Abstract
In this article, the major idea and mathematical aspects of model-based planning and real-time predictive control for laser-induced thermal therapy (LITT) are presented. In particular, a computational framework and its major components developed by authors in recent years are reviewed. The framework provides the backbone for not only treatment planning but also real-time surgical monitoring and control with a focus on MR thermometry enabled predictive control and applications to image-guided LITT, or MRgLITT. Although this computational framework is designed for LITT in treating prostate cancer, it is further applicable to other thermal therapies in focal lesions induced by radio-frequency (RF), microwave and high-intensity-focused ultrasound (HIFU). Moreover, the model-based dynamic closed-loop predictive control algorithms in the framework, facilitated by the coupling of mathematical modelling and computer simulation with real-time imaging feedback, has great potential to enable a novel methodology in thermal medicine. Such technology could dramatically increase treatment efficacy and reduce morbidity.
Original language | English (US) |
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Pages (from-to) | 751-761 |
Number of pages | 11 |
Journal | International Journal of Hyperthermia |
Volume | 27 |
Issue number | 8 |
DOIs | |
State | Published - Dec 2011 |
Keywords
- Bioheat transfer
- Finite element modelling
- Laser-induced thermal therapy
- MR temperature imaging
- Real-time control
ASJC Scopus subject areas
- Physiology
- Physiology (medical)
- Cancer Research