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Schnabel, J.A.* ; Tanner, C.* ; Castellano-Smith, A.D.* ; Degenhard, A.* ; Hayes, C.* ; Leach, M.O.* ; Hose, D.R.* ; Hill, D.L.G.* ; Hawkes, D.J.*

Finite element based validation of non-rigid registration using single- and multi-level free-form deformations: Application to contrast-enhanced MR mammography.

Proc. SPIE 4684 I, 550-561 (2002)
DOI
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
This work presents a validation study for non-rigid registration of 3D contrast enhanced magnetic resonance mammography images. We are using our previously developed methodology for simulating physically plausible, biomechanical tissue deformations using finite element methods to compare two non-rigid registration algorithms based on single-level and multi-level free-form deformations using B-splines and normalized mutual information. We have constructed four patient-specific finite element models and applied the solutions to the original post-contrast scans of the patients, simulating tissue deformation between image acquisitions. The original image pairs were registered to the FEM-deformed post-contrast images using different free-form deformation mesh resolutions. The target registration error was computed for each experiment with respect to the simulated gold standard on a voxel basis. Registration error and single-level free-form deformation resolution were found to be intrinsically related: the smaller the spacing, the higher localized errors, indicating local registration failure. For multi-level free-form deformations, the registration errors improved for increasing mesh resolution. This study forms an important milestone in making our non-rigid registration framework applicable for clinical routine use. © 2002 SPIE · 1605-7422/02/$15.00.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter B-splines ; Fems ; Ffds ; Magnetic Resonance ; Motion Simulation ; Non-rigid Registration Accuracy ; Normalized Mutual Information ; Tissue Deformation
ISSN (print) / ISBN 0277-786X
e-ISSN 1996-756X
Zeitschrift Proceedings of SPIE
Quellenangaben Band: 4684 I, Heft: , Seiten: 550-561 Artikelnummer: , Supplement: ,
Verlag SPIE
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute for Machine Learning in Biomed Imaging (IML)