/3D MRI registration white matter classification 1/24 texture-classification psycho-physics segmentation registration white matter segmentation ventricle segmentation segmentation carotid
Quantitative image analysis 2/24 tumor = “white dot” in the image size = “small”, “average” Qualitative analysis : in words 2.25 cm² Both experts measure the tumor Using the same segmentation algorithm Quantitative analysis: through measuring
Medical ultrasound 3/24 SPECKLE probe electric current Pi ëzo-electric cristal pulsing Tissue structures/transitions skin
White matter damage = Periventricular Leukomalacia (PVL) grey matter: what we think with white matter: highways of the brain ventricles: cavities regulating brain fluid 4/24 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],mild severe
White matter damage diagnosis ,[object Object],[object Object],[object Object],[object Object],[object Object],pros: - non-invasive/safe - portable - real-time imaging - relatively cheap contras: - poor image quality - diagnosis = subjective 5/24 “ flaring” normal severe mild flaring
Problem = subjectivity ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],6/24
Tissue texture classification (1) - Texture : no unique definition. Description: regular, irregular, stochastic pattern present in most natural scenes: - Texture parameters : mathematical measures expressing texture characteristics 7/24 ,[object Object],- Important for ultrasound: tissue structure is manifested as speckle texture
Example texture parameters: co-occurrence matrices wood cloth 8/24 Contrast = 100 Entropy = 0.78 Contrast = 60 Entropy = 0.34 pathological benign Contrast = 70 Entropy = 0.44 Contrast = 130 Entropy = 0.64 255 0 255 0 2D co-occurrence matrix
Tissue texture classification (2) 9/24 length width length width length width ? ?
Tissue texture classification (3) Quantitative analysis = precision 92.5% = sensitivity 88 % Qualitative analysis = precision 75% = sensitivity 70% 10/24 patholigical non-pathological 140 pati e nts ,[object Object],[object Object],[object Object],[object Object],Compensation algorithm ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Bayes classifier KNN classifier classifier combination - pathological - non-pathological Normalization LDA classifier
Outline [Source: William Lawson, A new Orchard and Garden , 1648, Londen ] Quantitative image analysis medical ultrasound Texture classification white matter classification 11/24
Flare segmentation and area estimation 12/24 sensitivity 98% Validation? Initial texture- Basd segmen- Tation map -Morfological closing -Gradient -Opening by Reconstruction expert existing new Expert delineation: subjective? 2D US 3D MRI registration
Multimodal image registration ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Magnetic Resonance Scanner ,[object Object],[object Object],[object Object],13/24 + 2D high-resolution - low image quality
Multimodal 2D ultrasound to 3D MRI registration initialization Mutuel Information Metric Regular Step Gradient Descent Rigid Transformation Trilinear Interpolation result 14/24
Validation registration = “CAVE” + segmentation 15/24 Registration algorithm flaring segmentation MRI-flaring expert
Segmentation extended: ventricles + carotid enlarged ventricles indicative for PVL 3D reconstruction 2D seg- mentation 16/24 Bifurcation of the carotid: atherosclerosis 3D reconstruction [Source = Glor, 2004] 2D seg- mentation
Outline [Source: William Lawson, A new Orchard and Garden , 1648, Londen ] quantitative image analysis medical ultrasound Texture-classification segmentation registration 2D echo/3D MRI registration white matter classificaton 17/24 white matter segmentation ventricle segmentation segmentation carothid
Psychovisual experiments SUBJECTS dummy? physicians? Experts? METHODOLOGY 18/24 STIMULI
Image degradations ,[object Object],[object Object],19/24 blur noise artefacts
Test room implementation examples (1) © Cedric Marchessoux - BARCO 20/24
Set-up experiment: filtering of ultrasound images ,[object Object],[object Object],[object Object],[bron: Pizurica, 2002] 21/24 original filtered
methodology + results ,[object Object],[object Object],[object Object],22/24 speckle reduction rejected ! Les suited for diagnosis degree of filtering 0 1 2 3 4
Conclusion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],23/24 Improved, early quantitative detection of PVL sensitivity: 70% 98% + ultrasound more sensitive than MRI
and remember… The more questions you now ask, the less time we have to eat… 24/24

Recomendados

Skin lesion detection from dermoscopic images using Convolutional Neural Netw...
Skin lesion detection from dermoscopic images using Convolutional Neural Netw...Skin lesion detection from dermoscopic images using Convolutional Neural Netw...
Skin lesion detection from dermoscopic images using Convolutional Neural Netw...Adrià Romero López
 
Breast legion
Breast legionBreast legion
Breast legionhashhash2000
 
Filter technique of medical image on multiple morphological gradient method
Filter technique of medical image on multiple morphological gradient methodFilter technique of medical image on multiple morphological gradient method
Filter technique of medical image on multiple morphological gradient methodTELKOMNIKA JOURNAL
 
Automatic Diagnosis of Abnormal Tumor Region from Brain Computed Tomography I...
Automatic Diagnosis of Abnormal Tumor Region from Brain Computed Tomography I...Automatic Diagnosis of Abnormal Tumor Region from Brain Computed Tomography I...
Automatic Diagnosis of Abnormal Tumor Region from Brain Computed Tomography I...ijcseit
 
IRJET- Detection and Classification of Skin Diseases using Different Colo...
IRJET- Detection and Classification of Skin Diseases using Different Colo...IRJET- Detection and Classification of Skin Diseases using Different Colo...
IRJET- Detection and Classification of Skin Diseases using Different Colo...IRJET Journal
 
A Wavelet Based Automatic Segmentation of Brain Tumor in CT Images Using Opti...
A Wavelet Based Automatic Segmentation of Brain Tumor in CT Images Using Opti...A Wavelet Based Automatic Segmentation of Brain Tumor in CT Images Using Opti...
A Wavelet Based Automatic Segmentation of Brain Tumor in CT Images Using Opti...CSCJournals
 
Statistical Feature-based Neural Network Approach for the Detection of Lung C...
Statistical Feature-based Neural Network Approach for the Detection of Lung C...Statistical Feature-based Neural Network Approach for the Detection of Lung C...
Statistical Feature-based Neural Network Approach for the Detection of Lung C...CSCJournals
 
DETECTION OF LESION USING SVM
DETECTION OF LESION USING SVMDETECTION OF LESION USING SVM
DETECTION OF LESION USING SVMadeij1
 

Recomendados

Skin lesion detection from dermoscopic images using Convolutional Neural Netw...
Skin lesion detection from dermoscopic images using Convolutional Neural Netw...Skin lesion detection from dermoscopic images using Convolutional Neural Netw...
Skin lesion detection from dermoscopic images using Convolutional Neural Netw...Adrià Romero López
 
