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International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163
Issue 03, Volume 6 (March 2019) www.ijirae.com
_________________________________________________________________________________________________
IJIRAE: Impact Factor Value – Mendeley (Elsevier Indexed); Citefactor 1.9 (2017); SJIF: Innospace, Morocco
(2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35
IJIRAE © 2014- 19, All Rights Reserved Page–267
EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN
ALTERNATIVE FILTER ON HIGH AND LOW
CONTRAST OF THE TOR CDR PHANTOM
Bambang Susanto HeriSutanto*
Department of Physics, Department of Physics,
Diponegoro University, Indonesia Diponegoro University, Indonesia
bambangsusanto.2017@fisika.fsm.undip.ac.id herisutanto@live.undip.ac.id
EkoHidayanto ChoirulAnam
Department of Physics, Department of Physics,
Diponegoro University, Indonesia Diponegoro University, Indonesia
ekohidayanto@fisika.fsm.undip.ac.id anam@fisika.fsm.undip.ac.id
Zaenal Arifin Gede Wiratma Jaya
Department of Physics, Department of Physics,
Diponegoro University, Indonesia Diponegoro University, Indonesia
zaenalarifin@fisika.fsm.undip.ac.id gede.2016@fisika.fsm.undip.ac.id
Siti Daryati Ulya Indrayani
Ministry of Health Polytechnic, Tugurejo RegionalPublic of Hospital,
Semarang, Indonesia Semarang, Indonesia
siti.daryati@poltekkes_smg.ac.id uye_3@yahoo.com
Corresponding Author: herisutanto@live.undip.ac.id
Manuscript History - Number: IJIRAE/RS/Vol.06/Issue03/MRAE10082
Received: 03, March 2019
Final Correction: 14, March 2019
Final Accepted: 24, March 2019
Published: March 2019
Citation: Susanto, HeriSutanto, EkoHidayanto, ChoirulAnam, Arifin, Z., Jaya, G. W., Daryati, S. & Indrayani, U.
(2019). Effect of Silicon Rubber (SR) Sheets as an Alternative Filter on high and low Contrast of the TDR
Phantom. IJIRAE::International Journal of Innovative Research in Advanced Engineering, Volume VI, 267-272.
doi://10.26562/IJIRAE.2019.MRAE10082
Editor: Dr.A.Arul L.S, Chief Editor, IJIRAE, AM Publications, India
Copyright: ©2019 This is an open access article distributed under the terms of the Creative Commons Attribution
License, Which Permits unrestricted use, distribution, and reproduction in any medium, provided the original author
and source are credited
Abstract__A digital radiography delivers a radiation dose to patients; therefore it poses potential risk to the
patients. One effort to reduce dose is carried out using a radiation filter, e.g. Silicone Rubber (SR) sheet. The
purpose of this research was to determine the impact of the SR sheet on the high contrast objects (HCO) and the
low contrast objects (LCO). The dose reduction was determined from attenuation x-rays before and after using the
SR sheet. Assessment of HCO and LCO was observed from CDR TOR phantom at tube voltage of 48 kVp and tube
current of 8 mAs. The physical parameter to assess image quality was the Signal to Noise Ratio (SNR) value in LCO.
The maximum x-ray attenuation using the SR sheet is 48.82%. The visibility of the HCO remains the same, namely
16 objects; however the LCO slighly decreases from 14 objects to 13 objects after using the SR sheet. The SNR
value decreases with an average value of 15.17%.Therefore, the SR sheet as a alternative filter has no effect on the
HCO and has realtively little effect on the LCO. Thus, the SR sheet potentially is used for radiation protection in
patients, especially on examinations that do not require low contrast resolution.
Keyword: High contrast object, Low contrast object, Digital radiografi, and Silicone Rubber (SR) sheet.
I. INTRODUCTION
Radiography is an imaging modality using X-rays for its image acquisition. The X-rays are high energy
electromagnetic waves that are strong enough to penetrate certain materials. In humans, the anatomical organs
have different density characteristics according to their constituent material.
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163
Issue 03, Volume 6 (March 2019) www.ijirae.com
_________________________________________________________________________________________________
IJIRAE: Impact Factor Value – Mendeley (Elsevier Indexed); Citefactor 1.9 (2017); SJIF: Innospace, Morocco
(2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35
IJIRAE © 2014- 19, All Rights Reserved Page–268
When X-rays penetrate the patient's body, some of the radiation will be absorbed and it will produce different
grey levels on the image recorder [1]. The difference in grey level will result in a diagnostic image contrast value.
