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Lee, A.W.C.* ; Schnabel, J.A.* ; Rajagopal, V.* ; Nielsen, P.M.F.* ; Nash, M.P.*

Breast image registration by combining finite elements and free-form deformations.

In:. Berlin [u.a.]: Springer, 2010. 736-743 (Lect. Notes Comput. Sc. ; 6136 LNCS)
DOI
Open Access Green as soon as Postprint is submitted to ZB.
During breast cancer diagnosis, the breasts undergo large deformations due to gravity or compression loads. It is therefore non-trivial to recover the deformation and register medical images of the breast in different orientations (e.g. prone versus supine). Free-form deformations and biomechanical finite element models have been used to non-rigidly register breast images from prone to supine, but with limited success. In this paper, we demonstrate that the use of a finite element model to predict the deformation of the breast from prone to supine provides a significantly more accurate registration compared to free-form deformation methods. We also show that the use of this biomechanical model prediction as a prior to free-form deformation provides a significantly more accurate match than does the use of either method independently. © 2010 Springer-Verlag.
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Publication type Article: Conference contribution
Corresponding Author
ISSN (print) / ISBN 0302-9743
e-ISSN 1611-3349
Journal Lecture Notes in Computer Science
Quellenangaben Volume: 6136 LNCS, Issue: , Pages: 736-743 Article Number: , Supplement: ,
Publisher Springer
Publishing Place Berlin [u.a.]
Non-patent literature Publications
Institute(s) Institute for Machine Learning in Biomed Imaging (IML)