Breast legion
Breast legionBreast legion
Breast legionhashhash2000
 
Filter technique of medical image on multiple morphological gradient method
Filter technique of medical image on multiple morphological gradient methodFilter technique of medical image on multiple morphological gradient method
Filter technique of medical image on multiple morphological gradient methodTELKOMNIKA JOURNAL
 
Automatic Diagnosis of Abnormal Tumor Region from Brain Computed Tomography I...
Automatic Diagnosis of Abnormal Tumor Region from Brain Computed Tomography I...Automatic Diagnosis of Abnormal Tumor Region from Brain Computed Tomography I...
Automatic Diagnosis of Abnormal Tumor Region from Brain Computed Tomography I...ijcseit
 
IRJET- Detection and Classification of Skin Diseases using Different Colo...
IRJET- Detection and Classification of Skin Diseases using Different Colo...IRJET- Detection and Classification of Skin Diseases using Different Colo...
IRJET- Detection and Classification of Skin Diseases using Different Colo...IRJET Journal
 
A Wavelet Based Automatic Segmentation of Brain Tumor in CT Images Using Opti...
A Wavelet Based Automatic Segmentation of Brain Tumor in CT Images Using Opti...A Wavelet Based Automatic Segmentation of Brain Tumor in CT Images Using Opti...
A Wavelet Based Automatic Segmentation of Brain Tumor in CT Images Using Opti...CSCJournals
 
Statistical Feature-based Neural Network Approach for the Detection of Lung C...
Statistical Feature-based Neural Network Approach for the Detection of Lung C...Statistical Feature-based Neural Network Approach for the Detection of Lung C...
Statistical Feature-based Neural Network Approach for the Detection of Lung C...CSCJournals
 
DETECTION OF LESION USING SVM
DETECTION OF LESION USING SVMDETECTION OF LESION USING SVM
DETECTION OF LESION USING SVMadeij1
 
Brain Tumor Detection using MRI Images
Brain Tumor Detection using MRI ImagesBrain Tumor Detection using MRI Images
Brain Tumor Detection using MRI ImagesYogeshIJTSRD
 
SVM Classifiers at it Bests in Brain Tumor Detection using MR Images
SVM Classifiers at it Bests in Brain Tumor Detection using MR ImagesSVM Classifiers at it Bests in Brain Tumor Detection using MR Images
SVM Classifiers at it Bests in Brain Tumor Detection using MR Imagesijtsrd
 
IRJET- Lung Diseases using Deep Learning: A Review Paper
IRJET- Lung Diseases using Deep Learning: A Review PaperIRJET- Lung Diseases using Deep Learning: A Review Paper
IRJET- Lung Diseases using Deep Learning: A Review PaperIRJET Journal
 
Segmentation and Classification of Skin Lesions Based on Texture Features
Segmentation and Classification of Skin Lesions Based on Texture FeaturesSegmentation and Classification of Skin Lesions Based on Texture Features
Segmentation and Classification of Skin Lesions Based on Texture FeaturesIJERA Editor
 
IRJET- Detection & Classification of Melanoma Skin Cancer
IRJET- Detection & Classification of Melanoma Skin CancerIRJET- Detection & Classification of Melanoma Skin Cancer
IRJET- Detection & Classification of Melanoma Skin CancerIRJET Journal
 
Extracting Features from the fundus image using Canny edge detection method f...
Extracting Features from the fundus image using Canny edge detection method f...Extracting Features from the fundus image using Canny edge detection method f...
Extracting Features from the fundus image using Canny edge detection method f...vivatechijri
 
Automatic grading of diabetic retinopathy through machine learning
Automatic grading of diabetic retinopathy through machine learning Automatic grading of diabetic retinopathy through machine learning
Automatic grading of diabetic retinopathy through machine learning SupriyaKamatgi
 
Automatic Skin Lesion Segmentation and Melanoma Detection: Transfer Learning ...
Automatic Skin Lesion Segmentation and Melanoma Detection: Transfer Learning ...Automatic Skin Lesion Segmentation and Melanoma Detection: Transfer Learning ...
Automatic Skin Lesion Segmentation and Melanoma Detection: Transfer Learning ...Zabir Al Nazi Nabil
 
Lung Cancer Detection using Machine Learning
Lung Cancer Detection using Machine LearningLung Cancer Detection using Machine Learning
Lung Cancer Detection using Machine Learningijtsrd
 
MALIGNANT AND BENIGN BRAIN TUMOR SEGMENTATION AND CLASSIFICATION USING SVM WI...
MALIGNANT AND BENIGN BRAIN TUMOR SEGMENTATION AND CLASSIFICATION USING SVM WI...MALIGNANT AND BENIGN BRAIN TUMOR SEGMENTATION AND CLASSIFICATION USING SVM WI...
MALIGNANT AND BENIGN BRAIN TUMOR SEGMENTATION AND CLASSIFICATION USING SVM WI...sipij
 
IRJET- Color and Texture based Feature Extraction for Classifying Skin Ca...
IRJET- Color and Texture based Feature Extraction for Classifying Skin Ca...IRJET- Color and Texture based Feature Extraction for Classifying Skin Ca...
IRJET- Color and Texture based Feature Extraction for Classifying Skin Ca...IRJET Journal
 
Diagnosis of Burn Images using Template Matching, k-Nearest Neighbor and Arti...
Diagnosis of Burn Images using Template Matching, k-Nearest Neighbor and Arti...Diagnosis of Burn Images using Template Matching, k-Nearest Neighbor and Arti...
Diagnosis of Burn Images using Template Matching, k-Nearest Neighbor and Arti...CSCJournals
 
Tumor Detection from Brain MRI Image using Neural Network Approach: A Review
Tumor Detection from Brain MRI Image using Neural Network Approach: A ReviewTumor Detection from Brain MRI Image using Neural Network Approach: A Review
Tumor Detection from Brain MRI Image using Neural Network Approach: A ReviewIRJET Journal
 
Skin Cancer Detection and Classification
Skin Cancer Detection and ClassificationSkin Cancer Detection and Classification
Skin Cancer Detection and ClassificationDr. Amarjeet Singh
 
Prototype System to Detect Skin Cancer Through Images
Prototype System to Detect Skin Cancer Through ImagesPrototype System to Detect Skin Cancer Through Images
Prototype System to Detect Skin Cancer Through ImagesHealthcare and Medical Sciences
 
New Approach of MA Detection & Grading Using Different Classifiers
New Approach of MA Detection & Grading Using Different ClassifiersNew Approach of MA Detection & Grading Using Different Classifiers
New Approach of MA Detection & Grading Using Different ClassifiersIJSTA
 
Blood vessel segmentation in fundus images
Blood vessel segmentation in fundus imagesBlood vessel segmentation in fundus images
Blood vessel segmentation in fundus imagesIRJET Journal
 
