Accurate whole-brain segmentation for Alzheimer's Disease combining an adaptive statistical atlas and multi-atlas

Zhennan Yan, Shaoting Zhang, Xiaofeng Liu, Dimitris N. Metaxas, Albert Montillo

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

3 Scopus citations

Abstract

Accurate segmentation of whole brain MR images including the cortex, white matter and subcortical structures is challenging due to inter-subject variability and the complex geometry of brain anatomy. However a precise solution would enable accurate, objective measurement of structure volumes for disease quantification. Our contribution is three-fold. First we construct an adaptive statistical atlas that combines structure specific relaxation and spatially varying adaptivity. Second we integrate an isotropic pairwise class-specific MRF model of label connectivity. Together these permit precise control over adaptivity, allowing many structures to be segmented simultaneously with superior accuracy. Third, we develop a framework combining the improved adaptive statistical atlas with a multi-atlas method which achieves simultaneous accurate segmentation of the cortex, ventricles, and sub-cortical structures in severely diseased brains, a feat not attained in [18]. We test the proposed method on 46 brains including 28 diseased brain with Alzheimer's and 18 healthy brains. Our proposed method yields higher accuracy than state-of-the-art approaches on both healthy and diseased brains.

Original languageEnglish (US)
Title of host publicationMedical Computer Vision
Subtitle of host publicationLarge Data in Medical Imaging - Third International MICCAI Workshop, MCV 2013, Revised Selected Papers
PublisherSpringer Verlag
Pages65-73
Number of pages9
Volume8331 LNCS
ISBN (Print)9783319055299
DOIs
StatePublished - Jan 1 2014
Event3rd International MICCAI Workshop on Medical Computer Vision, MCV 2013 - Nagoya, Japan
Duration: Sep 26 2013Sep 26 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8331 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International MICCAI Workshop on Medical Computer Vision, MCV 2013
CountryJapan
CityNagoya
Period9/26/139/26/13

    Fingerprint

Keywords

  • Adaptive atlas
  • Alzheimer's
  • Brain segmentation
  • MRF
  • Multi-atlas

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Yan, Z., Zhang, S., Liu, X., Metaxas, D. N., & Montillo, A. (2014). Accurate whole-brain segmentation for Alzheimer's Disease combining an adaptive statistical atlas and multi-atlas. In Medical Computer Vision: Large Data in Medical Imaging - Third International MICCAI Workshop, MCV 2013, Revised Selected Papers (Vol. 8331 LNCS, pp. 65-73). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8331 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-05530-5_7