Registration-based image enhancement improves multi-atlas segmentation of the thalamic nuclei and hippocampal subfields.

ABSTRACT: Magnetic resonance imaging (MRI) is an important tool for analysis of deep brain grey matter structures. However, analysis of these structures is limited due to low intensity contrast typically found in whole brain imaging protocols. Herein, we propose a big data registration-enhancement (BDRE) technique to augment the contrast of deep brain structures using an efficient large-scale non-rigid registration strategy. Direct validation is problematic given a lack of ground truth data. Rather, we validate the usefulness and impact of BDRE for multi-atlas (MA) segmentation on two sets of structures of clinical interest: the thalamic nuclei and hippocampal subfields. The experimental design compares algorithms using T1-weighted 3 T MRI for both structures (and additional 7 T MRI for the thalamic

SUBMITTER: Bao S 

PROVIDER: S-EPMC6747695 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature