Patient-specific temperature distribution prediction in laser interstitial thermal therapy: single-irradiation data-driven method
Tingting Gao,
Libin Liang,
Hui Ding
et al.
Abstract:Laser interstitial thermal therapy (LITT) has been popular for treating brain tumours and epilepsy. The strict control of tissue thermal damage extent is crucial for LITT. Temperature prediction is useful for predicting thermal damage extent. Accurately predicting in vivo brain tissue temperature is challenging due to the temperature dependence and the individual variations in tissue properties. Considering these factors is essential for improving the temperature prediction accuracy. Objective: To present a me… Show more
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