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Proceedings Paper

Patient-specific tumor prognosis prediction via multimodality imaging
Author(s): Richard M. Wasserman; Raj S. Acharya; Claudio H. Sibata; Kyu H. Shin
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Paper Abstract

This paper proposes an approach to advance the utility of physical modeling techniques for medical applications by correlating finite element based models with the mechanical anatomy characteristic of a clinical patient. A methodology is presented to model the patient-specific mechanical response of brain tissue in vivo. The resultant model is parameterized in terms of clinical CT and MRI imaging sequences acquired for each patient. Applications of the proposed technique to the areas of brain tumor growth modeling and predicting tissue shifts during stereotactic neurosurgery, are described. Results are presented for an implementation of our approach to the problem of predictive brain tumor modeling.

Paper Details

Date Published: 8 April 1996
PDF: 12 pages
Proc. SPIE 2709, Medical Imaging 1996: Physiology and Function from Multidimensional Images, (8 April 1996); doi: 10.1117/12.237889
Show Author Affiliations
Richard M. Wasserman, SUNY/Buffalo (United States)
Raj S. Acharya, SUNY/Buffalo (United States)
Claudio H. Sibata, Roswell Park Cancer Institute (United States)
Kyu H. Shin, Roswell Park Cancer Institute (United States)


Published in SPIE Proceedings Vol. 2709:
Medical Imaging 1996: Physiology and Function from Multidimensional Images
Eric A. Hoffman, Editor(s)

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