Fast multi-core based multimodal registration of 2D cross-sections and 3D datasets |
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Authors: | Michael Scharfe Rainer Pielot Falk Schreiber |
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Institution: | (1) Leibniz-Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, D-06466 Gatersleben, Germany;(2) Leibniz-Institute for Neurobiology (IfN), Brenneckestr. 6, D-39118 Magdeburg, Germany;(3) Institute of Computer Science, Martin Luther University Halle-Wittenberg, Von-Seckendorff-Platz 1, D-06120 Halle, Germany |
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Abstract: | Background Solving bioinformatics tasks often requires extensive computational power. Recent trends in processor architecture combine
multiple cores into a single chip to improve overall performance. The Cell Broadband Engine (CBE), a heterogeneous multi-core
processor, provides power-efficient and cost-effective high-performance computing. One application area is image analysis
and visualisation, in particular registration of 2D cross-sections into 3D image datasets. Such techniques can be used to
put different image modalities into spatial correspondence, for example, 2D images of histological cuts into morphological
3D frameworks. |
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Keywords: | |
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