Shangbing Gao and Haiyan Zhou and Yuebin Lin and Yue Zhang
Abstract
Since hippocampal volume measurement is often used in studying Alzheimer\u2019s disease to assess
disease progression, automatic hippocampus segmentation is an important task in clinical applications.
However, it is a challenging task due to its small size, complex shape, fuzzy boundaries, partial volume
effects, and anatomical variability. In this paper we propose a new segmentation method to segment the
hippocampus from brain MRI images automatically.This proposed method presents a new region-based
signed pressure force function, which can efficiently stop the contours at weak boundary. Experimental
results show that the model can fast and effectively segment the intensity inhomogeneous images.
