Patient-specific tumor prognosis prediction via multimodality imaging

Richard M. Wasserman; Raj S. Acharya; Claudio H. Sibata; Kyu H. Shin

doi:10.1117/12.237889

8 April 1996 Patient-specific tumor prognosis prediction via multimodality imaging

Richard M. Wasserman, Raj S. Acharya, Claudio H. Sibata, Kyu H. Shin

Proceedings Volume 2709, Medical Imaging 1996: Physiology and Function from Multidimensional Images; (1996) https://doi.org/10.1117/12.237889
Event: Medical Imaging 1996, 1996, Newport Beach, CA, United States

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.

Citation Download Citation

Richard M. Wasserman, Raj S. Acharya, Claudio H. Sibata, and Kyu H. Shin "Patient-specific tumor prognosis prediction via multimodality imaging", Proc. SPIE 2709, Medical Imaging 1996: Physiology and Function from Multidimensional Images, (8 April 1996); https://doi.org/10.1117/12.237889

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