A solid tissue will produce high contrast (white) while soft tissue will produce low contrast (black) [2]. In the
chest area, there are many type of tissues, for example the mediastinum which has high contrast and the lungs for
low contrast [3]. To obtain diagnostic information, the resulting image must be able to distinguish between one
organ and its surrounding, and this is referred to as a contrast resolution. The contrast of some tissues may not
appear clearly, for example soft tissue and muscle, because they have almost the same attenuation. For high
contrast organs, for example, bone and soft tissue will look very contrast [4-6]. Initially,a film was used as an
image receptor, and it is called as Film Screen Radiography (FSR). In the 1980s, Computed radiography (CR) and
Digital Radiography (DR) were introduced. Both of them quickly replaced the FSR as an image recorder because it
has many advantages over the FSR. The advantages of digital radiography are it has a wide dynamic range, faster
response; the image can be manipulated after acquisition, no need for repetition due to over- and under-exposed,
and can be stored as electronic digital data [7-9].
The transfer of technology from FSR to DR does not mean reducing doses. Repetition of image acquisition because
over-exposed or under-exposed can indeed be avoided, however it creates new potential problems. For example,
to obtain quality images, the radiographers tend to increase the exposure factors. The high exposure parameters
are sometime no longer useful, because the diagnosis can be determined using low exposure. Hence, it should be
noted that the use of digital radiographs tends to increase doses [8-11]. Anticipation of increasing doses in the use
of digital radiography needs to be done. The concept of “as low as reasonable achievable (ALARA)” must be
implemented. Optimization of the use of DR to achieve the quality image with lowest possible dose must be
sought. X-ray imaging helps clinical diagnosis more accurately, on the other hand the absorption of radiation in
the body has the potential to become cancerous. The resulting image should meet the required standards. Thus
radiation safety will be achieved [1,9,12]. One method to optimize the radiation dose is to use a radiation filter.
The radiation filter is generally made of Aluminium (Al) and Copper (Cu). Recently, silicone rubber (SR) is used in
the medical field because it is elastic and flexible [13]. This material is inside the blanket clothing and curtains for
radiation protection purposes [14]. Previously, the SR material has been proposed as an alternative radiation
filter. To date, impact of the SR on low and high contras objects has not been evaluated. In this paper, we evaluate
the effects of SRs as a filter on the high contrast object (HCO) and the low contrast object (LCO) of CDR TOR
phantom.
II. METHOD
A.X-RAY ATTENUATION
X-ray attenuation on silicone rubber (SR) sheet was tested on the mobile radiography system (Polymobil Plus
Siemens, Sweden) at Training Center (TC) of Diponegoro University. The exposure factor was set at tube voltage
of 48, 60, 70, 81, 90, and 101 kVps.Tube currents and irradiation times of 8 mAs at a distance of 100 cm. The
schematic diagram of the study is shown in Figure 1.
(a)
(b)
(b)
Figure 1. The scheme of x-ray attenuation measurement (a) without SR and (b)with SR
The initial dose was obtained from irradiation directly on the detector without the SR [15]. Next, the SR was
located above the detector and dose measurement was carried out. The value of x-ray attenuation was calculated
using the equation:
Eq.1
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163
Issue 03, Volume 6 (March 2019) www.ijirae.com
_________________________________________________________________________________________________
IJIRAE: Impact Factor Value – Mendeley (Elsevier Indexed); Citefactor 1.9 (2017); SJIF: Innospace, Morocco
(2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35
IJIRAE © 2014- 19, All Rights Reserved Page–269
With APX is X-ray attenuation percentage, I is the dose of X-ray after passing through the SR material (mGy),
andI0is the dose of X-ray radiation directly hits the detector without any SR object (mGy) [16].
B. Image acquisition
The images of CDR TOR phantom with and without SR sheet was obtained using the general radiography unit
(Shimadzu). A computed rradiography (CR) unit (Fuji, Japan) with a cassette size of 35 cm x 35 cm was used to
record the images. The exposure factor was set at a voltage of 48 kVp and a current-time of 8 mAs which is a
standard exposure factor on limb examination. The schematic diagram of the CDR imaging with and without SR
sheet can be seen in Figure 2.
