Capítulo de livro Acesso aberto Revisado por pares

Development of a Computational Paradigm for Laser Treatment of Cancer

2006; Springer Science+Business Media; Linguagem: Inglês

10.1007/11758532_70

ISSN

1611-3349

Autores

J. Tinsley Oden, Kenneth R. Diller, Chandrajit Bajaj, James C. Browne, John D. Hazle, Ivo Babuška, J. M. Bass, Leszek Demkowicz, Yonggang Feng, David Fuentes, Serge Prudhomme, M. Nichole Rylander, R. Jason Stafford, Yongjie Zhang,

Tópico(s)

Thermoelastic and Magnetoelastic Phenomena

Resumo

The goal of this project is to develop a dynamic data-driven planning and control system for laser treatment of cancer. The research includes (1) development of a general mathematical framework and a family of mathematical and computational models of bio-heat transfer, tissue damage, and tumor viability, (2) dynamic calibration, verification and validation processes based on laboratory and clinical data and simulated response, and (3) design of effective thermo-therapeutic protocols using model predictions. At the core of the proposed systems is the adaptive-feedback control of mathematical and computational models based on a posteriori estimates of errors in key quantities of interest, and modern Magnetic Resonance Temperature Imaging (MRTI), and diode laser devices to monitor treatment of tumors in laboratory animals. This approach enables an automated systematic model selection process based on acceptance criteria determined a priori. The methodologies to be implemented involve uncertainty quantification methods designed to provide an innovative, data-driven, patient-specific approach to effective cancer treatment.

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