Image Segmentation and Identification of Brain Tumor using FFT Techniques of ...
Image Segmentation and Identification of Brain Tumor using FFT Techniques of ...Image Segmentation and Identification of Brain Tumor using FFT Techniques of ...
Image Segmentation and Identification of Brain Tumor using FFT Techniques of ...IDES Editor
 
Artificial neural network based cancer cell classification
Artificial neural network based cancer cell classificationArtificial neural network based cancer cell classification
Artificial neural network based cancer cell classificationAlexander Decker
 
IRJET - An Efficient Approach for Multi-Modal Brain Tumor Classification usin...
IRJET - An Efficient Approach for Multi-Modal Brain Tumor Classification usin...IRJET - An Efficient Approach for Multi-Modal Brain Tumor Classification usin...
IRJET - An Efficient Approach for Multi-Modal Brain Tumor Classification usin...IRJET Journal
 
Wba1 Ibbt General Presentation
Wba1 Ibbt General PresentationWba1 Ibbt General Presentation
Wba1 Ibbt General Presentationimec.archive
 
Presentatie mfconnect Museum Boerhaave en Twitter
Presentatie mfconnect Museum Boerhaave en TwitterPresentatie mfconnect Museum Boerhaave en Twitter
Presentatie mfconnect Museum Boerhaave en TwitterVera Bartels
 

Mais conteúdo relacionado

Mais procurados

Brain Tumor Detection using MRI Images
Brain Tumor Detection using MRI ImagesBrain Tumor Detection using MRI Images
Brain Tumor Detection using MRI ImagesYogeshIJTSRD
 
SVM Classifiers at it Bests in Brain Tumor Detection using MR Images
SVM Classifiers at it Bests in Brain Tumor Detection using MR ImagesSVM Classifiers at it Bests in Brain Tumor Detection using MR Images
SVM Classifiers at it Bests in Brain Tumor Detection using MR Imagesijtsrd
 
IRJET- Lung Diseases using Deep Learning: A Review Paper
IRJET- Lung Diseases using Deep Learning: A Review PaperIRJET- Lung Diseases using Deep Learning: A Review Paper
IRJET- Lung Diseases using Deep Learning: A Review PaperIRJET Journal
 
Segmentation and Classification of Skin Lesions Based on Texture Features
Segmentation and Classification of Skin Lesions Based on Texture FeaturesSegmentation and Classification of Skin Lesions Based on Texture Features
Segmentation and Classification of Skin Lesions Based on Texture FeaturesIJERA Editor
 
IRJET- Detection & Classification of Melanoma Skin Cancer
IRJET- Detection & Classification of Melanoma Skin CancerIRJET- Detection & Classification of Melanoma Skin Cancer
IRJET- Detection & Classification of Melanoma Skin CancerIRJET Journal
 
Extracting Features from the fundus image using Canny edge detection method f...
Extracting Features from the fundus image using Canny edge detection method f...Extracting Features from the fundus image using Canny edge detection method f...
Extracting Features from the fundus image using Canny edge detection method f...vivatechijri
 
Automatic grading of diabetic retinopathy through machine learning
Automatic grading of diabetic retinopathy through machine learning Automatic grading of diabetic retinopathy through machine learning
Automatic grading of diabetic retinopathy through machine learning SupriyaKamatgi
 
Automatic Skin Lesion Segmentation and Melanoma Detection: Transfer Learning ...
Automatic Skin Lesion Segmentation and Melanoma Detection: Transfer Learning ...Automatic Skin Lesion Segmentation and Melanoma Detection: Transfer Learning ...
Automatic Skin Lesion Segmentation and Melanoma Detection: Transfer Learning ...Zabir Al Nazi Nabil
 
Lung Cancer Detection using Machine Learning
Lung Cancer Detection using Machine LearningLung Cancer Detection using Machine Learning
Lung Cancer Detection using Machine Learningijtsrd
 
MALIGNANT AND BENIGN BRAIN TUMOR SEGMENTATION AND CLASSIFICATION USING SVM WI...
MALIGNANT AND BENIGN BRAIN TUMOR SEGMENTATION AND CLASSIFICATION USING SVM WI...MALIGNANT AND BENIGN BRAIN TUMOR SEGMENTATION AND CLASSIFICATION USING SVM WI...
MALIGNANT AND BENIGN BRAIN TUMOR SEGMENTATION AND CLASSIFICATION USING SVM WI...sipij
 
IRJET- Color and Texture based Feature Extraction for Classifying Skin Ca...
IRJET- Color and Texture based Feature Extraction for Classifying Skin Ca...IRJET- Color and Texture based Feature Extraction for Classifying Skin Ca...
IRJET- Color and Texture based Feature Extraction for Classifying Skin Ca...IRJET Journal
 
Diagnosis of Burn Images using Template Matching, k-Nearest Neighbor and Arti...
Diagnosis of Burn Images using Template Matching, k-Nearest Neighbor and Arti...Diagnosis of Burn Images using Template Matching, k-Nearest Neighbor and Arti...
Diagnosis of Burn Images using Template Matching, k-Nearest Neighbor and Arti...CSCJournals
 
Tumor Detection from Brain MRI Image using Neural Network Approach: A Review
Tumor Detection from Brain MRI Image using Neural Network Approach: A ReviewTumor Detection from Brain MRI Image using Neural Network Approach: A Review
Tumor Detection from Brain MRI Image using Neural Network Approach: A ReviewIRJET Journal
 
Skin Cancer Detection and Classification
Skin Cancer Detection and ClassificationSkin Cancer Detection and Classification
Skin Cancer Detection and ClassificationDr. Amarjeet Singh
 
New Approach of MA Detection & Grading Using Different Classifiers
New Approach of MA Detection & Grading Using Different ClassifiersNew Approach of MA Detection & Grading Using Different Classifiers
New Approach of MA Detection & Grading Using Different ClassifiersIJSTA
 
Blood vessel segmentation in fundus images
Blood vessel segmentation in fundus imagesBlood vessel segmentation in fundus images
Blood vessel segmentation in fundus imagesIRJET Journal
 
Image Segmentation and Identification of Brain Tumor using FFT Techniques of ...
Image Segmentation and Identification of Brain Tumor using FFT Techniques of ...Image Segmentation and Identification of Brain Tumor using FFT Techniques of ...
Image Segmentation and Identification of Brain Tumor using FFT Techniques of ...IDES Editor
 
Artificial neural network based cancer cell classification
Artificial neural network based cancer cell classificationArtificial neural network based cancer cell classification
Artificial neural network based cancer cell classificationAlexander Decker
 
