Efficient GPU-accelerated elastic image registration

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Elastic intra-patient registration can be used to correct for local motion within biomedical images. The application of elastic registration during interventional treatment is seri ously hampered by its considerable computation time. The Graphics Processing Units (GPU) can be used to accelerate the calculation of such elastic registrations, without chang ing the basic registration algorithm. This article discusses how elastic image registration, using cubic B-spline based deformation ¿elds, ef¿ciently can be approached to make use of the vast processing power of the GPU. Our approach employs an ef¿cient GPU-based cubic B-spline deforma tion ¿eld, and also calculates the similarity measure and its derivative on the GPU.
Original languageEnglish
Title of host publicationProceedings of the Sixth IASTED International Conference on Biomedical Engineering (BioMED 2008) : February 13 - 15, 2008, Innsbruck, Austria
EditorsA. Hierlemann
Place of PublicationCalgary
PublisherACTA Press
ISBN (Print)978-0-88986-721-5
Publication statusPublished - 2009
EventBioMED 2008 : Sixth IASTED International Conference on Biomedical Engineering - Innsbruck, Austria
Duration: 13 Feb 200815 Feb 2008


ConferenceBioMED 2008 : Sixth IASTED International Conference on Biomedical Engineering


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