Simulation model to analyze the scatter radiation effects on breast cancer diagnosis by CAD system

Ricardo Toshiyuki Irita; Annie France Frere; Hiroshi Fujita

doi:10.1117/12.465629

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3 May 2002 Simulation model to analyze the scatter radiation effects on breast cancer diagnosis by CAD system

Ricardo Toshiyuki Irita, Annie France Frere, Hiroshi Fujita

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Proceedings Volume 4682, Medical Imaging 2002: Physics of Medical Imaging; (2002) https://doi.org/10.1117/12.465629
Event: Medical Imaging 2002, 2002, San Diego, California, United States

Abstract

One of factors that more affect the radiographic image quality is the scatter radiation produced by interaction between the x-ray and the radiographed object. Recently the Computer Aided Diagnosis (CAD) Systems are coming to aid the detection of breast small details. Nevertheless, we not sure how much the scatter radiation decrease the efficiency of this systems. This work presents a model in order to quantify the scatter radiation and find it relation between CAD's results used for the microcalcification detection. We simulated scatter photons that reaches the film and we added it to the mammography image. The new images were processed and the alterations of the CAD's results were analyzed. The information loss to breast composed by 80 percent adipose tissue was 0,0561 per each centimeter increased in the breast's thickness. We calculated these same data considering a proportion variation of adipose tissue and considering the breast composition of 90 percent and 70 percent the loss it would be of 0.0504 and 0.07559 per increased cm, respectively. We can increase the wanted scattered radiation to any image with its own characteristics and analyze the disturbances that it can bring to the visual inspection or the automatic detection (CAD system) efficiently.

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Ricardo Toshiyuki Irita, Annie France Frere, and Hiroshi Fujita "Simulation model to analyze the scatter radiation effects on breast cancer diagnosis by CAD system", Proc. SPIE 4682, Medical Imaging 2002: Physics of Medical Imaging, (3 May 2002); https://doi.org/10.1117/12.465629

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