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Non-Rigid Volume Registration - A CUDA-based GPU Implementation of the Morphon
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, The Institute of Technology. (Sectra Imtec, Linköping, Sweden)ORCID iD: 0000-0003-0908-9470
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, The Institute of Technology.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, The Institute of Technology.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9091-4724
2011 (English)Conference paper, Published paper (Other academic)
Abstract [en]

Image registration is frequently used within the medical image domain and where methods with high performance are required. The need for high accuracy coupled with high speed is especially important for applications such as adaptive radiation therapy and image-guided surgery. During the last years, a number of significant projects have been introduced to make the computational power of GPUs available to a wider audience. The most well known project is the introduction of CUDA (Compute Unified Device Architecture). In this paper, we present a CUDA based GPU implementation of a non-rigid image registration algorithm, known as the Morphon, and compare it with a CPU implementation of the Morphon. The achieved speedup, in the range of 51-54x, is also compared with speedups reported from other non-rigid registration methods mplemented on the GPU. These include the Demons algorithm and a mutual information based algorithm.

Place, publisher, year, edition, pages
2011.
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-75386OAI: oai:DiVA.org:liu-75386DiVA: diva2:506428
Conference
SSBA Symposium on Image Analysis, March 17-18, Linköping, Sweden
Funder
Swedish Research Council, 2007-4786
Available from: 2012-03-01 Created: 2012-02-28 Last updated: 2013-09-12Bibliographically approved

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Forsberg, DanielEklund, AndersAndersson, MatsKnutsson, Hans

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