Multi-Template Mesiotemporal Lobe Segmentation: Effects of Surface and Volume Feature Modeling.

ABSTRACT: Numerous neurological disorders are associated with atrophy of mesiotemporal lobe structures, including the hippocampus (HP), amygdala (AM), and entorhinal cortex (EC). Accurate segmentation of these structures is, therefore, necessary for understanding the disease process and patient management. Recent multiple-template segmentation algorithms have shown excellent performance in HP segmentation. Purely surface-based methods precisely describe structural boundary but their performance likely depends on a large template library, as segmentation suffers when the boundaries of template and individual MRI are not well aligned while volume-based methods are less dependent. So far only few algorithms attempted segmentation of entire mesiotemporal structures including the parahippocampus. We comp

SUBMITTER: Kim H 

PROVIDER: S-EPMC6052096 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature