A Software Framework for Creating Patient Specific Geometric Models from Medical Imaging Data for Simulation Based Medical Planning of Vascular Surgery (original) (raw)

Abstract

The primary purpose of vascular surgery is to restore blood flow to organs and tissues. Current methods of vascular treatment planning rely solely on diagnostic and empirical data to guide the decision-making process. This paper details a simulation-based medical planning system for cardiovascular disease that use computational methods to evaluate alternative surgical options prior to treatment using patient-specific models of the vascular system. A software framework, called Geodesic, is introduced that reduces the time required to build patient-specific models from medical imaging data from several weeks to less than one day.

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Authors and Affiliations

  1. CISX 305, Stanford University, Stanford, CA, 94305-4075, USA
    Nathan Wilson
  2. CISX 332, Stanford University, Stanford, CA, 94305-4075, USA
    Kenneth Wang
  3. CISX 333, Stanford University, Stanford, CA, 94305-4075, USA
    Robert W. Dutton
  4. Division of Biomechanical Engineering, Durand 213, Stanford University, Stanford, CA, 94305-3030, USA
    Charles Taylor

Authors

  1. Nathan Wilson
  2. Kenneth Wang
  3. Robert W. Dutton
  4. Charles Taylor

Editor information

Editors and Affiliations

  1. Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
    Wiro J. Niessen & Max A. Viergever &

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© 2001 Springer-Verlag Berlin Heidelberg

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Wilson, N., Wang, K., Dutton, R.W., Taylor, C. (2001). A Software Framework for Creating Patient Specific Geometric Models from Medical Imaging Data for Simulation Based Medical Planning of Vascular Surgery. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3\_54

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