Automated segmentation of corticospinal tract in diffusion tensor images via multi-modality multi-atlas fusion

Xiaoying Tang, Susumu Mori, Michael I. Miller

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a method to automatically segment the corticospinal tract (CST) in diffusion tensor images (DTIs) by incorporating the anatomical features from multi-modality images generated in DTI using multiple DTI atlases. The to-be-segmented test subject, and each atlas, is comprised of images with different modalities - the mean diffusivity, the fractional anisotropy, and the images representing the three elements of the primary eigenvector. Each atlas had a paired image containing the manually delineated segmentations of the three regions of interest - the left and right CST and the background surrounding the CST. We solve the problem via maximum a posteriori estimation using generative models. Each modality image is modeled as a conditional Gaussian mixture random field, conditioned on the atlas-label pair and the local change of coordinates for each label. The expectation-maximization algorithm is used to alternatively estimate the local optimal diffeomorphisms for each label and the maximizing segmentations. The algorithm is evaluated on six subjects with a wide range of pathology. We compare the proposed method with two state-of-the-art multi-atlas based label fusion methods, against which the method displayed a high level of accuracy.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2014
Subtitle of host publicationBiomedical Applications in Molecular, Structural, and Functional Imaging
PublisherSPIE
ISBN (Print)9780819498311
DOIs
StatePublished - Jan 1 2014
EventMedical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging - San Diego, CA, United States
Duration: Feb 16 2014Feb 18 2014

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume9038
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging
CountryUnited States
CitySan Diego, CA
Period2/16/142/18/14

Keywords

  • Automated segmentation
  • Corticospinal tract
  • Diffusion tensor image
  • Likelihood fusion
  • Multi-atlas
  • Multi-modality

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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