A Generic Framework for Non-rigid Registration Based on Non-uniform Multi-level Free-Form Deformations

Authors:
Julia A. Schnabel;Daniel Rueckert;Marcel Quist;Jane M. Blackall;Andy D. Castellano-Smith;Thomas Hartkens;Graeme P. Penney;Walter A. Hall;Haiying Liu;Charles L. Truwit;Frans A. Gerritsen;Derek L. G. Hill;David J. Hawkes
Affiliations:
-;-;-;-;-;-;-;-;-;-;-;-;-
Venue:
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Year:
2001

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Abstract

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, intra-modality 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.