International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 118 | Views: 181

Research Paper | Engineering | Indonesia | Volume 9 Issue 2, February 2020


Imaging Using Digital Radiography on Fat Network Phantom for Obesity Condition Correction

Levana Forra Wakidi


Abstract: X-rays have been widely used in medicine such as diagnosis. The interaction of X-rays with tissues is the basis of diagnostic imaging techniques. Image contrast depends on the nature of the attenuation of the mass and thickness of the tissue in the body. This is a problem in obese patients. This study aims to determine the correction factors for obesity conditions and obtain contrast improvements in imaging using digital radiography. The measurement object uses a standard phantom that is used as a reference, then added artificial fat tissue phantom with a thickness of 2.5 and 8 cm, with a density value of 0.9 g / ml equal to fat tissue in the body. X-ray irradiation is carried out using digital radiography aircraft with variations of 90 - 117 KV and 125 & 200 mAs and at a distance of 150 cm. The parameters kV, mAs and distance produce radiation intensity values. The researcher uses the Contrast-limited adaptive histogram equalization (CLAHE) method with a correction factor α in the exopnential equation. From this research, the result of correction factor of fat tissue phantom to standard phantom at 125 mAs is 1, 402 for thickness of 2 cm, 1, 832 for thickness of 5 cm and 2, 079 for thickness of 8 cm, at 200 mAs for 2, 243 for thickness of 2 cm, 2, 932 for thickness of 5 cm and 3, 328 at a thickness of 8 cm. After the Clahe method the error value at 125 mAs with α = 0.4 at 2 cm thickness is 0.94, α = 0.6 at 5 cm thickness at 0.86 and α = 0.6 at 8 cm thickness at 1.3 while at 200 mAs with α = 0.8 at 2 cm thickness of 0.48, at a thickness of 5 cm at 2.35 and at a thickness of 8 cm at 2.5


Keywords: X-rays, CLAHE, Fat tissue, image contrast, radiation dosimetry


Edition: Volume 9 Issue 2, February 2020,


Pages: 1490 - 1493


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