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- Title
Fast multi-core based multimodal registration of 2D cross-sections and 3D datasets.
- Authors
Scharfe, Michael; Pielot, Rainer; Schreiber, Falk
- 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 highperformance 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. Results: 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 multicore 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.ipkgatersleben. de. Conclusions: 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.
- Subjects
BIOINFORMATICS; IMAGE processing; THREE-dimensional imaging; IMAGE analysis; COMPUTER graphics; SOURCE code
- Publication
BMC Bioinformatics, 2010, Vol 11, p1
- ISSN
1471-2105
- Publication type
Article
- DOI
10.1186/1471-2105-11-20