Abstract #1662

Computer-aided pancreas segmentation based on 3D GRE Dixon MRI

Chao Ma¹, Xiaoliang Gong², Panpan Yang¹, Yufei Chen², Chaolin Du², Caixia Fu³, Xu Yan⁴, and Jianping Lu¹

¹Radiology, Changhai Hospital of Shanghai, Shanghai, China, ²Country Key Laboratory of Embedded System and Service Computing (Ministry of Education), Tongji University, Shanghai, China, ³Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, China, ⁴Siemens Healthcare, Shanghai, China

Pancreas segmentation is of great significance for pancreatic cancer radiotherapy positioning, pancreatic structure and function evaluation, etc. In the study, we purposed a simple computer-aided pancreas segmentation method based on 3D GRE Dixon images by using a free open source software system.

This abstract and the presentation materials are available to members only; a login is required.

Join Here