GPU Accelerated Normalized Mutual Information and B-Spline Transformation

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dc.contributor.authorTeßmann, Matthiasen_US
dc.contributor.authorEisenacher, Christianen_US
dc.contributor.authorEnders, Franken_US
dc.contributor.authorStamminger, Marcen_US
dc.contributor.authorHastreiter, Peteren_US
dc.contributor.editorCharl Botha and Gordon Kindlmann and Wiro Niessen and Bernhard Preimen_US
dc.date.accessioned2014-01-29T17:02:11Z
dc.date.available2014-01-29T17:02:11Z
dc.date.issued2008en_US
dc.description.abstractVisualization of multimodal images in medicine and other application areas requires correct and efficient registration. Optimally, the alignment operation is made an integral part of the rendering process. Voxel based approaches using mutual information ensure high quality similarity measurement. As a limiting factor, high computational load is caused since for every iteration of the optimization procedure one volume is transformed into the coordinate system of the other, a 2D histogram is generated and mutual information is computed. The expensive trilinear interpolation operations are well supported by 3D texture mapping hardware. However, existing strategies compute the histogram and mutual information on the CPU and thus require a cost intensive data transfer. Overcoming this considerable bottleneck, we introduce a new approach that efficiently supports all computations on modern graphics cards. This makes expensive data transfers from GPU to main memory dispensable. Due to its modularity, the presented approach can be integrated into general frameworks. As a major result, the speed improvement over existing GPU-CPU strategies amounts to a factor of 4 and over pure conventional CPU techniques to more than a factor of 10. Overall, the suggested strategy contributes considerably to integration of multimodal registration directly into interactive volume visualization.en_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biomedicineen_US
dc.identifier.isbn978-3-905674-13-2en_US
dc.identifier.issn2070-5786en_US
dc.identifier.urihttps://doi.org/10.2312/VCBM/VCBM08/117-124en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.4.3 [Image Processing And Computer Vision]: Registrationen_US
dc.titleGPU Accelerated Normalized Mutual Information and B-Spline Transformationen_US
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VCBM 08: Eurographics Workshop on Visual Computing for Biomedicine