(a) (b)
Figure 2. The scheme of image acquisitions (a) TOR CDR onlyand (b) with SR sheet
C. Visibility of TOR CDR phantom
The TOR CDR phantom is made of perspex in the form of discs with a diameter of 18 cm and 1 cm thick. Inside the
phantom, there are the high contrast objects (HCO) and the low contrast objects (LCO) each with a diameter of 0.5
mm and 11 mm, respectively. The number of each HCO and LCO are 17 pieces arranged in a circle on the edge of
the phantom as illustrated in Figure 3 (a) [17].
(a) (b)
Figure 3. The image of (a) TOR CDR phantom and (b) aROI in the phantom
Image quality before and after use of the SR sheet was observed from the number of visible objects. The image
quality decreases if the number of visible circles decreases.
D.Signal to noise ratio (SNR)
Signal to noise ratio (SNR) is one metric to measure radiographic image quality [18]. The SNR value for specified
regions of interest (ROI) was calculated using the following equation:
Eq.2
1ROI is the average value of pixel values of the object, 1SDROI is the standard deviation of the background [19].
The ROI for HCO and LCO measurement is shown in Figure 3b. The signal is defined as the average pixel intensity
in the LCO in the ROI of the CDR TOR phantom. Noise is defined as a random variation of pixel values in an area
outside the object.
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163
Issue 03, Volume 6 (March 2019) www.ijirae.com
_________________________________________________________________________________________________
IJIRAE: Impact Factor Value – Mendeley (Elsevier Indexed); Citefactor 1.9 (2017); SJIF: Innospace, Morocco
(2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35
IJIRAE © 2014- 19, All Rights Reserved Page–270
Standard deviation (SD) of the noise was calculated from pixels located in the background of the image, namely
the area around LCO. SNR was calculated by dividing the average signal by the standard deviation from noise [19-
21]. All results obtained were analyzed by comparing parameters before and after using the SR sheet. MATLAB
2015a (Mathwork, Inc., USA) was used for image analysis to assess SNR and visibility of LCO.
III.RESULT AND DISCUSSION
A. X-ray attenuation
The X-ray attenuationsof the SR sheets with 0.6 cm thickness at tube voltage variation are shown in Figure 4. The
percentage of X-ray attenuation in the SR sheet ranges from 29.71 - 48.82%. An increase of tube voltage causes an
increase in energy of X-ray beam so that the penetrating power increases, as a result the attenuation percentage
(XAP) decreases. Figure 4 shows that the highest percentage value is at 48 kVp and the lowest value is at 101 kVp.
Figure 4.Percentage of X-ray attenuation on SR sheet for tube voltage variation
B. SNR
Diagnostic images can be accepted if the image provides clinical informations. For this reason, it is necessary to
enhace the signals received by the image recorder. The increase of the signal to noise ratio, the better image
quality will be obtained, but the dose received by patients will also increase. The use of the SR sheet decreases the
SNR value because it absorbs the intensity of the signal received by the image receptor. The absorbtion of this
signal aims to reduce the radiation dose, but it is expected that the imageis still in quality to accurately diagnose
patient abnormalities. The graph of the SNR value in the ROI area on the TOR CDR phantom can be seen in Figure
5 a.
Figure 5. SNR value on TOR CDR phantom with and without the SR sheet
Based on Figure 5, the decreasing percentage of SNR varies from 4.63% (in the 8th object) to 28.38% (in the 10th
object). The average percentage reduction from the whole measurements is 15.17%. Based on Figure 6, the
decreasing percentage of SNR varies from 4.63% (the lowest) in the measurement of 8th ROI to 28.38% (the
highest) in the measurement of 10th ROI. The average percentage reduction from the whole measurement is
15.17%. In a previous study, it was reported that a decrease in SNR of 36% from the original image did not
significantly reduce image quality [22]. Thus, the use of SR sheet hasa little impact on quality of the original image.
International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163
Issue 03, Volume 6 (March 2019) www.ijirae.com
_________________________________________________________________________________________________
IJIRAE: Impact Factor Value – Mendeley (Elsevier Indexed); Citefactor 1.9 (2017); SJIF: Innospace, Morocco
(2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35
IJIRAE © 2014- 19, All Rights Reserved Page–271
Figure 6. Percentage of decreasing SNR in the objects
C. Visibility
The image of the HCO and LCO of the CDR TOR phantom can be seen in Figure 7. This image was evaluated by
visual observation at the number of circles can be seen before and after the use of the SR sheet. It can be seen that
without SR sheet, 14 objects was visually observed, and with SR sheet, 13 objects was visually observed. Hence,
the use of SR sheet slightly decreases the low contrast detectability. For hight contrast object (HCO), there are no
different with and without the SR sheet, 16 objects are viasually observed with and without the SR sheet.
