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2-D to 3-D refinement of post-mortem optical and MRI co-registration

Kenwright, Chris and Bardinet, Eric and Hojjatoleslami, Ali and Malandain, Grégoire and Ayache, Nicholas and Colchester, Alan C. F. (2003) 2-D to 3-D refinement of post-mortem optical and MRI co-registration. In: Ellis, R.E. and Peters, T.M., eds. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003 6th International Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 935-944. ISBN 978-3-540-20464-0. E-ISBN 978-3-540-39903-2. (doi:10.1007/978-3-540-39903-2_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:12158)

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/10.1007/978-3-540-39903-2_114

Abstract

Accurate co-registration of MR images of the brain with pathological data from the same patient is required for many applications, including validation of in-vivo MRI processing. We present preliminary results from a 2-D optical to 3-D MRI registration process, which depends on initialisation using an initial 3-D reconstruction of post-mortem whole-brain or hemisphere slices from independent 2D images followed by 3-D to 3-D registration. Our overall approach progressively models the acquisition process, and the final stages account for variations in slice thickness and other errors that can occur as a result of the specimen preparation and earlier processing. Our method can be used in most neuropathology laboratories where thick slices are cut. Alternative approaches depend on sectioning by macrocryotomes, which are not generally available and have limited applicability in conditions such as CJD where infectivity risks are high.

Item Type: Book section
DOI/Identification number: 10.1007/978-3-540-39903-2_114
Uncontrolled keywords: Iterative Close Point, Coronal Slice, Optical Volume, Iterative Close Point, Iterative Close Point Algorithm
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: 14 Mar 2009 14:36 UTC
Last Modified: 16 Nov 2021 09:50 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/12158 (The current URI for this page, for reference purposes)

University of Kent Author Information

Hojjatoleslami, Ali.

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Colchester, Alan C. F..

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