IRJET - An Efficient Approach for Multi-Modal Brain Tumor Classification usin...
IRJET - An Efficient Approach for Multi-Modal Brain Tumor Classification usin...IRJET - An Efficient Approach for Multi-Modal Brain Tumor Classification usin...
IRJET - An Efficient Approach for Multi-Modal Brain Tumor Classification usin...IRJET Journal
 

Mais procurados (20)

Brain Tumor Detection using MRI Images
Brain Tumor Detection using MRI ImagesBrain Tumor Detection using MRI Images
Brain Tumor Detection using MRI Images
 
SVM Classifiers at it Bests in Brain Tumor Detection using MR Images
SVM Classifiers at it Bests in Brain Tumor Detection using MR ImagesSVM Classifiers at it Bests in Brain Tumor Detection using MR Images
SVM Classifiers at it Bests in Brain Tumor Detection using MR Images
 
IRJET- Lung Diseases using Deep Learning: A Review Paper
IRJET- Lung Diseases using Deep Learning: A Review PaperIRJET- Lung Diseases using Deep Learning: A Review Paper
IRJET- Lung Diseases using Deep Learning: A Review Paper
 
Segmentation and Classification of Skin Lesions Based on Texture Features
Segmentation and Classification of Skin Lesions Based on Texture FeaturesSegmentation and Classification of Skin Lesions Based on Texture Features
Segmentation and Classification of Skin Lesions Based on Texture Features
 
IRJET- Detection & Classification of Melanoma Skin Cancer
IRJET- Detection & Classification of Melanoma Skin CancerIRJET- Detection & Classification of Melanoma Skin Cancer
IRJET- Detection & Classification of Melanoma Skin Cancer
 
Extracting Features from the fundus image using Canny edge detection method f...
Extracting Features from the fundus image using Canny edge detection method f...Extracting Features from the fundus image using Canny edge detection method f...
Extracting Features from the fundus image using Canny edge detection method f...
 
Automatic grading of diabetic retinopathy through machine learning
Automatic grading of diabetic retinopathy through machine learning Automatic grading of diabetic retinopathy through machine learning
Automatic grading of diabetic retinopathy through machine learning
 
Automatic Skin Lesion Segmentation and Melanoma Detection: Transfer Learning ...
Automatic Skin Lesion Segmentation and Melanoma Detection: Transfer Learning ...Automatic Skin Lesion Segmentation and Melanoma Detection: Transfer Learning ...
Automatic Skin Lesion Segmentation and Melanoma Detection: Transfer Learning ...
 
Lung Cancer Detection using Machine Learning
Lung Cancer Detection using Machine LearningLung Cancer Detection using Machine Learning
Lung Cancer Detection using Machine Learning
 
MALIGNANT AND BENIGN BRAIN TUMOR SEGMENTATION AND CLASSIFICATION USING SVM WI...
MALIGNANT AND BENIGN BRAIN TUMOR SEGMENTATION AND CLASSIFICATION USING SVM WI...MALIGNANT AND BENIGN BRAIN TUMOR SEGMENTATION AND CLASSIFICATION USING SVM WI...
MALIGNANT AND BENIGN BRAIN TUMOR SEGMENTATION AND CLASSIFICATION USING SVM WI...
 
IRJET- Color and Texture based Feature Extraction for Classifying Skin Ca...
IRJET- Color and Texture based Feature Extraction for Classifying Skin Ca...IRJET- Color and Texture based Feature Extraction for Classifying Skin Ca...
IRJET- Color and Texture based Feature Extraction for Classifying Skin Ca...
 
Diagnosis of Burn Images using Template Matching, k-Nearest Neighbor and Arti...
Diagnosis of Burn Images using Template Matching, k-Nearest Neighbor and Arti...Diagnosis of Burn Images using Template Matching, k-Nearest Neighbor and Arti...
Diagnosis of Burn Images using Template Matching, k-Nearest Neighbor and Arti...
 
Tumor Detection from Brain MRI Image using Neural Network Approach: A Review
Tumor Detection from Brain MRI Image using Neural Network Approach: A ReviewTumor Detection from Brain MRI Image using Neural Network Approach: A Review
Tumor Detection from Brain MRI Image using Neural Network Approach: A Review
 
Skin Cancer Detection and Classification
Skin Cancer Detection and ClassificationSkin Cancer Detection and Classification
Skin Cancer Detection and Classification
 
Prototype System to Detect Skin Cancer Through Images
Prototype System to Detect Skin Cancer Through ImagesPrototype System to Detect Skin Cancer Through Images
Prototype System to Detect Skin Cancer Through Images
 
New Approach of MA Detection & Grading Using Different Classifiers
New Approach of MA Detection & Grading Using Different ClassifiersNew Approach of MA Detection & Grading Using Different Classifiers
New Approach of MA Detection & Grading Using Different Classifiers
 
Blood vessel segmentation in fundus images
Blood vessel segmentation in fundus imagesBlood vessel segmentation in fundus images
Blood vessel segmentation in fundus images
 
Image Segmentation and Identification of Brain Tumor using FFT Techniques of ...
Image Segmentation and Identification of Brain Tumor using FFT Techniques of ...Image Segmentation and Identification of Brain Tumor using FFT Techniques of ...
Image Segmentation and Identification of Brain Tumor using FFT Techniques of ...
 
Artificial neural network based cancer cell classification
Artificial neural network based cancer cell classificationArtificial neural network based cancer cell classification
Artificial neural network based cancer cell classification
 
IRJET - An Efficient Approach for Multi-Modal Brain Tumor Classification usin...
IRJET - An Efficient Approach for Multi-Modal Brain Tumor Classification usin...IRJET - An Efficient Approach for Multi-Modal Brain Tumor Classification usin...
IRJET - An Efficient Approach for Multi-Modal Brain Tumor Classification usin...
 