(a) (b)
Figure 7.Visibility of the TOR CDR phantom (a) without SR sheet and (b) with SR sheet.
IV. CONCLUSIONS
The SR sheet will absorb the radiation received to the patient. Reduction of radiation intensity will reduce image
quality, in this case a decrease in SNR value. Reduction of radiation intensity by 48.82% will reduce the SNR by an
average of 14.55%. Visually, the low contras detectability slightly decreases, from 14 objects observed without the
SR sheet to become 13 objects after using the SR sheet. However, there is no effect on HCO, the number of HCO
observed still the same,i.e. 16 objects. Thus, the SR sheet can be used as a tool of radiation filter for protection of
radiological examination, especially for indications that only require a diagnosis of high-contrast organs, for
example bone examination.
ACKNOWLEDGMENT
The authors acknowledge to the Ministry of Research and Technology of Indonesia, the Material Physics
Laboratory, Department of Physics, Diponegoro University, Semarang. The authors also thank to the Training
Center, Diponegoro University, Semarang, Regional Public Hospital Tugurejo, Semarang and the Health
Polytechnic of the Ministry of Health, Semarang.
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International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163
Issue 03, Volume 6 (March 2019) www.ijirae.com
_________________________________________________________________________________________________
IJIRAE: Impact Factor Value – Mendeley (Elsevier Indexed); Citefactor 1.9 (2017); SJIF: Innospace, Morocco
(2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35
IJIRAE © 2014- 19, All Rights Reserved Page–272
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EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND LOW CONTRAST OF THE TOR CDR PHANTOM

  • 1. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 03, Volume 6 (March 2019) www.ijirae.com _________________________________________________________________________________________________ IJIRAE: Impact Factor Value – Mendeley (Elsevier Indexed); Citefactor 1.9 (2017); SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35 IJIRAE © 2014- 19, All Rights Reserved Page–267 EFFECT OF SILICON - RUBBER (SR) SHEETS AS AN ALTERNATIVE FILTER ON HIGH AND LOW CONTRAST OF THE TOR CDR PHANTOM Bambang Susanto HeriSutanto* Department of Physics, Department of Physics, Diponegoro University, Indonesia Diponegoro University, Indonesia bambangsusanto.2017@fisika.fsm.undip.ac.id herisutanto@live.undip.ac.id EkoHidayanto ChoirulAnam Department of Physics, Department of Physics, Diponegoro University, Indonesia Diponegoro University, Indonesia ekohidayanto@fisika.fsm.undip.ac.id anam@fisika.fsm.undip.ac.id Zaenal Arifin Gede Wiratma Jaya Department of Physics, Department of Physics, Diponegoro University, Indonesia Diponegoro University, Indonesia zaenalarifin@fisika.fsm.undip.ac.id gede.2016@fisika.fsm.undip.ac.id Siti Daryati Ulya Indrayani Ministry of Health Polytechnic, Tugurejo RegionalPublic of Hospital, Semarang, Indonesia Semarang, Indonesia siti.daryati@poltekkes_smg.ac.id uye_3@yahoo.com Corresponding Author: herisutanto@live.undip.ac.id Manuscript History - Number: IJIRAE/RS/Vol.06/Issue03/MRAE10082 Received: 03, March 2019 Final Correction: 14, March 2019 Final Accepted: 24, March 2019 Published: March 2019 Citation: Susanto, HeriSutanto, EkoHidayanto, ChoirulAnam, Arifin, Z., Jaya, G. W., Daryati, S. & Indrayani, U. (2019). Effect of Silicon Rubber (SR) Sheets as an Alternative Filter on high and low Contrast of the TDR Phantom. IJIRAE::International Journal of Innovative Research in Advanced Engineering, Volume VI, 267-272. doi://10.26562/IJIRAE.2019.MRAE10082 Editor: Dr.A.Arul L.S, Chief Editor, IJIRAE, AM Publications, India Copyright: ©2019 This is an open access article distributed under the terms of the Creative Commons Attribution License, Which Permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Abstract__A digital radiography delivers a radiation dose to patients; therefore it poses potential risk to the patients. One effort to reduce dose is carried out using a radiation filter, e.g. Silicone Rubber (SR) sheet. The purpose of this research was to determine the impact of the SR sheet on the high contrast objects (HCO) and the low contrast objects (LCO). The dose reduction was determined from attenuation x-rays before and after using the SR sheet. Assessment of HCO and LCO was observed from CDR TOR phantom at tube voltage of 48 kVp and tube current of 8 mAs. The physical parameter to assess image quality was the Signal to Noise Ratio (SNR) value in LCO. The maximum x-ray attenuation using the SR sheet is 48.82%. The visibility of the HCO remains the same, namely 16 objects; however the LCO slighly decreases from 14 objects to 13 objects after using the SR sheet. The SNR value decreases with an average value of 15.17%.Therefore, the SR sheet as a alternative filter has no effect on the HCO and has realtively little effect on the LCO. Thus, the SR sheet potentially is used for radiation protection in patients, especially on examinations that do not require low contrast resolution. Keyword: High contrast object, Low contrast object, Digital radiografi, and Silicone Rubber (SR) sheet. I. INTRODUCTION Radiography is an imaging modality using X-rays for its image acquisition. The X-rays are high energy electromagnetic waves that are strong enough to penetrate certain materials. In humans, the anatomical organs have different density characteristics according to their constituent material.
