DMCA
Segmentation of Brain MRI in Young
BibTeX
@MISC{Murgasova_segmentationof,
author = {Maria Murgasova and Leigh Dyet and David Edwards and Mary Rutherford and Jo Hajnal and Daniel Rueckert},
title = {Segmentation of Brain MRI in Young},
year = {}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
This paper deals with an automatic tissue segmentation of brain MRI in young children. We examine the suitability of state-of-the-art methods developed for the adult brain when applied to the segmentation of the brain MRI in young children. We develop a method of creation of a population-specific atlas in young children using a single manual segmentation. The method is based on non-linear propagation of the segmentation into population and subsequent affine alignment into a reference space and averaging. Using this approach we significantly improve the performance of the popular EM segmentation algorithm on brain MRI in young children. The method can be used for building probabilistic atlases with any number of structures. We compare resulting algorithm with non-rigid registration based label propagation. Finally, the both methods are used to measure the volume of 7 brain structures and measure the growth between 1 and 2 years of age. Key words: PACS:
Keyphrases
brain mri young child population-specific atlas single manual segmentation automatic tissue segmentation popular em segmentation algorithm subsequent affine alignment reference space key word state-of-the-art method non-linear propagation label propagation probabilistic atlas brain structure non-rigid registration adult brain
