Proceedings Sixth IASTED international conference on biomedical engineering (BioMed) pages:419-424
IASTED international conference on biomedical engineering (BioMed) edition:6 location:Innsbruck, Austria date:13-15 February 2008
Elastic intra-patient registration can be used to correct for local motion within biomedical images. The application of elastic registration during interventional treatment is seriously hampered by its considerable computation time. The Graphics Processing Units (GPU) can be used to accelerate the calculation of such elastic registrations, without changing the basic registration algorithm. This article discusses how elastic image registration, using cubic B-spline based deformation fields, efficiently can be approached to make use of the vast processing power of the GPU. Our approach employs an efficient GPU-based cubic B-spline deformation field, and also calculates the similarity measure and its derivative on the GPU.
Ruijters D., ter Haar Romeny B.M., Suetens P., ''Efficient GPU-accelerated elastic image registration'', Proceedings Sixth IASTED international conference on biomedical engineering (BioMed), pp. 419-424, February 13-15, 2008, Innsbruck, Austria.