  • 2. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 03, Volume 6 (March 2019) www.ijirae.com _________________________________________________________________________________________________ IJIRAE: Impact Factor Value – Mendeley (Elsevier Indexed); Citefactor 1.9 (2017); SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35 IJIRAE © 2014- 19, All Rights Reserved Page–268 When X-rays penetrate the patient's body, some of the radiation will be absorbed and it will produce different grey levels on the image recorder [1]. The difference in grey level will result in a diagnostic image contrast value. A solid tissue will produce high contrast (white) while soft tissue will produce low contrast (black) [2]. In the chest area, there are many type of tissues, for example the mediastinum which has high contrast and the lungs for low contrast [3]. To obtain diagnostic information, the resulting image must be able to distinguish between one organ and its surrounding, and this is referred to as a contrast resolution. The contrast of some tissues may not appear clearly, for example soft tissue and muscle, because they have almost the same attenuation. For high contrast organs, for example, bone and soft tissue will look very contrast [4-6]. Initially,a film was used as an image receptor, and it is called as Film Screen Radiography (FSR). In the 1980s, Computed radiography (CR) and Digital Radiography (DR) were introduced. Both of them quickly replaced the FSR as an image recorder because it has many advantages over the FSR. The advantages of digital radiography are it has a wide dynamic range, faster response; the image can be manipulated after acquisition, no need for repetition due to over- and under-exposed, and can be stored as electronic digital data [7-9]. The transfer of technology from FSR to DR does not mean reducing doses. Repetition of image acquisition because over-exposed or under-exposed can indeed be avoided, however it creates new potential problems. For example, to obtain quality images, the radiographers tend to increase the exposure factors. The high exposure parameters are sometime no longer useful, because the diagnosis can be determined using low exposure. Hence, it should be noted that the use of digital radiographs tends to increase doses [8-11]. Anticipation of increasing doses in the use of digital radiography needs to be done. The concept of “as low as reasonable achievable (ALARA)” must be implemented. Optimization of the use of DR to achieve the quality image with lowest possible dose must be sought. X-ray imaging helps clinical diagnosis more accurately, on the other hand the absorption of radiation in the body has the potential to become cancerous. The resulting image should meet the required standards. Thus radiation safety will be achieved [1,9,12]. One method to optimize the radiation dose is to use a radiation filter. The radiation filter is generally made of Aluminium (Al) and Copper (Cu). Recently, silicone rubber (SR) is used in the medical field because it is elastic and flexible [13]. This material is inside the blanket clothing and curtains for radiation protection purposes [14]. Previously, the SR material has been proposed as an alternative radiation filter. To date, impact of the SR on low and high contras objects has not been evaluated. In this paper, we evaluate the effects of SRs as a filter on the high contrast object (HCO) and the low contrast object (LCO) of CDR TOR phantom. II. METHOD A.X-RAY ATTENUATION X-ray attenuation on silicone rubber (SR) sheet was tested on the mobile radiography system (Polymobil Plus Siemens, Sweden) at Training Center (TC) of Diponegoro University. The exposure factor was set at tube voltage of 48, 60, 70, 81, 90, and 101 kVps.Tube currents and irradiation times of 8 mAs at a distance of 100 cm. The schematic diagram of the study is shown in Figure 1. (a) (b) (b) Figure 1. The scheme of x-ray attenuation measurement (a) without SR and (b)with SR The initial dose was obtained from irradiation directly on the detector without the SR [15]. Next, the SR was located above the detector and dose measurement was carried out. The value of x-ray attenuation was calculated using the equation: Eq.1
