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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 möglich sobald Postprint bei der ZB eingereicht worden ist.
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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Publikationstyp Artikel: Konferenzbeitrag
Korrespondenzautor
ISSN (print) / ISBN 0302-9743
e-ISSN 1611-3349
Zeitschrift Lecture Notes in Computer Science
Quellenangaben Band: 6136 LNCS, Heft: , Seiten: 736-743 Artikelnummer: , Supplement: ,
Verlag Springer
Verlagsort Berlin [u.a.]
Nichtpatentliteratur Publikationen
Institut(e) Institute for Machine Learning in Biomed Imaging (IML)