Application of multiple modelling to hyperthermia estimation

Reducing the effects of model mismatch

J. K. Potocki, Hal S Tharp

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Multiple model estimation is a viable technique for dealing with the spatial perfusion model mismatch associated with hyperthermia dosimetry. Using multiple models, spatial discrimination can be obtained without increasing the number of unknown perfusion zones. Two multiple model estimators based on the extended Kalman filter (EKF) are designed and compared with two EKFs based on single models having greater perfusion zone segmentation. Results given here indicate that multiple modelling is advantageous when the number of thermal sensors is insufficient for convergence of single model estimators having greater perfusion zone segmentation. In situations where sufficient measured outputs exist for greater unknown perfusion parameter estimation, the multiple model estimators and the single model estimators yield equivalent results.

Original languageEnglish (US)
Pages (from-to)599-611
Number of pages13
JournalInternational Journal of Hyperthermia
Volume9
Issue number4
DOIs
StatePublished - 1993

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Keywords

  • EKF
  • Estimation
  • Model mismatch
  • Multiple modelling
  • Perfusion

ASJC Scopus subject areas

  • Cancer Research
  • Physiology
  • Radiological and Ultrasound Technology
  • Physiology (medical)

Cite this

Application of multiple modelling to hyperthermia estimation : Reducing the effects of model mismatch. / Potocki, J. K.; Tharp, Hal S.

In: International Journal of Hyperthermia, Vol. 9, No. 4, 1993, p. 599-611.

Research output: Contribution to journalArticle

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