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Validation of Alternating Kernel Mixture Method: Application to Tissue Segmentation of Cortical and Subcortical Structures
Joint Authors
Priebe, Carey E.
Lee, Nayoung A.
Ratnanather, J. Tilak
Miller, Michael I.
Source
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-07-13
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper describes the application of the alternating Kernel mixture (AKM) segmentation algorithm to high resolution MRI subvolumes acquired from a 1.5T scanner (hippocampus, n=10 and prefrontal cortex, n=9) and a 3T scanner (hippocampus, n=10 and occipital lobe, n=10).
Segmentation of the subvolumes into cerebrospinal fluid, gray matter, and white matter tissue is validated by comparison with manual segmentation.
When compared with other segmentation methods that use traditional Bayesian segmentation, AKM yields smaller errors (P<.005, exact Wilcoxon signed rank test) demonstrating the robustness and wide applicability of AKM across different structures.
By generating multiple mixtures for each tissue compartment, AKM mimics the increased variation of manual segmentation in partial volumes due to the highly folded tissues.
AKM's superior performance makes it useful for tissue segmentation of subcortical and cortical structures in large-scale neuroimaging studies.
American Psychological Association (APA)
Lee, Nayoung A.& Priebe, Carey E.& Miller, Michael I.& Ratnanather, J. Tilak. 2008. Validation of Alternating Kernel Mixture Method: Application to Tissue Segmentation of Cortical and Subcortical Structures. BioMed Research International،Vol. 2008, no. 2008, pp.1-8.
https://search.emarefa.net/detail/BIM-987761
Modern Language Association (MLA)
Lee, Nayoung A.…[et al.]. Validation of Alternating Kernel Mixture Method: Application to Tissue Segmentation of Cortical and Subcortical Structures. BioMed Research International No. 2008 (2008), pp.1-8.
https://search.emarefa.net/detail/BIM-987761
American Medical Association (AMA)
Lee, Nayoung A.& Priebe, Carey E.& Miller, Michael I.& Ratnanather, J. Tilak. Validation of Alternating Kernel Mixture Method: Application to Tissue Segmentation of Cortical and Subcortical Structures. BioMed Research International. 2008. Vol. 2008, no. 2008, pp.1-8.
https://search.emarefa.net/detail/BIM-987761
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-987761