Computational techniques for fast hyperthermia temperature optimization

Hyperthermia temperature optimization involves arriving at a temperature distribution which minimizes a stated goal function, the goal function having a biological basis in maximizing tumor cell kill while not exceeding normal tissue toxicity. This involves the computationally intensive process of m...

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Bibliographic Details
Published in:Medical physics (Lancaster) 1999-02, Vol.26 (2), p.319-328
Main Authors: Das, Shiva K., Clegg, Scott T., Samulski, Thaddeus V.
Format: Article
Language:English
Subjects:
biological tissues
Biothermics and thermal processes in biology
Cancer
cellular effects of radiation
Classical electromagnetism
Computational methods
Electromagnetic radiation
Electromagnetic therapy
Humans
hyperthermia
Hyperthermia, Induced
Mathematics
medical computing
Models, Biological
Neoplasms - therapy
Nonionizing radiation
Numerical optimization
optimisation
optimization
Physicists
radiation therapy
Radiation, Nonionizing
reduced order
Sensitivity and Specificity
Temperature
temperature distribution
Therapeutic applications
Tissues
tumours
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Summary:Hyperthermia temperature optimization involves arriving at a temperature distribution which minimizes a stated goal function, the goal function having a biological basis in maximizing tumor cell kill while not exceeding normal tissue toxicity. This involves the computationally intensive process of multiple evaluations of the temperature goal function, requiring repeated evaluations of the power deposition and its corresponding temperature distribution. Two computational schemes are proposed to expedite the temperature optimization process: (1) temperature distribution evaluation by superpositioning precomputed distributions, and (2) using representative tissue groups (rather than every point in the domain) to evaluate the goal function. The application of these schemes is illustrated with a typical optimization problem, as applied to symmetric and asymmetric, heterogeneous models. Application of these schemes reduced the optimization time on a DEC Alpha 1000 4/266 (Alpha is a registered trademark of Digital Equipment Corporation.) from several h to min, with little difference in results. The computational schemes, though demonstrated in the context of electromagnetic hyperthermia, are generally applicable to other forms of nonionizing radiation employed in hyperthermia therapy.
ISSN:0094-2405
2473-4209
DOI:10.1118/1.598519