Population analysis of the cingulum bundle using the tubular surface model for schizophrenia detection

Vandana Mohan; Ganesh Sundaramoorthi; Marek Kubicki; Douglas Terry; Allen Tannenbaum

doi:10.1117/12.844297

Population analysis of the cingulum bundle using the tubular surface model for schizophrenia detection

Vandana Mohan, Ganesh Sundaramoorthi, Marek Kubicki, Douglas Terry, Allen Tannenbaum

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

We propose a novel framework for population analysis of DW-MRI data using the Tubular Surface Model. We focus on the Cingulum Bundle (CB)-a major tract for the Limbic System and the main connection of the Cingulate Gyrus, which has been associated with several aspects of Schizophrenia symptomatology. The Tubular Surface Model represents a tubular surface as a center-line with an associated radius function. It provides a natural way to sample statistics along the length of the fiber bundle and reduces the registration of fiber bundle surfaces to that of 4D curves. We apply our framework to a population of 20 subjects (10 normal, 10 schizophrenic) and obtain excellent results with neural network based classification (90% sensitivity, 95% specificity) as well as unsupervised clustering (k-means). Further, we apply statistical analysis to the feature data and characterize the discrimination ability of local regions of the CB, as a step towards localizing CB regions most relevant to Schizophrenia.

Original language	English (US)
Title of host publication	Medical Imaging 2010
Subtitle of host publication	Computer-Aided Diagnosis
Editors	Ronald M. Summers, Nico Karssemeijer
Publisher	SPIE
ISBN (Electronic)	9780819480255
DOIs	https://doi.org/10.1117/12.844297
State	Published - 2010
Externally published	Yes
Event	Medical Imaging 2010: Computer-Aided Diagnosis - San Diego, United States Duration: Feb 16 2010 → Feb 18 2010

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	7624
ISSN (Print)	1605-7422

Other

Other	Medical Imaging 2010: Computer-Aided Diagnosis
Country/Territory	United States
City	San Diego
Period	02/16/10 → 02/18/10

Bibliographical note

Publisher Copyright:
© 2016 SPIE.

ASJC Scopus subject areas

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

Access to Document

10.1117/12.844297

Cite this

Mohan, V., Sundaramoorthi, G., Kubicki, M., Terry, D., & Tannenbaum, A. (2010). Population analysis of the cingulum bundle using the tubular surface model for schizophrenia detection. In R. M. Summers, & N. Karssemeijer (Eds.), Medical Imaging 2010: Computer-Aided Diagnosis Article 762429 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7624). SPIE. https://doi.org/10.1117/12.844297

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title = "Population analysis of the cingulum bundle using the tubular surface model for schizophrenia detection",

abstract = "We propose a novel framework for population analysis of DW-MRI data using the Tubular Surface Model. We focus on the Cingulum Bundle (CB)-a major tract for the Limbic System and the main connection of the Cingulate Gyrus, which has been associated with several aspects of Schizophrenia symptomatology. The Tubular Surface Model represents a tubular surface as a center-line with an associated radius function. It provides a natural way to sample statistics along the length of the fiber bundle and reduces the registration of fiber bundle surfaces to that of 4D curves. We apply our framework to a population of 20 subjects (10 normal, 10 schizophrenic) and obtain excellent results with neural network based classification (90% sensitivity, 95% specificity) as well as unsupervised clustering (k-means). Further, we apply statistical analysis to the feature data and characterize the discrimination ability of local regions of the CB, as a step towards localizing CB regions most relevant to Schizophrenia.",

author = "Vandana Mohan and Ganesh Sundaramoorthi and Marek Kubicki and Douglas Terry and Allen Tannenbaum",

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year = "2010",

doi = "10.1117/12.844297",

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Mohan, V, Sundaramoorthi, G, Kubicki, M, Terry, D & Tannenbaum, A 2010, Population analysis of the cingulum bundle using the tubular surface model for schizophrenia detection. in RM Summers & N Karssemeijer (eds), Medical Imaging 2010: Computer-Aided Diagnosis., 762429, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 7624, SPIE, Medical Imaging 2010: Computer-Aided Diagnosis, San Diego, United States, 02/16/10. https://doi.org/10.1117/12.844297

Population analysis of the cingulum bundle using the tubular surface model for schizophrenia detection. / Mohan, Vandana; Sundaramoorthi, Ganesh; Kubicki, Marek et al.
Medical Imaging 2010: Computer-Aided Diagnosis. ed. / Ronald M. Summers; Nico Karssemeijer. SPIE, 2010. 762429 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7624).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Tannenbaum, Allen

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AB - We propose a novel framework for population analysis of DW-MRI data using the Tubular Surface Model. We focus on the Cingulum Bundle (CB)-a major tract for the Limbic System and the main connection of the Cingulate Gyrus, which has been associated with several aspects of Schizophrenia symptomatology. The Tubular Surface Model represents a tubular surface as a center-line with an associated radius function. It provides a natural way to sample statistics along the length of the fiber bundle and reduces the registration of fiber bundle surfaces to that of 4D curves. We apply our framework to a population of 20 subjects (10 normal, 10 schizophrenic) and obtain excellent results with neural network based classification (90% sensitivity, 95% specificity) as well as unsupervised clustering (k-means). Further, we apply statistical analysis to the feature data and characterize the discrimination ability of local regions of the CB, as a step towards localizing CB regions most relevant to Schizophrenia.

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Population analysis of the cingulum bundle using the tubular surface model for schizophrenia detection

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