Destaque

Wba1 Ibbt General Presentation
Wba1 Ibbt General PresentationWba1 Ibbt General Presentation
Wba1 Ibbt General Presentationimec.archive
 
Presentatie mfconnect Museum Boerhaave en Twitter
Presentatie mfconnect Museum Boerhaave en TwitterPresentatie mfconnect Museum Boerhaave en Twitter
Presentatie mfconnect Museum Boerhaave en TwitterVera Bartels
 
Tarea 4 plataformas e learning
Tarea 4 plataformas e learningTarea 4 plataformas e learning
Tarea 4 plataformas e learningMarco AP
 
Break out: Project Communication and Dissemination - Koen De Vos
Break out: Project Communication and Dissemination - Koen De VosBreak out: Project Communication and Dissemination - Koen De Vos
Break out: Project Communication and Dissemination - Koen De Vosimec.archive
 
Break out: Incubation and Venturing - Felix Van Maele
Break out: Incubation and Venturing - Felix Van MaeleBreak out: Incubation and Venturing - Felix Van Maele
Break out: Incubation and Venturing - Felix Van Maeleimec.archive
 
Keynote josephine green we bbt 2011
Keynote josephine green we bbt 2011Keynote josephine green we bbt 2011
Keynote josephine green we bbt 2011imec.archive
 
Ict Sd11 Vlaams E Governement En Ondernemingen Geert Mareels
Ict Sd11 Vlaams E Governement En Ondernemingen Geert MareelsIct Sd11 Vlaams E Governement En Ondernemingen Geert Mareels
Ict Sd11 Vlaams E Governement En Ondernemingen Geert Mareelsimec.archive
 
Vânia goncalves isbo ng wi nets - accounting interference
Vânia goncalves isbo ng wi nets - accounting interferenceVânia goncalves isbo ng wi nets - accounting interference
Vânia goncalves isbo ng wi nets - accounting interferenceimec.archive
 
Brokerage 2007 presentation ilab
Brokerage 2007 presentation ilabBrokerage 2007 presentation ilab
Brokerage 2007 presentation ilabimec.archive
 
Ecrea3e Zoran Kostov Ppt
Ecrea3e Zoran Kostov PptEcrea3e Zoran Kostov Ppt
Ecrea3e Zoran Kostov Pptimec.archive
 
Accio presentation closing event
Accio presentation closing eventAccio presentation closing event
Accio presentation closing eventimec.archive
 
Brokerage2006 ontsluiting van multimediale archieven
Brokerage2006 ontsluiting van multimediale archievenBrokerage2006 ontsluiting van multimediale archieven
Brokerage2006 ontsluiting van multimediale archievenimec.archive
 
Romas02 De Digitale Revolutie Jan Potemans
Romas02 De Digitale Revolutie Jan PotemansRomas02 De Digitale Revolutie Jan Potemans
Romas02 De Digitale Revolutie Jan Potemansimec.archive
 
Breakout Collaboration tools - Piet Verhoeve
Breakout Collaboration tools - Piet VerhoeveBreakout Collaboration tools - Piet Verhoeve
Breakout Collaboration tools - Piet Verhoeveimec.archive
 
Break out: Project Communication and Dissemination - Karen Boers
Break out: Project Communication and Dissemination - Karen BoersBreak out: Project Communication and Dissemination - Karen Boers
Break out: Project Communication and Dissemination - Karen Boersimec.archive
 
I Minds2009 Health Decision Support Prof Bart De Moor (Ibbt Esat Ku Leuven)
I Minds2009 Health Decision Support Prof Bart De Moor (Ibbt Esat Ku Leuven)I Minds2009 Health Decision Support Prof Bart De Moor (Ibbt Esat Ku Leuven)
I Minds2009 Health Decision Support Prof Bart De Moor (Ibbt Esat Ku Leuven)imec.archive
 
Ict Sd04 Een Selectie Uit De Beschikbare Cijfers Gert Verdonck
Ict Sd04 Een Selectie Uit De Beschikbare Cijfers Gert VerdonckIct Sd04 Een Selectie Uit De Beschikbare Cijfers Gert Verdonck
Ict Sd04 Een Selectie Uit De Beschikbare Cijfers Gert Verdonckimec.archive
 

Destaque (20)

Wba1 Ibbt General Presentation
Wba1 Ibbt General PresentationWba1 Ibbt General Presentation
Wba1 Ibbt General Presentation
 
Presentatie mfconnect Museum Boerhaave en Twitter
Presentatie mfconnect Museum Boerhaave en TwitterPresentatie mfconnect Museum Boerhaave en Twitter
Presentatie mfconnect Museum Boerhaave en Twitter
 
Tarea 4 plataformas e learning
Tarea 4 plataformas e learningTarea 4 plataformas e learning
Tarea 4 plataformas e learning
 
Break out: Project Communication and Dissemination - Koen De Vos
Break out: Project Communication and Dissemination - Koen De VosBreak out: Project Communication and Dissemination - Koen De Vos
Break out: Project Communication and Dissemination - Koen De Vos
 
Break out: Incubation and Venturing - Felix Van Maele
Break out: Incubation and Venturing - Felix Van MaeleBreak out: Incubation and Venturing - Felix Van Maele
Break out: Incubation and Venturing - Felix Van Maele
 
Keynote josephine green we bbt 2011
Keynote josephine green we bbt 2011Keynote josephine green we bbt 2011
Keynote josephine green we bbt 2011
 
Ict Sd11 Vlaams E Governement En Ondernemingen Geert Mareels
Ict Sd11 Vlaams E Governement En Ondernemingen Geert MareelsIct Sd11 Vlaams E Governement En Ondernemingen Geert Mareels
Ict Sd11 Vlaams E Governement En Ondernemingen Geert Mareels
 
Vânia goncalves isbo ng wi nets - accounting interference
Vânia goncalves isbo ng wi nets - accounting interferenceVânia goncalves isbo ng wi nets - accounting interference
Vânia goncalves isbo ng wi nets - accounting interference
 
Brokerage 2007 presentation ilab
Brokerage 2007 presentation ilabBrokerage 2007 presentation ilab
Brokerage 2007 presentation ilab
 
documentouta
documentoutadocumentouta
documentouta
 
Ecrea3e Zoran Kostov Ppt
Ecrea3e Zoran Kostov PptEcrea3e Zoran Kostov Ppt
Ecrea3e Zoran Kostov Ppt
 
Accio presentation closing event
Accio presentation closing eventAccio presentation closing event
Accio presentation closing event
 
Brokerage2006 ontsluiting van multimediale archieven
Brokerage2006 ontsluiting van multimediale archievenBrokerage2006 ontsluiting van multimediale archieven
Brokerage2006 ontsluiting van multimediale archieven
 
Romas02 De Digitale Revolutie Jan Potemans
Romas02 De Digitale Revolutie Jan PotemansRomas02 De Digitale Revolutie Jan Potemans
Romas02 De Digitale Revolutie Jan Potemans
 
Breakout Collaboration tools - Piet Verhoeve
Breakout Collaboration tools - Piet VerhoeveBreakout Collaboration tools - Piet Verhoeve
Breakout Collaboration tools - Piet Verhoeve
 
cavenger2000
cavenger2000cavenger2000
cavenger2000
 
Break out: Project Communication and Dissemination - Karen Boers
Break out: Project Communication and Dissemination - Karen BoersBreak out: Project Communication and Dissemination - Karen Boers
Break out: Project Communication and Dissemination - Karen Boers
 
