Colchester, Alan C. F. and Ourselin, Sébastien and Zhu, Yonggen and Bardinet, Eric and He, Yang and Roche, Alexis and Al-Sarraj, Safa and Nailon, Bill and Ironside, James and Ayache, Nicholas (2000) 3-D Reconstruction of Macroscopic Optical Brain Slice Images. In: Delp, Scott L. and DiGioia, Anthony M. and Jaramaz, Branislav, eds. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2000 Third International Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 95-105. ISBN 978-3-540-41189-5. E-ISBN 978-3-540-40899-4. (doi:10.1007/978-3-540-40899-4_10) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:12075)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1007/978-3-540-40899-4_10 |
Abstract
We present a method for reconstruction of macroscopic optical images of post-mortem brain slices to form a 3-D volume. This forms a key part of a series of procedures to allow post mortem findings to be accurately registered with MR images, and more generally provides a method for 3-D mapping of the distribution of pathological changes throughout the brain. In this preliminary work, four brains from a study of Creutzfeldt-Jakob disease were examined. After brain fixation, the pathologist cut coronal slices several mm thick through the brain. The anterior and posterior faces of each slice were photographed. We show that the 2-D co-registration of each such pair of images was most effectively obtained if the slice was placed in a jig before photographing. Fiducials on the jig were detected automatically and point-based rigid registration computed. For co-registration between slices, i.e., across a single cut, an intensity-based method for 2-D non-rigid registration is used which provided satisfactory results. By propagating the 2-D registrations through the volume and using the known slice thickness, the 3-D volume was reconstructed.
Item Type: | Book section |
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DOI/Identification number: | 10.1007/978-3-540-40899-4_10 |
Uncontrolled keywords: | registration, magnetic resonance image-to-pathology correlation, Creutzfeldt-Jakob disease |
Subjects: |
R Medicine T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing |
Divisions: | Divisions > Division for the Study of Law, Society and Social Justice > School of Social Policy, Sociology and Social Research |
Depositing User: | M.P. Stone |
Date Deposited: | 08 Aug 2009 19:14 UTC |
Last Modified: | 05 Nov 2024 09:45 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/12075 (The current URI for this page, for reference purposes) |
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