  • 3. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 03, Volume 6 (March 2019) www.ijirae.com _________________________________________________________________________________________________ IJIRAE: Impact Factor Value – Mendeley (Elsevier Indexed); Citefactor 1.9 (2017); SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35 IJIRAE © 2014- 19, All Rights Reserved Page–269 With APX is X-ray attenuation percentage, I is the dose of X-ray after passing through the SR material (mGy), andI0is the dose of X-ray radiation directly hits the detector without any SR object (mGy) [16]. B. Image acquisition The images of CDR TOR phantom with and without SR sheet was obtained using the general radiography unit (Shimadzu). A computed rradiography (CR) unit (Fuji, Japan) with a cassette size of 35 cm x 35 cm was used to record the images. The exposure factor was set at a voltage of 48 kVp and a current-time of 8 mAs which is a standard exposure factor on limb examination. The schematic diagram of the CDR imaging with and without SR sheet can be seen in Figure 2. (a) (b) Figure 2. The scheme of image acquisitions (a) TOR CDR onlyand (b) with SR sheet C. Visibility of TOR CDR phantom The TOR CDR phantom is made of perspex in the form of discs with a diameter of 18 cm and 1 cm thick. Inside the phantom, there are the high contrast objects (HCO) and the low contrast objects (LCO) each with a diameter of 0.5 mm and 11 mm, respectively. The number of each HCO and LCO are 17 pieces arranged in a circle on the edge of the phantom as illustrated in Figure 3 (a) [17]. (a) (b) Figure 3. The image of (a) TOR CDR phantom and (b) aROI in the phantom Image quality before and after use of the SR sheet was observed from the number of visible objects. The image quality decreases if the number of visible circles decreases. D.Signal to noise ratio (SNR) Signal to noise ratio (SNR) is one metric to measure radiographic image quality [18]. The SNR value for specified regions of interest (ROI) was calculated using the following equation: Eq.2 1ROI is the average value of pixel values of the object, 1SDROI is the standard deviation of the background [19]. The ROI for HCO and LCO measurement is shown in Figure 3b. The signal is defined as the average pixel intensity in the LCO in the ROI of the CDR TOR phantom. Noise is defined as a random variation of pixel values in an area outside the object.
  • 4. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 03, Volume 6 (March 2019) www.ijirae.com _________________________________________________________________________________________________ IJIRAE: Impact Factor Value – Mendeley (Elsevier Indexed); Citefactor 1.9 (2017); SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35 IJIRAE © 2014- 19, All Rights Reserved Page–270 Standard deviation (SD) of the noise was calculated from pixels located in the background of the image, namely the area around LCO. SNR was calculated by dividing the average signal by the standard deviation from noise [19- 21]. All results obtained were analyzed by comparing parameters before and after using the SR sheet. MATLAB 2015a (Mathwork, Inc., USA) was used for image analysis to assess SNR and visibility of LCO. III.RESULT AND DISCUSSION A. X-ray attenuation The X-ray attenuationsof the SR sheets with 0.6 cm thickness at tube voltage variation are shown in Figure 4. The percentage of X-ray attenuation in the SR sheet ranges from 29.71 - 48.82%. An increase of tube voltage causes an increase in energy of X-ray beam so that the penetrating power increases, as a result the attenuation percentage (XAP) decreases. Figure 4 shows that the highest percentage value is at 48 kVp and the lowest value is at 101 kVp. Figure 4.Percentage of X-ray attenuation on SR sheet for tube voltage variation B. SNR Diagnostic images can be accepted if the image provides clinical informations. For this reason, it is necessary to enhace the signals received by the image recorder. The increase of the signal to noise ratio, the better image quality will be obtained, but the dose received by patients will also increase. The use of the SR sheet decreases the SNR value because it absorbs the intensity of the signal received by the image receptor. The absorbtion of this signal aims to reduce the radiation dose, but it is expected that the imageis still in quality to accurately diagnose patient abnormalities. The graph of the SNR value in the ROI area on the TOR CDR phantom can be seen in Figure 5 a. Figure 5. SNR value on TOR CDR phantom with and without the SR sheet Based on Figure 5, the decreasing percentage of SNR varies from 4.63% (in the 8th object) to 28.38% (in the 10th object). The average percentage reduction from the whole measurements is 15.17%. Based on Figure 6, the decreasing percentage of SNR varies from 4.63% (the lowest) in the measurement of 8th ROI to 28.38% (the highest) in the measurement of 10th ROI. The average percentage reduction from the whole measurement is 15.17%. In a previous study, it was reported that a decrease in SNR of 36% from the original image did not significantly reduce image quality [22]. Thus, the use of SR sheet hasa little impact on quality of the original image.
