Improved cortical thickness measurement from mr images using partial volume estimation

Bourgeat, Pierrick, Acosta, Oscar, Zuluaga, Maria, Fripp, Jurgen, Salvado, Olivier and Ourselin, Sebastien (2008). Improved cortical thickness measurement from mr images using partial volume estimation. In: 2008 IEEE International Symposium On Biomedical Imaging: From Nano to Macro, Vols 1-4. 5th IEEE International Symposium on Biomedical Imaging - From Nano to Macro, Paris France, (205-208). 14-17 May 2008. doi:10.1109/ISBI.2008.4540968


Author Bourgeat, Pierrick
Acosta, Oscar
Zuluaga, Maria
Fripp, Jurgen
Salvado, Olivier
Ourselin, Sebastien
Title of paper Improved cortical thickness measurement from mr images using partial volume estimation
Conference name 5th IEEE International Symposium on Biomedical Imaging - From Nano to Macro
Conference location Paris France
Conference dates 14-17 May 2008
Proceedings title 2008 IEEE International Symposium On Biomedical Imaging: From Nano to Macro, Vols 1-4   Check publisher's open access policy
Journal name 2008 Ieee International Symposium On Biomedical Imaging: From Nano to Macro, Vols 1-4   Check publisher's open access policy
Place of Publication Piscataway, NJ, United States
Publisher IEEE
Publication Year 2008
Sub-type Fully published paper
DOI 10.1109/ISBI.2008.4540968
ISBN 9781424420025
1424420024
ISSN 1945-7928
Start page 205
End page 208
Total pages 4
Language eng
Formatted Abstract/Summary
Accurate cortical thickness estimation is important for the study of many neurodegenerative diseases. Amongst the approaches previously proposed in the literature, mesh based techniques typically lack computational efficiency, whereas voxel based techniques tend to be faster but are less accurate. The aim of this work is to propose a novel voxel based method using the Laplacian definition of thickness, being both accurate and computationally efficient. A subvoxel estimate of the location of the boundary is obtained through ray-casting using both partial volume estimation and the direction of the streamlines. This estimate is then used to initialise the boundary conditions when computing the length of the streamlines. The approach was validated on synthetic phantoms and real data, showing an improved accuracy and reproducibility.
Keyword gay matter segmentation
cortical thickness
partial volume estimation
Brain
Model
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ

 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 4 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 5 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Mon, 22 Aug 2011, 18:41:03 EST by System User on behalf of School of Information Technol and Elec Engineering