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Medical Imaging Technologies for 
    Ocular Disease Primary 
    O l      i        i
         Care Screening
                 Jimmy Liu
              jliu@i2r.a‐star.edu.sg


   Institute for Infocomm Research (I2R)

                 March 2012
I2R  Technologies on Different Image 
Modalities for Major Ocular Disease 
M d liti f M j O l Di
Primary Care Screening
Major Causes of Blindness




      Causes of blindness as a percentage of total blindness
      C        f bli d               t     f t t l bli d
      “Global data on visual impairment in the year 2002”
      World Health Organization Bulletin
Ocular Diseases Primary Care Screening

 Automatic Cataracts grading from Lens images
                     g     g               g
 Automatic Cup‐to‐Disc Ratio (CDR) Calculation from fundus 
 images for Glaucoma screening  
 Automatic Glaucoma subtype classification from RETCAM 
 images
 Automatic Glaucoma subtype classification from OCT images
 Automatic Glaucoma subtype classification from OCT images
 Automatic Drusen detection from fundus images for AMD 
 assessment
 Automatic Cornea Analysis from OCT images
 Automatic Pathological Myopia screening from fundus images
AGLAIA
    Architecture for Automatic 
GLaucoma Diagnosis and Its Genetic 
Association Study through Medical 
        Image InformAtics
Glaucoma
 Irreversible loss of optic nerves
                       p
 Second leading cause of blindness 
 5.7 million glaucoma blind (total 38 million blind in the world)
 Glaucoma can be slowed if detected early
Validation
                            Air puff eye
                            pressure
                            measurement

N = 1,676 subjects
                                             Diagnostic
Mean Age: 57.7 years                         performance
                            Retinal fundus
Gender (M/F): 832 / 844                      analysis:
                            photography +    Receiver
Mean CDR: 0 40
            0.40            AGLAIA           Operating
(range: 0.10 to 0.95)
                                             Characteristic
                                             (ROC) curve
(Glaucoma Dx: 46 subjects
 (2.7%))
 (2 7%))                    Full
                            ophthalmic
                            exam at SERI
Results
We look forward to working with you

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JIMMY LIU - Ocular Image Processing

  • 1. Medical Imaging Technologies for  Ocular Disease Primary  O l i i Care Screening Jimmy Liu jliu@i2r.a‐star.edu.sg Institute for Infocomm Research (I2R) March 2012
  • 3. Major Causes of Blindness Causes of blindness as a percentage of total blindness C f bli d t f t t l bli d “Global data on visual impairment in the year 2002” World Health Organization Bulletin
  • 4. Ocular Diseases Primary Care Screening Automatic Cataracts grading from Lens images g g g Automatic Cup‐to‐Disc Ratio (CDR) Calculation from fundus  images for Glaucoma screening   Automatic Glaucoma subtype classification from RETCAM  images Automatic Glaucoma subtype classification from OCT images Automatic Glaucoma subtype classification from OCT images Automatic Drusen detection from fundus images for AMD  assessment Automatic Cornea Analysis from OCT images Automatic Pathological Myopia screening from fundus images
  • 5. AGLAIA Architecture for Automatic  GLaucoma Diagnosis and Its Genetic  Association Study through Medical  Image InformAtics
  • 6. Glaucoma Irreversible loss of optic nerves p Second leading cause of blindness  5.7 million glaucoma blind (total 38 million blind in the world) Glaucoma can be slowed if detected early
  • 7. Validation Air puff eye pressure measurement N = 1,676 subjects Diagnostic Mean Age: 57.7 years performance Retinal fundus Gender (M/F): 832 / 844 analysis: photography + Receiver Mean CDR: 0 40 0.40 AGLAIA Operating (range: 0.10 to 0.95) Characteristic (ROC) curve (Glaucoma Dx: 46 subjects (2.7%)) (2 7%)) Full ophthalmic exam at SERI