  • 5. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 03, Volume 6 (March 2019) www.ijirae.com _________________________________________________________________________________________________ IJIRAE: Impact Factor Value – Mendeley (Elsevier Indexed); Citefactor 1.9 (2017); SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35 IJIRAE © 2014- 19, All Rights Reserved Page–271 Figure 6. Percentage of decreasing SNR in the objects C. Visibility The image of the HCO and LCO of the CDR TOR phantom can be seen in Figure 7. This image was evaluated by visual observation at the number of circles can be seen before and after the use of the SR sheet. It can be seen that without SR sheet, 14 objects was visually observed, and with SR sheet, 13 objects was visually observed. Hence, the use of SR sheet slightly decreases the low contrast detectability. For hight contrast object (HCO), there are no different with and without the SR sheet, 16 objects are viasually observed with and without the SR sheet. (a) (b) Figure 7.Visibility of the TOR CDR phantom (a) without SR sheet and (b) with SR sheet. IV. CONCLUSIONS The SR sheet will absorb the radiation received to the patient. Reduction of radiation intensity will reduce image quality, in this case a decrease in SNR value. Reduction of radiation intensity by 48.82% will reduce the SNR by an average of 14.55%. Visually, the low contras detectability slightly decreases, from 14 objects observed without the SR sheet to become 13 objects after using the SR sheet. However, there is no effect on HCO, the number of HCO observed still the same,i.e. 16 objects. Thus, the SR sheet can be used as a tool of radiation filter for protection of radiological examination, especially for indications that only require a diagnosis of high-contrast organs, for example bone examination. ACKNOWLEDGMENT The authors acknowledge to the Ministry of Research and Technology of Indonesia, the Material Physics Laboratory, Department of Physics, Diponegoro University, Semarang. The authors also thank to the Training Center, Diponegoro University, Semarang, Regional Public Hospital Tugurejo, Semarang and the Health Polytechnic of the Ministry of Health, Semarang. REFERENCES 1. Hertault, A., Maurel, B., Midulla, M., Bordier, C., Desponds, L., Saeed Kilani, M., Sobocinski, M., and Haulon, S.,”Minimizing Radiation Exposure During Endovascular Procedures: Basic Knowledge, Literature Review, and Reporting Standard”, Eur J VascEndovascSurg, 50, 21-36 (2015).
  • 6. International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349-2163 Issue 03, Volume 6 (March 2019) www.ijirae.com _________________________________________________________________________________________________ IJIRAE: Impact Factor Value – Mendeley (Elsevier Indexed); Citefactor 1.9 (2017); SJIF: Innospace, Morocco (2016): 3.916 | PIF: 2.469 | Jour Info: 4.085 | ISRAJIF (2017): 4.011 | Indexcopernicus: (ICV 2016): 64.35 IJIRAE © 2014- 19, All Rights Reserved Page–272 2. Gavrielides,M.A, Li, Q., Zeng, R.,Berman, B.P., Sahiner, B., Gong, Q., Myers, K.J.,Filippo, G.D.,andPetrick, N.,”Discrimination of Pulmonary Nodule Volume Change for Low and High contrast Tasks in a Phantom CT Study with Low dose Protocols”, Acad Radiol,1-12 (2018). 3. Al-Murshedi S., Hogg P., Meijer A., Erenstein H., and England A.,”Comparative analysis of radiation dose and low contrast detail detectability usingroutine paediatric chest radiography protocols”, European Journal of Radiology (2019). 4. Gulliksrud, K., Stokke, C., and Martinsen, A.C.T.,”How to measure CT image quality: Variations in CT-numbers, uniformity and low contrast resolution for a CT quality assurance phantom”, PhysicaMedica , 30 , 521-526 (2014). 