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Schnabel, J.A.* ; Rueckert, D.* ; Quist, M.* ; Blackall, J.M.* ; Castellano-Smith, A.D.* ; Hartkens, T.* ; Penney, G.P.* ; Hall, W.A.* ; Liu, H.* ; Truwit, C.L.* ; Gerritsen, F.A.* ; Hill, D.L.G.* ; Hawkes, D.J.*

A generic framework for non-rigid registration based on non-uniform multi-level free-form deformations.

In: (International Conference on Medical Image Computing and Computer-Assisted Intervention). Berlin [u.a.]: Springer, 2001. 573-581 (Lect. Notes Comput. Sc. ; 2208)
DOI
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
This work presents a framework for non-rigid registration which extends and generalizes a previously developed technique by Rueckert et al. [1]. We combine multi-resolution optimization with free-form deformations (FFDs) based on multi-level B-splines to simulate a non-uniform control point distribution. We have applied this to a number of different medical registration tasks to demonstrate its wide applicability, including interventional MRI brain tissue deformation compensation, breathing motion compensation in liver MRI, intramodality inter-modality registration of pre-operative brain MRI to CT electrode implant data, and inter-subject registration of brain MRI. Our results demonstrate that the new algorithm can successfully register images with an improved performance, while achieving a significant reduction in run-time.
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Publikationstyp Artikel: Konferenzbeitrag
Korrespondenzautor
ISSN (print) / ISBN 0302-9743
e-ISSN 1611-3349
Konferenztitel International Conference on Medical Image Computing and Computer-Assisted Intervention
Zeitschrift Lecture Notes in Computer Science
Quellenangaben Band: 2208, Heft: , Seiten: 573-581 Artikelnummer: , Supplement: ,
Verlag Springer
Verlagsort Berlin [u.a.]
Nichtpatentliteratur Publikationen
Institut(e) Institute for Machine Learning in Biomed Imaging (IML)