Computational Modeling and Real-Time Control of Patient-Specific Laser Treatment of Cancer
Identifieur interne : 000C13 ( Main/Curation ); précédent : 000C12; suivant : 000C14Computational Modeling and Real-Time Control of Patient-Specific Laser Treatment of Cancer
Auteurs : D. Fuentes [États-Unis] ; J. T. Oden [États-Unis] ; K. R. Diller [États-Unis] ; J. D. Hazle [États-Unis] ; A. Elliott [États-Unis] ; A. Shetty [États-Unis] ; R. J. Stafford [États-Unis]Source :
- Annals of biomedical engineering [ 0090-6964 ] ; 2009.
English descriptors
- KwdEn :
- Algorithms, Animals, Biomedical Engineering (methods), Calibration, Computational Biology (methods), Computer Simulation, Computer Systems, Dogs, Feedback, Forecasting, Hot Temperature, Humans, Hyperthermia, Induced, Image Processing, Computer-Assisted, Laser Therapy, Magnetic Resonance Imaging (methods), Male, Models, Biological, Phantoms, Imaging, Prostatic Neoplasms (therapy), Reproducibility of Results, Software, Therapy, Computer-Assisted.
- MESH :
- methods : Biomedical Engineering, Computational Biology, Magnetic Resonance Imaging.
- therapy : Prostatic Neoplasms.
- Algorithms, Animals, Calibration, Computer Simulation, Computer Systems, Dogs, Feedback, Forecasting, Hot Temperature, Humans, Hyperthermia, Induced, Image Processing, Computer-Assisted, Laser Therapy, Male, Models, Biological, Phantoms, Imaging, Reproducibility of Results, Software, Therapy, Computer-Assisted.
Abstract
An adaptive feedback control system is presented which employs a computational model of bioheat transfer in living tissue to guide, in real-time, laser treatments of prostate cancer monitored by magnetic resonance thermal imaging (MRTI). The system is built on what can be referred to as cyberinfrastructure - a complex structure of high-speed network, large-scale parallel computing devices, laser optics, imaging, visualizations, inverse-analysis algorithms, mesh generation, and control systems that guide laser therapy to optimally control the ablation of cancerous tissue. The computational system has been successfully tested on
Url:
DOI: 10.1007/s10439-008-9631-8
PubMed: 19148754
PubMed Central: 4064943
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PMC:4064943Le document en format XML
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<series><title level="j">Annals of biomedical engineering</title>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms</term>
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<term>Calibration</term>
<term>Computational Biology (methods)</term>
<term>Computer Simulation</term>
<term>Computer Systems</term>
<term>Dogs</term>
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<term>Forecasting</term>
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<term>Laser Therapy</term>
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<term>Dogs</term>
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<front><div type="abstract" xml:lang="en"><p id="P3">An adaptive feedback control system is presented which employs a computational model of bioheat transfer in living tissue to guide, in real-time, laser treatments of prostate cancer monitored by magnetic resonance thermal imaging (MRTI). The system is built on what can be referred to as cyberinfrastructure - a complex structure of high-speed network, large-scale parallel computing devices, laser optics, imaging, visualizations, inverse-analysis algorithms, mesh generation, and control systems that guide laser therapy to optimally control the ablation of cancerous tissue. The computational system has been successfully tested on <italic>in-vivo</italic>
, canine prostate. Over the course of an 18 minute laser induced thermal therapy (LITT) performed at M.D. Anderson Cancer Center (MDACC) in Houston, Texas, the computational models were calibrated to intra-operative real time thermal imaging treatment data and the calibrated models controlled the bioheat transfer to within 5°C of the predetermined treatment plan. The computational arena is in Austin, Texas and managed at the Institute for Computational Engineering and Sciences (ICES). The system is designed to control the bioheat transfer remotely while simultaneously providing real-time remote visualization of the on-going treatment. Post operative histology of the canine prostate reveal that the damage region was within the targeted 1.2cm diameter treatment objective.</p>
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