Automatic segmentation of the striatum and globus pallidus using MIST: Multimodal Image Segmentation Tool.

ABSTRACT: Accurate segmentation of the subcortical structures is frequently required in neuroimaging studies. Most existing methods use only a T1-weighted MRI volume to segment all supported structures and usually rely on a database of training data. We propose a new method that can use multiple image modalities simultaneously and a single reference segmentation for initialisation, without the need for a manually labelled training set. The method models intensity profiles in multiple images around the boundaries of the structure after nonlinear registration. It is trained using a set of unlabelled training data, which may be the same images that are to be segmented, and it can automatically infer the location of the physical boundary using user-specified priors. We show that the method produces high

SUBMITTER: Visser E 

PROVIDER: S-EPMC4692519 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature