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 Citations (Scopus)

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

Alzheimer's Disease
Atlas
Brain
Segmentation
Adaptivity
Cortex
Complex Geometry
Anatomy
Threefolds
Quantification
Labels
Pairwise
High Accuracy
Connectivity
Integrate
Geometry

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

Accurate whole-brain segmentation for Alzheimer's Disease combining an adaptive statistical atlas and multi-atlas. / Yan, Zhennan; Zhang, Shaoting; Liu, Xiaofeng; Metaxas, Dimitris N.; Montillo, Albert.

Medical Computer Vision: Large Data in Medical Imaging - Third International MICCAI Workshop, MCV 2013, Revised Selected Papers. Vol. 8331 LNCS Springer Verlag, 2014. p. 65-73 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8331 LNCS).

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

Yan, Z, Zhang, S, Liu, X, Metaxas, DN & 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, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8331 LNCS, Springer Verlag, pp. 65-73, 3rd International MICCAI Workshop on Medical Computer Vision, MCV 2013, Nagoya, Japan, 9/26/13. https://doi.org/10.1007/978-3-319-05530-5_7
Yan Z, Zhang S, Liu X, Metaxas DN, Montillo A. 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. Springer Verlag. 2014. p. 65-73. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-05530-5_7
Yan, Zhennan ; Zhang, Shaoting ; Liu, Xiaofeng ; Metaxas, Dimitris N. ; Montillo, Albert. / Accurate whole-brain segmentation for Alzheimer's Disease combining an adaptive statistical atlas and multi-atlas. Medical Computer Vision: Large Data in Medical Imaging - Third International MICCAI Workshop, MCV 2013, Revised Selected Papers. Vol. 8331 LNCS Springer Verlag, 2014. pp. 65-73 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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