Large deformation diffeomorphism and momentum based hippocampal shape discrimination in dementia of the alzheimer type

Lei Wang; Faisal Beg; Tilak Ratnanather; Can Ceritpglu; Laurent Younes; John C. Morris; John G. Csernansky; Michael I. Miller

doi:10.1109/TMI.2006.887380

Large deformation diffeomorphism and momentum based hippocampal shape discrimination in dementia of the alzheimer type

Lei Wang^*, Faisal Beg, Tilak Ratnanather, Can Ceritpglu, Laurent Younes, John C. Morris, John G. Csernansky, Michael I. Miller

^*Corresponding author for this work

Psychiatry and Behavioral Sciences

Research output: Contribution to journal › Article › peer-review

131 Scopus citations

Abstract

In large-deformation diffeomorphic metric mapping (LDDMM), the diffeomorphic matching of images are modeled as evolution in time, or a flow, of an associated smooth velocity vector field v controlling the evolution. The initial momentum parameterizes the whole geodesic and encodes the shape and form of the target image. Thus, methods such as principal component analysis (FCÄ) of the initial momentum leads to analysis of anatomical shape and form in target images without being restricted to smalldeformation assumption in the analysis of linear displacements. We apply this approach to a study of dementia of the Alzheimer type (DAT). The left hippocampus in the DAT group shows significant shape abnormality while the right hippocampus shows similar pattern of abnormality. Further, PCA of the initial momentum leads to correct classification of 12 out of 18 DAT subjects and 22 out of 26 control subjects.

Original language	English (US)
Pages (from-to)	462-470
Number of pages	9
Journal	IEEE Transactions on Medical Imaging
Volume	26
Issue number	4
DOIs	https://doi.org/10.1109/TMI.2006.887380
State	Published - Apr 2007

Funding

Manuscript received September 19, 2006; revised October 13, 2006. This work was supported in part by the National Institutes of Health (NIH) under Grant P50-MH71616, Grant R01-MH60883, Grant R01-MH56584, Grant R01-MH064838, Grant P01-AG03991, Grant R01-AG025824, and P50-AG05681, AG05684, in part by the National Center for Research Resources under Grant P41-RR15241, in part by the National Science Foundation under Grant DMS-0456253, in part by the Natural Sciences and Engineering Research Council (Canada) under Grant 31-611387, and in part by a grant from the HIGHQ Foundation (Canada). Asterisk indicates corresponding author. *L. Wang is with the Department of Psychiatry, Washington University School of Medicine, Campus Box 8134, 660 S. Euclid Ave, St. Louis, MO 63110 USA (e-mail: [email protected]).

Keywords

Alzheimer's disease
Geodesic
LDDMM
Momentum
PCA

ASJC Scopus subject areas

Software
Radiological and Ultrasound Technology
Electrical and Electronic Engineering
Computer Science Applications

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10.1109/TMI.2006.887380

Cite this

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title = "Large deformation diffeomorphism and momentum based hippocampal shape discrimination in dementia of the alzheimer type",

abstract = "In large-deformation diffeomorphic metric mapping (LDDMM), the diffeomorphic matching of images are modeled as evolution in time, or a flow, of an associated smooth velocity vector field v controlling the evolution. The initial momentum parameterizes the whole geodesic and encodes the shape and form of the target image. Thus, methods such as principal component analysis (FC{\"A}) of the initial momentum leads to analysis of anatomical shape and form in target images without being restricted to smalldeformation assumption in the analysis of linear displacements. We apply this approach to a study of dementia of the Alzheimer type (DAT). The left hippocampus in the DAT group shows significant shape abnormality while the right hippocampus shows similar pattern of abnormality. Further, PCA of the initial momentum leads to correct classification of 12 out of 18 DAT subjects and 22 out of 26 control subjects.",

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note = "Funding Information: Manuscript received September 19, 2006; revised October 13, 2006. This work was supported in part by the National Institutes of Health (NIH) under Grant P50-MH71616, Grant R01-MH60883, Grant R01-MH56584, Grant R01-MH064838, Grant P01-AG03991, Grant R01-AG025824, and P50-AG05681, AG05684, in part by the National Center for Research Resources under Grant P41-RR15241, in part by the National Science Foundation under Grant DMS-0456253, in part by the Natural Sciences and Engineering Research Council (Canada) under Grant 31-611387, and in part by a grant from the HIGHQ Foundation (Canada). Asterisk indicates corresponding author. *L. Wang is with the Department of Psychiatry, Washington University School of Medicine, Campus Box 8134, 660 S. Euclid Ave, St. Louis, MO 63110 USA (e-mail: [email protected]).",

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AU - Beg, Faisal

AU - Ratnanather, Tilak

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AU - Younes, Laurent

AU - Morris, John C.

AU - Csernansky, John G.

AU - Miller, Michael I.

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N2 - In large-deformation diffeomorphic metric mapping (LDDMM), the diffeomorphic matching of images are modeled as evolution in time, or a flow, of an associated smooth velocity vector field v controlling the evolution. The initial momentum parameterizes the whole geodesic and encodes the shape and form of the target image. Thus, methods such as principal component analysis (FCÄ) of the initial momentum leads to analysis of anatomical shape and form in target images without being restricted to smalldeformation assumption in the analysis of linear displacements. We apply this approach to a study of dementia of the Alzheimer type (DAT). The left hippocampus in the DAT group shows significant shape abnormality while the right hippocampus shows similar pattern of abnormality. Further, PCA of the initial momentum leads to correct classification of 12 out of 18 DAT subjects and 22 out of 26 control subjects.

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Large deformation diffeomorphism and momentum based hippocampal shape discrimination in dementia of the alzheimer type

Abstract

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Keywords

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