Using Cyber-Infrastructure for Dynamic Data Driven Laser Treatment of Cancer

Bajaj, C., Oden, J. T., Diller, K. R. , Browne, J. C., Hazle, J., Babuška, I., Bass, J., Bidaut, Luc, Demkowicz, L., Elliott, A., Feng, Y., Fuentes, D., Kwon, B., Prudhomme, S., Stafford, R. J. and Zhang, Y. (2007) Using Cyber-Infrastructure for Dynamic Data Driven Laser Treatment of Cancer. Lecture Notes in Computer Science, 4487 . pp. 972-979. ISSN 0302-9743

Full content URL: http://doi.org/10.1007/978-3-540-72584-8_128

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Item Type:Article
Item Status:Live Archive

Abstract

Hyperthermia based cancer treatments are used to increase the susceptibility of cancerous tissue to subsequent radiation or chemotherapy treatments, and in the case in which a tumor exists as a well-defined region, higher intensity heat sources may be used to ablate the tissue. Utilizing the guidance of real-time treatment data while applying a laser heat source has the potential to provide unprecedented control over the outcome of the treatment process [6,12]. The goals of this work are to provide a working snapshot of the current system architecture developed to provide a real-time finite element solution of the problems of calibration, optimal heat source control, and goal-oriented error estimation applied the equations of bioheat transfer and demonstrate that current finite element technology, parallel computer architecture, peer-to-peer data transfer infrastructure, and thermal imaging modalities are capable of inducing a precise computer controlled temperature field within the biological domain.

Additional Information:The final published version of this article can be accessed online at https://link.springer.com/chapter/10.1007%2F978-3-540-72584-8_128
Keywords:cancer treatments, Data driven, laser treament
Subjects:F Physical Sciences > F350 Medical Physics
Divisions:College of Science > School of Computer Science
ID Code:29490
Deposited On:13 Aug 2018 13:49

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