During hyperthermia therapy it is desirable to know the entire temperature field in the treatment region. Tikhonov regularization of order zero has been implemented. The accuracy of the estimates depends upon the value of regularization parameter, which has an optimal value that is dependent on the perfusion pattern and magnitude. The transient power-off time sampling length (i.e. the amount of transient data used) influences the accuracy of the estimates, and an optimal sampling length exists. The effects of additive noise are investigated, as are the effects of the initial guess of the perfusion values, and the effect of both symmetric and asymmetric blood perfusion patterns. The asymmetric patterns with noisy data are the most difficult cases to evaluate. The cases studied are not a comprehensive set, but a representative set whose results continue to show the feasibility of using state and parameter estimation methods to reconstruct the entire temperature field. (Abstract shortened with permission of author.)
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/276907 |
| Date | January 1988 |
| Creators | Liauh, Chihng-Tsung, 1960- |
| Contributors | Roemer, Robert B. |
| Publisher | The University of Arizona. |
| Source Sets | University of Arizona |
| Language | en_US |
| Detected Language | English |
| Type | text, Thesis-Reproduction (electronic) |
| Rights | Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. |
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