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Schweiger, M.* ; Camara-Rey, O.* ; Crum, W.R.* ; Lewis, E.C.* ; Schnabel, J.A.* ; Arridge, S.R.* ; Hill, D.L.G.* ; Fox, N.*

An inverse problem approach to the estimation of volume change.

Lect. Notes Comput. Sc. 3750 LNCS, 616-623 (2005)
DOI
Open Access Green as soon as Postprint is submitted to ZB.
We present a new technique for determining structure-by-structure volume changes, using an inverse problem approach. Given a pre-labelled brain and a series of images at different time-points, we generate finite element meshes from the image data, with volume change modelled by means of an unknown coefficient of expansion on a perstructure basis. We can then determine the volume change in each structure of interest using inverse problem optimization techniques. The proposed method has been tested with simulated and clinical data. Results suggest that the presented technique can be seen as an alternative for volume change estimation. © Springer-Verlag Berlin Heidelberg 2005.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
ISSN (print) / ISBN 0302-9743
e-ISSN 1611-3349
Journal Lecture Notes in Computer Science
Quellenangaben Volume: 3750 LNCS, Issue: , Pages: 616-623 Article Number: , Supplement: ,
Publisher Springer
Publishing Place Berlin [u.a.]
Non-patent literature Publications
Institute(s) Institute for Machine Learning in Biomed Imaging (IML)