A comparison of acceleration techniques for nonrigid medical image registration

S. Klein, M. Staring, J.P.W. Pluim

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)


Mutual information based nonrigid registration of medical images is a popular approach. The coordinate mapping that relates the two images is found in an iterative optimisation procedure. In every iteration a computationally expensive evaluation of the mutual information's derivative is required. In this work two acceleration strategies are compared. The first technique aims at reducing the number of iterations, and, consequently, the number of derivative evaluations. The second technique reduces the computational costs per iteration by employing stochastic approximations of the derivatives. The performance of both methods is tested on an artificial registration problem, where the ground truth is known, and on a clinical problem involving low-dose CT scans and large deformations. The experiments show that the stochastic approximation approach is superior in terms of speed and robustness. However, more accurate solutions are obtained with the first technique. © Springer-Verlag Berlin Heidelberg 2006.
Original languageEnglish
Title of host publicationBiomedical Image Registration : Third International Workshop, WBIR 2006, Utrecht, The Netherlands, July 9-11, 2006. Proceedings
EditorsJ.P.W. Pluim, B. Likar, F.A. Gerritsen
Place of PublicationBerlin
ISBN (Print)978-3-540-35648-6;
Publication statusPublished - 2006
Eventconference; WBIR 2006 -
Duration: 1 Jan 2006 → …

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743


Conferenceconference; WBIR 2006
Period1/01/06 → …
OtherWBIR 2006


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