ArticleIEEE transactions on bio-medical engineering2010
Adaptive real-time bioheat transfer models for computer-driven MR-guided laser induced thermal therapy.
Article in IEEE transactions on bio-medical engineering, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Model Predictive Filtering MR Temperature Imaging for Laser-Induced Interstitial Thermotherapy.Magnetic resonance in medicine · 2026Article
- Automated laser retraction for targeted glioblastoma coverage during laser interstitial thermal therapy.Medical physics · 2026Article
- ResFouriONet: A Residual Fourier Operator Network with Synthetic Data Generation for Real-Time Laser-Induced Bioheat Transfer Modeling.International communications in heat and mass transfer · 2026Article
- Predictive Digital Twins with Quantified Uncertainty for Patient-Specific Decision Making in Oncology.ArXiv · 2025Article
- Magnetic particle imaging resolution needed for magnetic hyperthermia treatment planning: a sensitivity analysis.Frontiers in thermal engineering · 2025Article
- Adaptive simulation of 3D thermometry maps for interventional MR-guided tumor ablation using Pennes' bioheat equation and isotherms.Scientific reports · 2022Article
- Predictive modeling of brain tumor laser ablation dynamics.Journal of neuro-oncology · 2019Article
- Improved Photoacoustic-Based Oxygen Saturation Estimation With SNR-Regularized Local Fluence Correction.IEEE transactions on medical imaging · 2019Article
- Percutaneous laser ablation for benign and malignant thyroid diseases.Ultrasonography (Seoul, Korea) · 2019Article
- Design and initial evaluation of a treatment planning software system for MRI-guided laser ablation in the brain.International journal of computer assisted radiology and surgery · 2014Article
- Generalised polynomial chaos-based uncertainty quantification for planning MRgLITT procedures.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2013Article
- An inverse problem approach to recovery of in vivo nanoparticle concentrations from thermal image monitoring of MR-guided laser induced thermal therapy.Annals of biomedical engineering · 2013Article
- Challenges to effective cancer nanotheranostics.Journal of controlled release : official journal of the Controlled Release Society · 2012Review
- Kalman filtered MR temperature imaging for laser induced thermal therapies.IEEE transactions on medical imaging · 2012Article
- Magnetic resonance temperature imaging validation of a bioheat transfer model for laser-induced thermal therapy.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2011Article
- Model-based planning and real-time predictive control for laser-induced thermal therapy.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2011Review
- High-fidelity computer models for prospective treatment planning of radiofrequency ablation with in vitro experimental correlation.Journal of vascular and interventional radiology : JVIR · 2010Article
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Authors and funding
7 authors.
Funding
Abstract
The treatment times of laser induced thermal therapies (LITT) guided by computational prediction are determined by the convergence behavior of partial differential equation (PDE)-constrained optimization problems. In this paper, we investigate the convergence behavior of a bioheat transfer constrained calibration problem to assess the feasibility of applying to real-time patient specific data. The calibration techniques utilize multiplanar thermal images obtained from the nondestructive in vivo heating of canine prostate. The calibration techniques attempt to adaptively recover the biothermal heterogeneities within the tissue on a patient-specific level and results in a formidable PDE constrained optimization problem to be solved in real time. A comprehensive calibration study is performed with both homogeneous and spatially heterogeneous biothermal model parameters with and without constitutive nonlinearities. Initial results presented here indicate that the calibration problems involving the inverse solution of thousands of model parameters can converge to a solution within three minutes and decrease the [see text for symbol](L) (2) (2) ((0, T; L) (2) ((Omega))) norm of the difference between computational prediction and the measured temperature values to a patient-specific regime.
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