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Fast multi-core based multimodal registration of 2D cross-sections and 3D datasets

Fast multi-core based multimodal registration of 2D cross-sections and 3D datasets

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Prüfsumme: MD5:91f19e4d80ef20e8893a87e4703ec152

SCHARFE, Michael, Rainer PIELOT, Falk SCHREIBER, 2010. Fast multi-core based multimodal registration of 2D cross-sections and 3D datasets. In: BMC Bioinformatics. 11, 20. eISSN 1471-2105. Available under: doi: 10.1186/1471-2105-11-20

@article{Scharfe2010multi-40221, title={Fast multi-core based multimodal registration of 2D cross-sections and 3D datasets}, year={2010}, doi={10.1186/1471-2105-11-20}, volume={11}, journal={BMC Bioinformatics}, author={Scharfe, Michael and Pielot, Rainer and Schreiber, Falk}, note={Article Number: 20} }

eng Pielot, Rainer 2017-10-02T08:57:10Z Background<br />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.<br /><br />Results<br />We evaluate the CBE-driven PlayStation 3 as a high performance, cost-effective computing platform by adapting a multimodal alignment procedure to several characteristic hardware properties. The optimisations are based on partitioning, vectorisation, branch reducing and loop unrolling techniques with special attention to 32-bit multiplies and limited local storage on the computing units. We show how a typical image analysis and visualisation problem, the multimodal registration of 2D cross-sections and 3D datasets, benefits from the multi-core based implementation of the alignment algorithm. We discuss several CBE-based optimisation methods and compare our results to standard solutions. More information and the source code are available from http://cbe.ipk-gatersleben.de.<br /><br />Conclusions<br />The results demonstrate that the CBE processor in a PlayStation 3 accelerates computational intensive multimodal registration, which is of great importance in biological/medical image processing. The PlayStation 3 as a low cost CBE-based platform offers an efficient option to conventional hardware to solve computational problems in image processing and bioinformatics. Schreiber, Falk Pielot, Rainer Scharfe, Michael terms-of-use Schreiber, Falk Scharfe, Michael 2010 Fast multi-core based multimodal registration of 2D cross-sections and 3D datasets 2017-10-02T08:57:10Z

Dateiabrufe seit 02.10.2017 (Informationen über die Zugriffsstatistik)

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