The Library
Statistical surface-based morphometry using a nonparametric approach
Tools
Tools
Tools
Pantazis, Dimitrios, Leahy, Richard M., Nichols, Thomas E. and Styner, Martin Andreas (2004) Statistical surface-based morphometry using a nonparametric approach. In: Symposium on Biomedical Imaging 2004, Arlington, VA, USA, 15th-18th April 2004. Published in: Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium, Vol.2 pp. 1283-1286. ISSN 1945-8452. doi:10.1109/ISBI.2004.1398780
Research output not available from this repository, contact author.
Official URL: http://dx.doi.org/10.1109/ISBI.2004.1398780
Abstract
We present a novel method of statistical surface-based morphometry based on the use of nonparametric permutation tests. In order to evaluate morphological differences of brain structures, we compare anatomical structures acquired at different times and/or from different subjects. Registration to a common coordinate system establishes corresponding locations and the differences between such locations are modeled as a displacement vector field (DVF). The analysis of DVFs involves testing thousands of hypothesis for signs of statistically significant effects. We randomly permute the surface data among two groups to determine thresholds that control the family wise (type 1) error rate. These thresholds are based on the maximum distribution of the amplitude of the vector fields, which implicitly accounts for spatial correlation of the fields. We propose two normalization schemes for achieving uniform spatial sensitivity. We demonstrate their application in a shape similarity study of the lateral ventricles of monozygotic twins and nonrelated subjects.
| Item Type: | Conference Item (Paper) | ||||
|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry |
||||
| Divisions: | Faculty of Science > Statistics | ||||
| Library of Congress Subject Headings (LCSH): | Morphology -- Statistical methods, Nonparametric statistics, Magnetic resonance imaging -- Statistical methods, Brain -- Imaging -- Statistical methods | ||||
| Journal or Publication Title: | Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium | ||||
| Publisher: | IEEE | ||||
| ISSN: | 1945-8452 | ||||
| Official Date: | April 2004 | ||||
| Dates: |
|
||||
| Volume: | Vol.2 | ||||
| Page Range: | pp. 1283-1286 | ||||
| DOI: | 10.1109/ISBI.2004.1398780 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Conference Paper Type: | Paper | ||||
| Title of Event: | Symposium on Biomedical Imaging 2004 | ||||
| Type of Event: | Conference | ||||
| Location of Event: | Arlington, VA, USA | ||||
| Date(s) of Event: | 15th-18th April 2004 |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
