Biomedical Diagnostics and Clinical Technologies: Applying High-Performance Cluster and Grid Computing: Applying High-Performance Cluster and Grid Computing

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Pereira, Manuela
Idea Group Inc (IGI), Sep 30, 2010 - Technology & Engineering - 396 pages
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The massive volume of data that some medical and biological applications generate require special processing resources that guarantee privacy and security, creating a crucial need for cluster and grid computing.

Biomedical Diagnostics and Clinical Technologies: Applying High-Performance Cluster and Grid Computing disseminates knowledge regarding high performance computing for medical applications and bioinformatics. Containing a defining body of research on the subject, this critical reference source includes a valuable collection of cutting-edge research chapters for those working in the broad field of medical informatics and bioinformatics.

 

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Contents

Review of the Most Popular Approaches
1
Medical Image Segmentationand Tracking Throughthe Maximisation or theMinimisation of DivergenceBetween PDFs
34
Modeling and Simulationof Deep Brain Stimulationin Parkinsons Disease
62
HighPerformance ImageReconstruction HPIR inThree Dimensions
121
Compression of Surface Meshes
163
The Role of SelfSimilarity forComputer Aided DetectionBased on Mammogram Analysis
181
Volumetric Texture Analysisin Biomedical Imaging
200
Analysis of DopplerEmbolic Signals
249
Massive Data Classificationof Neural Responses
278
The RT TPS Case
300
Image Registration forBiomedical InformationIntegration
316
Compilation of References
329
About the Contributors
370
Index
377
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About the author (2010)

Manuela Pereira received the 5-year B.S. degree in Mathetmatics and Computer Science in 1994 and the M. Sc. degree in Computational Mathematics in 1999, both from the University of Minho, Portugal. She received the Ph.D. degree in Signal and Image Processing in 2004 from the University of Nice Sophia Antipolis, France. She is an Assistant Professor at the Department of Computer Science of the University of Beira Interior, Portugal. Her main research interests include: multiple description coding, joint source/channel coding, image and video coding, wavelet analysis, information theory, image segmentation and real-time video streaming.

Mário M. Freire received the 5-year B.S. degree in Electrical Engineering and the M. Sc. degree in Systems and Automation in 1992 and 1994, respectively, from the University of Coimbra, Portugal. He received the Ph. D. degree in electrical engineering and the aggregated title in computer science in 2000 and 2007, respectively, both from the University of Beira Interior, Portugal. He is an Associate Professor of Computer Science at the University of Beira Interior. Presently, he is head of the Department of Computer Science of University of Beira Interior. He was the co-editor of 3 books in the LNCS book series of Springer, co-editor of 3 proceedings in IEEE Computer Society Press, and has authored or co-authored 4 interatinonal patents and around 100 papers in international refereed journals and conferences. His main research interests include: medical image processing, telemedicine, high-performance networking, network security, and peer-to-peer networks. [Editor]

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