Abdominal Organ Area Segmentation using U-Net for Cancer Radiotherapy Support

Abstract

In recent years, development and spread of medical imaging devices such as X-ray Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) have facilitated acquisition of medical images with low invasiveness and high resolution. At present, some research is being actively conducted to segment a specific area in the image by performing image analysis using the medical image data. In this study, we proposed a method to segment the abdominal organ area using U-Net for cancer radiotherapy support. We investigated segmentation performance of two methods; the first method segments the bladder, the prostate and the rectum, individually, and the second method segments their composite region. As the results, the first method achieved the better performance, and the Dice coefficient was 0.96 on average.