Large-scale flow field visualization for aneurysm treatment

  • Authors:

  • Damon Liu;Mark Burgin;Walter Karplus;Daniel Valentino

  • Affiliations:

  • University of California, Los Angeles, Los Angeles, CA;University of California, Los Angeles, Los Angeles, CA;University of California, Los Angeles, Los Angeles, CA;University of California, Los Angeles, Los Angeles, CA

  • Venue:
  • ACM SIGAPP Applied Computing Review
  • Year:
  • 2001

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Abstract

An important medical problem of the non-invasive treatment of brain aneurysm has attracted growing interest. Aneurysm surgery remains dangerous because surgeons have limited knowledge of blood flow patterns and complex 3D geometry of aneurysms. This information is essential to determine if the aneurysm is suitable for a certain surgical technique. Therefore, a Virtual Aneurysm (VA) research was initiated to make it possible for medical specialists to obtain such detailed information.Here we discuss two schemes relating to the realization and efficiency of VA system. The first is a scheme of data storage and management technique. It is aimed not only to achieve higher access efficiency and storage utilization but also to reduce the stress of memory resources. The second is the scheme of the branching simulation approach attempting to lessen the computational burden at visualization. These schemes illustrated by VA system, requiring minimal run-time computing or memory, are suggested so as to best exploit the performance for the simulation and visualization. While there is no intrinsic difference when applied to other scientific and engineering areas, these schemes are more beneficial to typical biomedical visualizations when the data already push the limits of the simulation and visualization environment.