Abstract #1440

A fully automatic prostate segmentation method for both DWI and T2WI

Yi Zhu¹, Rong Wei¹, Ge Gao², Yajing Zhang³, Xiaoying Wang^1,2, Jue Zhang^1,4, and Jing Fang^1,4

¹Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, People's Republic of China, ²Department of Radiology, Peking University First Hospital, Beijing, People's Republic of China, ³Philips Healthcare, Suzhou, People's Republic of China, ⁴College of Engineering, Peking University, Beijing, People's Republic of China

Automatic prostate segmentation in MR images is a meaningful work, not only can be used in the first step of the Prostate Imaging Reporting and Data System, but also helps to predict pathologic stage of disease by determining the prostate volume. Here we show a novel new method can get the prostate contour for both T2WI and DWI fast and accurately without any manual intervention. The segmentation accuracies for 60 images are 83.7% (T2WI) and 87.1% (DWI). Even in some cases, such as prostate hyperplasia, our method shows good robustness.

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