Bardinet, Eric and Colchester, Alan C. F. and Roche, Alexis and Zhu, Yu and Ourselin, Sébastien and Nailon, W. and Hojjatoleslami, Ali and Ironside, James and Al-Sarraj, Safa and Ayache, Nicholas and Wardlaw, J. (2001) Registration of Reconstructed Post-Mortem Optical Data with MR Scans of the Same Patient. In: Niessen, W.J. and Viergever, M.A., eds. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001: 4th International Conference. Springer, Berlin, Germany, pp. 957-965. ISBN 978-3-540-42697-4. E-ISBN 978-3-540-45468-7. (doi:10.1007/3-540-45468-3_114) (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:12013)
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/10.1007/3-540-45468-3_114 |
Abstract
We present a method for registration of macroscopic optical images with MR images of the same patient. 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 3D mapping of the distribution of pathological changes throughout the brain. The first stage of the method involves a 3D reconstruction of 2D brain slices and was presented in a previous paper [2]. In the current paper, we focus on the registration of the reconstructed volume with corresponding MR images.
Item Type: | Book section |
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DOI/Identification number: | 10.1007/3-540-45468-3_114 |
Uncontrolled keywords: | Brain Slice; Optical Data; Iterative Close Point; Iterative Close Point; Rigid Registration |
Subjects: | 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: | 20 Nov 2008 20:00 UTC |
Last Modified: | 05 Nov 2024 09:45 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/12013 (The current URI for this page, for reference purposes) |
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