I Minds2009 Health Decision Support Prof Bart De Moor (Ibbt Esat Ku Leuven)
I Minds2009 Health Decision Support Prof Bart De Moor (Ibbt Esat Ku Leuven)I Minds2009 Health Decision Support Prof Bart De Moor (Ibbt Esat Ku Leuven)
I Minds2009 Health Decision Support Prof Bart De Moor (Ibbt Esat Ku Leuven)
 
Ict Sd04 Een Selectie Uit De Beschikbare Cijfers Gert Verdonck
Ict Sd04 Een Selectie Uit De Beschikbare Cijfers Gert VerdonckIct Sd04 Een Selectie Uit De Beschikbare Cijfers Gert Verdonck
Ict Sd04 Een Selectie Uit De Beschikbare Cijfers Gert Verdonck
 
Family
FamilyFamily
Family
 

Semelhante a 20080125 Friday Food

Quantitative Image Analysis for Cancer Diagnosis and Radiation Therapy
Quantitative Image Analysis for Cancer Diagnosis and Radiation TherapyQuantitative Image Analysis for Cancer Diagnosis and Radiation Therapy
Quantitative Image Analysis for Cancer Diagnosis and Radiation TherapyWookjin Choi
 
Normal & abnormal radiology of brain part ii
Normal & abnormal radiology of brain part iiNormal & abnormal radiology of brain part ii
Normal & abnormal radiology of brain part iiMohammed Fathy
 
Interpretable Spiculation Quantification for Lung Cancer Screening
Interpretable Spiculation Quantification for Lung Cancer ScreeningInterpretable Spiculation Quantification for Lung Cancer Screening
Interpretable Spiculation Quantification for Lung Cancer ScreeningWookjin Choi
 
L01Intro.ppt
L01Intro.pptL01Intro.ppt
L01Intro.pptOyaLTagit
 
MediaEval 2017 - Medical Multimedia Task: Multimedia for Medicine: The Medico...
MediaEval 2017 - Medical Multimedia Task: Multimedia for Medicine: The Medico...MediaEval 2017 - Medical Multimedia Task: Multimedia for Medicine: The Medico...
MediaEval 2017 - Medical Multimedia Task: Multimedia for Medicine: The Medico...multimediaeval
 
Segmentation problems in medical images
Segmentation problems in medical imagesSegmentation problems in medical images
Segmentation problems in medical imagesJimin Lee
 
CT SCAN - 3 Marks - QUESTION AND ANSWERS
CT SCAN - 3 Marks - QUESTION AND ANSWERSCT SCAN - 3 Marks - QUESTION AND ANSWERS
CT SCAN - 3 Marks - QUESTION AND ANSWERSGanesan Yogananthem
 
New Techniques in Radiotherapy
New Techniques in RadiotherapyNew Techniques in Radiotherapy
New Techniques in RadiotherapySantam Chakraborty
 
Beam Directed Radiotherapy - methods and principles
Beam Directed Radiotherapy - methods and principlesBeam Directed Radiotherapy - methods and principles
Beam Directed Radiotherapy - methods and principlesSantam Chakraborty
 
11.texture feature based analysis of segmenting soft tissues from brain ct im...
11.texture feature based analysis of segmenting soft tissues from brain ct im...11.texture feature based analysis of segmenting soft tissues from brain ct im...
11.texture feature based analysis of segmenting soft tissues from brain ct im...Alexander Decker
 
Cancerous lung nodule detection in computed tomography images
Cancerous lung nodule detection in computed tomography imagesCancerous lung nodule detection in computed tomography images
Cancerous lung nodule detection in computed tomography imagesTELKOMNIKA JOURNAL
 
Microcalcification Enhancement in Digital Mammogram
Microcalcification Enhancement in Digital MammogramMicrocalcification Enhancement in Digital Mammogram
Microcalcification Enhancement in Digital MammogramNashid Alam
 
A novel CAD system to automatically detect cancerous lung nodules using wav...
A novel CAD system to automatically detect cancerous lung nodules using wav... A novel CAD system to automatically detect cancerous lung nodules using wav...
A novel CAD system to automatically detect cancerous lung nodules using wav...IJECEIAES
 

Semelhante a 20080125 Friday Food (20)

Quantitative Image Analysis for Cancer Diagnosis and Radiation Therapy
Quantitative Image Analysis for Cancer Diagnosis and Radiation TherapyQuantitative Image Analysis for Cancer Diagnosis and Radiation Therapy
Quantitative Image Analysis for Cancer Diagnosis and Radiation Therapy
 
Normal & abnormal radiology of brain part ii
Normal & abnormal radiology of brain part iiNormal & abnormal radiology of brain part ii
Normal & abnormal radiology of brain part ii
 
RINKEL-ISOTDAQ2015.ppt
RINKEL-ISOTDAQ2015.pptRINKEL-ISOTDAQ2015.ppt
RINKEL-ISOTDAQ2015.ppt
 
Microwave Imaging for Breast Cancer Detection and Therapy Monitoring
Microwave Imaging for Breast Cancer Detection and Therapy MonitoringMicrowave Imaging for Breast Cancer Detection and Therapy Monitoring
Microwave Imaging for Breast Cancer Detection and Therapy Monitoring
 
CAD v2
CAD v2CAD v2
CAD v2
 
Women in STEM
Women in STEM Women in STEM
Women in STEM
 
Interpretable Spiculation Quantification for Lung Cancer Screening
Interpretable Spiculation Quantification for Lung Cancer ScreeningInterpretable Spiculation Quantification for Lung Cancer Screening
Interpretable Spiculation Quantification for Lung Cancer Screening
 
L01Intro.ppt
L01Intro.pptL01Intro.ppt
L01Intro.ppt
 
L01Intro.ppt
L01Intro.pptL01Intro.ppt
L01Intro.ppt
 
MediaEval 2017 - Medical Multimedia Task: Multimedia for Medicine: The Medico...
MediaEval 2017 - Medical Multimedia Task: Multimedia for Medicine: The Medico...MediaEval 2017 - Medical Multimedia Task: Multimedia for Medicine: The Medico...
MediaEval 2017 - Medical Multimedia Task: Multimedia for Medicine: The Medico...
 
Segmentation problems in medical images
Segmentation problems in medical imagesSegmentation problems in medical images
Segmentation problems in medical images
 
3.ppt
3.ppt3.ppt
3.ppt
 
3 dcrt
3 dcrt3 dcrt
3 dcrt
 
CT SCAN - 3 Marks - QUESTION AND ANSWERS
CT SCAN - 3 Marks - QUESTION AND ANSWERSCT SCAN - 3 Marks - QUESTION AND ANSWERS
CT SCAN - 3 Marks - QUESTION AND ANSWERS
 
New Techniques in Radiotherapy
New Techniques in RadiotherapyNew Techniques in Radiotherapy
New Techniques in Radiotherapy
 
Beam Directed Radiotherapy - methods and principles
Beam Directed Radiotherapy - methods and principlesBeam Directed Radiotherapy - methods and principles
Beam Directed Radiotherapy - methods and principles
 
11.texture feature based analysis of segmenting soft tissues from brain ct im...
11.texture feature based analysis of segmenting soft tissues from brain ct im...11.texture feature based analysis of segmenting soft tissues from brain ct im...
11.texture feature based analysis of segmenting soft tissues from brain ct im...
 
