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.
|Title of host publication||Proceedings of the Sixth IASTED International Conference on Biomedical Engineering (BioMED 2008) : February 13 - 15, 2008, Innsbruck, Austria|
|Place of Publication||Calgary|
|Publication status||Published - 2009|
|Event||BioMED 2008 : Sixth IASTED International Conference on Biomedical Engineering - Innsbruck, Austria|
Duration: 13 Feb 2008 → 15 Feb 2008
|Conference||BioMED 2008 : Sixth IASTED International Conference on Biomedical Engineering|
|Period||13/02/08 → 15/02/08|