Title:
Population Analysis of the Cingulum Bundle using the Tubular Surface Model for Schizophrenia Detection
Population Analysis of the Cingulum Bundle using the Tubular Surface Model for Schizophrenia Detection
| dc.contributor.author | Mohan, Vandana | |
| dc.contributor.author | Sundaramoorthi, Ganesh | |
| dc.contributor.author | Kubicki, Marek | |
| dc.contributor.author | Terry, Douglas | |
| dc.contributor.author | Tannenbaum, Allen R. | |
| dc.contributor.corporatename | Georgia Institute of Technology. School of Electrical and Computer Engineering | |
| dc.contributor.corporatename | University of California, Los Angeles. Computer Science Dept. | |
| dc.contributor.corporatename | Brigham and Women’s Hospital. Dept. of Radiology. Surgical Planning Laboratory | |
| dc.date.accessioned | 2010-04-26T19:07:01Z | |
| dc.date.available | 2010-04-26T19:07:01Z | |
| dc.date.issued | 2010-02-16 | |
| dc.description | ©2010 SPIE--The International Society for Optical Engineering. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. The electronic version of this article is the complete one and can be found online at: http://dx.doi.org/10.1117/12.844297 | en_US |
| dc.description | DOI: 10.1117/12.844297 | |
| dc.description | Presented at Medical Imaging 2010: Computer-Aided Diagnosis, 16 February 2010, San Diego, California, USA | |
| dc.description.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. | en_US |
| dc.identifier.citation | Vandana Mohan, Ganesh Sundaramoorthi, Marek Kubicki, Douglas Terry and Allen Tannenbaum, "Population Analysis of the Cingulum Bundle using the Tubular Surface Model for Schizophrenia Detection," Medical Imaging 2010: Computer-Aided Diagnosis, Nico Karssemeijer, Ronald M. Summers, editors, Proc. SPIE, Vol. 7624, 762429 (2010) | en_US |
| dc.identifier.issn | 0277-786X | |
| dc.identifier.uri | http://hdl.handle.net/1853/32757 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Georgia Institute of Technology | en_US |
| dc.publisher.original | International Society for Optical Engineering | |
| dc.subject | Tubular surface model | en_US |
| dc.subject | DW-MRI | en_US |
| dc.subject | Schizophrenia | en_US |
| dc.subject | Population analysis | en_US |
| dc.subject | Cingulum bundle | en_US |
| dc.title | Population Analysis of the Cingulum Bundle using the Tubular Surface Model for Schizophrenia Detection | en_US |
| dc.type | Text | |
| dc.type.genre | Proceedings | |
| dspace.entity.type | Publication | |
| local.contributor.corporatename | Wallace H. Coulter Department of Biomedical Engineering | |
| relation.isOrgUnitOfPublication | da59be3c-3d0a-41da-91b9-ebe2ecc83b66 |