5. Giron, H., Calzado, A., Geleijns,J., Joemai, R.M.S., and Veldkamp, W.J.H.,”Low contrast detectability performance of model observers based onCT phantom images: kVp influence”, PhysicaMedica, 1-10 (2015). 6. Geso, M., Shanahan, M., Alghamdi, S.S., Davidson, R., and Alghamdi, S.,“Low Contrast Detail Phantom: Proof of Concept”, Journal of Medical Imaging and Radiation Sciences, 47, 60-65 (2016). 7. Ozcete, E., Boydak, B., Ersel, M., Kıyan, S., Uz, I., and Cevrım, U.,”Comparison of Conventional Radiography andDigital Computerized Radiography in PatientsPresenting to Emergency Department”, Turk J Emerg Med,15, 8-12 (2015). 8. Fadden S.M., Roding T., de Vries G., Benwell M., Bijwaard H., and Scheurleer J.,”Digital imaging and radiographicpractiseindiagnostic radiography:An overview of current knowledge and practice in Europe”, Radiography, 1-5 (2017). 9. Harding, L., Stanley, A.S.M., Evans, P., Taylor E.M., Charnock,P., and England, A.,”Optimum patient orientation for pelvic and hip radiography:Arandomised trial”, Radiography, 20, 22-32 (2014). 10.Andria, G., Attivissimo, F., Guglielm, I.G., Lanzolla, A.M.L., Maiorana, A., and Mangiantini, M.,”Towards patient dose optimization in digital radiography”, Measurement, 79, 331-338 (2016). 11.Uffmann, M., and Prokop. C.S.,”Digital radiography: The balance between image quality and required radiation dose”, European Journal of Radiology, 72, 202–208 (2009). 12.Racinea, D.,Viry, A., Becce, F., Schmidt, S., Ba, A., Bochud, F.O., Edyvean, S., Schegerer, S., and Verdun, F.R.,”Objective comparison of high-contrast spatial resolution and low-contrast detectability for various clinical protocols on multiple CT scanners”, Med. Phys., 44,9 (2017). 13.McCaffrey, J. P.,Hing, E.M., and Shen, H.,”Optimizing non-Pb radiation shielding materials using bilayers”, Med. Phys. 36 ,12 (2009). 14.Braun, U., Lorenz, E., Weimann, C., Sturm, H., Karimov, I., Ettl, J., Meier, R., Walter, A., Wohlgemuth., Berger, H., and Wildgruber, M.,”Mechanic and surface properties of central-venous port catheters after removal: A comparison of polyurethane and silicon rubber materials”, Journal of The Mechanical Behavior Of Biomedical Material, 64, 281-291 (2016). 15.http://www.rti.se/products/piranha/ 16.Mirzaei, M., Zarrebini, M., Shirani, A., Shanbeh, M., and Borhani, S.,”X-ray shielding behavior of garment woven with melt-spun polypropylene monofilament”, Ptec (2018). 17.http://www.leedstestobjects.com/ 18.Alzyoud, K., Hogg, P., Snaith, B., Flintham, K., and England, A.,”Impact of body part thickness on AP pelvis radiographic image quality and effective dose”, Radiography, 1-7 (2018). 19.Hosseina, J., Fariborza, F., Mehrnazb, R.,andBabak, R.,”Evaluation of diagnostic value and T2-weighted three- dimensional isotropic turbo spin-echo (3D-SPACE) image quality in comparison with T2-weighted two- dimensional turbo spin-echo (2D-TSE) sequences in lumbar spine MR imaging”, European Journal of Radiology Open, 6, 36–41 (2019). 20.Welvaert. M.,andRosseel. Y.,”On the Definition of Signal To Noise Ratio and Contrast To Noise Ratio for fMRI Data”,PLoS ONE, 8, 11 (2013). 21.Shokrollahi, P., Drake, J.M., and Goldenberg, A.A.,”Signal-to-noise ratio evaluationof magnetic resonance images in the presence of an ultrasonic motor”, BioMedEngOnLine, 16:45 (2017). 22.Tugwell. J., Everton. C., Kingma. A., Oomkens. D.M., Pereira. G.A., Pimentinha. D.B., Rouiller. C.A.I., Stensrud. S.M., Kjelle. E., Jorge. J. Hogg. P.,”Increasing source to image distance for AP pelvis imaging e Impact on radiation dose and image quality”, Radiography, 20, 351-355 (2014).