A patient-specific computer model for prediction of clinical outcomes in the cerebral circulation using MR flow measurements

M. E. Clark, Meide Zhao, Francis Loth, Noam Alperin, Lewis Sadler, Kern Guppy, Fady T. Charbel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

A patient-specific, computer model of the cerebral circulation to predict cerebral blood flow and pressure is presented. The model is based on a previously reported numeric model consisting of a network of distensible vessels with pulsatile flow. The enhanced model uses a sector scheme to determine the efferent resistance distribution for a specific patient. An iterative algorithm was developed to determine the patient-specific efferent resistance distribution from in vivo cerebral blood flow measurements obtained using phase contrast magnetic resonance angiography (PCMRA). In comparison with PCMRA flow measurements and clinical outcomes, the enhanced model shows its ability to predict cerebral flow well in three patients who underwent a balloon occlusion of the carotid artery. A model that accurately predicts cerebral blood flow for different treatment scenarios can provide the surgeon with an invaluable tool in the management of complex cerebral vascular disorders.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages368-377
Number of pages10
Volume1679
ISBN (Print)354066503X, 9783540665038
StatePublished - 1999
Externally publishedYes
Event2nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1999 - Cambridge, United Kingdom
Duration: Sep 19 1999Sep 22 1999

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1679
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1999
CountryUnited Kingdom
CityCambridge
Period9/19/999/22/99

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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    Clark, M. E., Zhao, M., Loth, F., Alperin, N., Sadler, L., Guppy, K., & Charbel, F. T. (1999). A patient-specific computer model for prediction of clinical outcomes in the cerebral circulation using MR flow measurements. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1679, pp. 368-377). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1679). Springer Verlag.