Cancerous lung nodule detection in computed tomography images
Cancerous lung nodule detection in computed tomography imagesCancerous lung nodule detection in computed tomography images
Cancerous lung nodule detection in computed tomography images
 
Microcalcification Enhancement in Digital Mammogram
Microcalcification Enhancement in Digital MammogramMicrocalcification Enhancement in Digital Mammogram
Microcalcification Enhancement in Digital Mammogram
 
A novel CAD system to automatically detect cancerous lung nodules using wav...
A novel CAD system to automatically detect cancerous lung nodules using wav... A novel CAD system to automatically detect cancerous lung nodules using wav...
A novel CAD system to automatically detect cancerous lung nodules using wav...
 

Mais de imec.archive

iMinds-iLab.o, Open Innovation in ICT
iMinds-iLab.o, Open Innovation in ICTiMinds-iLab.o, Open Innovation in ICT
iMinds-iLab.o, Open Innovation in ICTimec.archive
 
PRoF+ Patient Room of the Future
PRoF+ Patient Room of the FuturePRoF+ Patient Room of the Future
PRoF+ Patient Room of the Futureimec.archive
 
Results of the Apollon pilot in homecare and independent living
Results of the Apollon pilot in homecare and independent livingResults of the Apollon pilot in homecare and independent living
Results of the Apollon pilot in homecare and independent livingimec.archive
 
Delivery of feedback on Health, Home Security and Home Energy in Aware Homes ...
Delivery of feedback on Health, Home Security and Home Energy in Aware Homes ...Delivery of feedback on Health, Home Security and Home Energy in Aware Homes ...
Delivery of feedback on Health, Home Security and Home Energy in Aware Homes ...imec.archive
 
NMMU-Emmanuel Haven Living Lab
NMMU-Emmanuel Haven Living LabNMMU-Emmanuel Haven Living Lab
NMMU-Emmanuel Haven Living Labimec.archive
 
The Humanicité workshops
The Humanicité workshopsThe Humanicité workshops
The Humanicité workshopsimec.archive
 
A Real-World Experimentation Platform
A Real-World Experimentation PlatformA Real-World Experimentation Platform
A Real-World Experimentation Platformimec.archive
 
ENoLL @ AAL Forum 2012
ENoLL @ AAL Forum 2012ENoLL @ AAL Forum 2012
ENoLL @ AAL Forum 2012imec.archive
 
ENoLL 6th Wave Results Ceremony (Jesse Marsh)
ENoLL 6th Wave Results Ceremony (Jesse Marsh)ENoLL 6th Wave Results Ceremony (Jesse Marsh)
ENoLL 6th Wave Results Ceremony (Jesse Marsh)imec.archive
 
The Connected Smart Cities Network and Living Labs - Towards Horizon 2020 - K...
The Connected Smart Cities Network and Living Labs - Towards Horizon 2020 - K...The Connected Smart Cities Network and Living Labs - Towards Horizon 2020 - K...
The Connected Smart Cities Network and Living Labs - Towards Horizon 2020 - K...imec.archive
 
Apollon-23/05/2012-9u30- Parallell session: Living Labs added value
Apollon-23/05/2012-9u30- Parallell session: Living Labs added value Apollon-23/05/2012-9u30- Parallell session: Living Labs added value
Apollon-23/05/2012-9u30- Parallell session: Living Labs added value imec.archive
 
Apollon - 22/5/12 - 11:30 - Local SME's - Innovating Across borders
Apollon - 22/5/12 - 11:30 - Local SME's - Innovating Across bordersApollon - 22/5/12 - 11:30 - Local SME's - Innovating Across borders
Apollon - 22/5/12 - 11:30 - Local SME's - Innovating Across bordersimec.archive
 
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internet
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future InternetApollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internet
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internetimec.archive
 
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internet
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future InternetApollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internet
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internetimec.archive
 
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internet
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future InternetApollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internet
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internetimec.archive
 
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internet
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future InternetApollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internet
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internetimec.archive
 
Apollon - 22/5/12 - 11:30 - Local SME's - Innovating Across borders
Apollon - 22/5/12 - 11:30 - Local SME's - Innovating Across bordersApollon - 22/5/12 - 11:30 - Local SME's - Innovating Across borders
Apollon - 22/5/12 - 11:30 - Local SME's - Innovating Across bordersimec.archive
 
Apollon - 22/5/12 - 09:00 - User-driven Open Innovation Ecosystems
Apollon - 22/5/12 - 09:00 - User-driven Open Innovation EcosystemsApollon - 22/5/12 - 09:00 - User-driven Open Innovation Ecosystems
Apollon - 22/5/12 - 09:00 - User-driven Open Innovation Ecosystemsimec.archive
 
Apollon - 22/5/12 - 09:00 - User-driven Open Innovation Ecosystems
Apollon - 22/5/12 - 09:00 - User-driven Open Innovation EcosystemsApollon - 22/5/12 - 09:00 - User-driven Open Innovation Ecosystems
Apollon - 22/5/12 - 09:00 - User-driven Open Innovation Ecosystemsimec.archive
 
Apollon - 22/5/12 - 09:00 - User-driven Open Innovation Ecosystems
Apollon - 22/5/12 - 09:00 - User-driven Open Innovation EcosystemsApollon - 22/5/12 - 09:00 - User-driven Open Innovation Ecosystems
Apollon - 22/5/12 - 09:00 - User-driven Open Innovation Ecosystemsimec.archive
 

Mais de imec.archive (20)

iMinds-iLab.o, Open Innovation in ICT
iMinds-iLab.o, Open Innovation in ICTiMinds-iLab.o, Open Innovation in ICT
iMinds-iLab.o, Open Innovation in ICT
 
PRoF+ Patient Room of the Future
PRoF+ Patient Room of the FuturePRoF+ Patient Room of the Future
PRoF+ Patient Room of the Future
 
Results of the Apollon pilot in homecare and independent living
Results of the Apollon pilot in homecare and independent livingResults of the Apollon pilot in homecare and independent living
Results of the Apollon pilot in homecare and independent living
 
Delivery of feedback on Health, Home Security and Home Energy in Aware Homes ...
Delivery of feedback on Health, Home Security and Home Energy in Aware Homes ...Delivery of feedback on Health, Home Security and Home Energy in Aware Homes ...
Delivery of feedback on Health, Home Security and Home Energy in Aware Homes ...
 
