High performance computing in biomedical imaging research

Mahlon Stacy, Dennis Hanson, Jon Camp, Richard A. Robb

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

The Mayo Biomedical Imaging Resource (BIR) conducts research into and development of image analysis, visualization, and measurement capabilities and software tools for biomedical imaging applications. The design goal for these tools includes full interactivity, yet some tools are both compute bound and time sensitive. Therefore, effective use of these capabilities requires that they be executed on high performance computers. This paper provides an overview of the high performance computing activities in the BIR, including resources, algorithms and applications.

Original languageEnglish (US)
Pages (from-to)1287-1321
Number of pages35
JournalParallel Computing
Volume24
Issue number9-10
DOIs
StatePublished - Sep 1998

Keywords

  • Biomedical imaging
  • Image processing
  • Image registration
  • Image segmentation
  • Image visualization

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computer Networks and Communications
  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence

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    Stacy, M., Hanson, D., Camp, J., & Robb, R. A. (1998). High performance computing in biomedical imaging research. Parallel Computing, 24(9-10), 1287-1321. https://doi.org/10.1016/S0167-8191(98)00059-3