NMMU-Emmanuel Haven Living Lab
NMMU-Emmanuel Haven Living LabNMMU-Emmanuel Haven Living Lab
NMMU-Emmanuel Haven Living Lab
 
The Humanicité workshops
The Humanicité workshopsThe Humanicité workshops
The Humanicité workshops
 
A Real-World Experimentation Platform
A Real-World Experimentation PlatformA Real-World Experimentation Platform
A Real-World Experimentation Platform
 
ENoLL @ AAL Forum 2012
ENoLL @ AAL Forum 2012ENoLL @ AAL Forum 2012
ENoLL @ AAL Forum 2012
 
ENoLL 6th Wave Results Ceremony (Jesse Marsh)
ENoLL 6th Wave Results Ceremony (Jesse Marsh)ENoLL 6th Wave Results Ceremony (Jesse Marsh)
ENoLL 6th Wave Results Ceremony (Jesse Marsh)
 
The Connected Smart Cities Network and Living Labs - Towards Horizon 2020 - K...
The Connected Smart Cities Network and Living Labs - Towards Horizon 2020 - K...The Connected Smart Cities Network and Living Labs - Towards Horizon 2020 - K...
The Connected Smart Cities Network and Living Labs - Towards Horizon 2020 - K...
 
Apollon-23/05/2012-9u30- Parallell session: Living Labs added value
Apollon-23/05/2012-9u30- Parallell session: Living Labs added value Apollon-23/05/2012-9u30- Parallell session: Living Labs added value
Apollon-23/05/2012-9u30- Parallell session: Living Labs added value
 
Apollon - 22/5/12 - 11:30 - Local SME's - Innovating Across borders
Apollon - 22/5/12 - 11:30 - Local SME's - Innovating Across bordersApollon - 22/5/12 - 11:30 - Local SME's - Innovating Across borders
Apollon - 22/5/12 - 11:30 - Local SME's - Innovating Across borders
 
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internet
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future InternetApollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internet
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internet
 
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internet
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future InternetApollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internet
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internet
 
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internet
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future InternetApollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internet
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internet
 
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internet
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future InternetApollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internet
Apollon - 22/5/12 - 16:00 - Smart Open Cities and the Future Internet
 
Apollon - 22/5/12 - 11:30 - Local SME's - Innovating Across borders
Apollon - 22/5/12 - 11:30 - Local SME's - Innovating Across bordersApollon - 22/5/12 - 11:30 - Local SME's - Innovating Across borders
Apollon - 22/5/12 - 11:30 - Local SME's - Innovating Across borders
 
Apollon - 22/5/12 - 09:00 - User-driven Open Innovation Ecosystems
Apollon - 22/5/12 - 09:00 - User-driven Open Innovation EcosystemsApollon - 22/5/12 - 09:00 - User-driven Open Innovation Ecosystems
Apollon - 22/5/12 - 09:00 - User-driven Open Innovation Ecosystems
 
Apollon - 22/5/12 - 09:00 - User-driven Open Innovation Ecosystems
Apollon - 22/5/12 - 09:00 - User-driven Open Innovation EcosystemsApollon - 22/5/12 - 09:00 - User-driven Open Innovation Ecosystems
Apollon - 22/5/12 - 09:00 - User-driven Open Innovation Ecosystems
 
Apollon - 22/5/12 - 09:00 - User-driven Open Innovation Ecosystems
Apollon - 22/5/12 - 09:00 - User-driven Open Innovation EcosystemsApollon - 22/5/12 - 09:00 - User-driven Open Innovation Ecosystems
Apollon - 22/5/12 - 09:00 - User-driven Open Innovation Ecosystems
 

20080125 Friday Food

  • 1. Quantitative analysis of ultrasound images of the preterm brain Ewout Vansteenkiste IBBT-Medisip/IPI-UGENT Friday Food 25/01/2008
  • 2. Outline [Source: William Lawson, A new Orchard and Garden , 1648, Londen ] quantitative image analysis medical ultrasound speckle-reduction in ultrasound 2D echo/3D MRI registration white matter classification 1/24 texture-classification psycho-physics segmentation registration white matter segmentation ventricle segmentation segmentation carotid
  • 3. Quantitative image analysis 2/24 tumor = “white dot” in the image size = “small”, “average” Qualitative analysis : in words 2.25 cm² Both experts measure the tumor Using the same segmentation algorithm Quantitative analysis: through measuring
  • 4. Medical ultrasound 3/24 SPECKLE probe electric current Pi ëzo-electric cristal pulsing Tissue structures/transitions skin
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. Example texture parameters: co-occurrence matrices wood cloth 8/24 Contrast = 100 Entropy = 0.78 Contrast = 60 Entropy = 0.34 pathological benign Contrast = 70 Entropy = 0.44 Contrast = 130 Entropy = 0.64 255 0 255 0 2D co-occurrence matrix
  • 10. Tissue texture classification (2) 9/24 length width length width length width ? ?
  • 11.
  • 12. Outline [Source: William Lawson, A new Orchard and Garden , 1648, Londen ] Quantitative image analysis medical ultrasound Texture classification white matter classification 11/24
  • 13. Flare segmentation and area estimation 12/24 sensitivity 98% Validation? Initial texture- Basd segmen- Tation map -Morfological closing -Gradient -Opening by Reconstruction expert existing new Expert delineation: subjective? 2D US 3D MRI registration
  • 14.
  • 15. Multimodal 2D ultrasound to 3D MRI registration initialization Mutuel Information Metric Regular Step Gradient Descent Rigid Transformation Trilinear Interpolation result 14/24
  • 16. Validation registration = “CAVE” + segmentation 15/24 Registration algorithm flaring segmentation MRI-flaring expert
  • 17. Segmentation extended: ventricles + carotid enlarged ventricles indicative for PVL 3D reconstruction 2D seg- mentation 16/24 Bifurcation of the carotid: atherosclerosis 3D reconstruction [Source = Glor, 2004] 2D seg- mentation
  • 18. Outline [Source: William Lawson, A new Orchard and Garden , 1648, Londen ] quantitative image analysis medical ultrasound Texture-classification segmentation registration 2D echo/3D MRI registration white matter classificaton 17/24 white matter segmentation ventricle segmentation segmentation carothid
  • 19. Psychovisual experiments SUBJECTS dummy? physicians? Experts? METHODOLOGY 18/24 STIMULI
  • 20.
  • 21. Test room implementation examples (1) © Cedric Marchessoux - BARCO 20/24
  • 22.
  • 23.
  • 24.
  • 25. and remember… The more questions you now ask, the less time we have to eat… 24/24