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    Modeling of Laser Coagulation of Tissue With MRI Temperature Monitoring

    Source: Journal of Biomechanical Engineering:;2010:;volume( 132 ):;issue: 006::page 64503
    Author:
    Xin Chen
    ,
    Gerald M. Saidel
    DOI: 10.1115/1.4001395
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Light energy from a laser source that is delivered into body tissue via a fiber-optic probe with minimal invasiveness has been used to ablate solid tumors. This thermal coagulation process can be guided and monitored accurately by continuous magnetic resonance imaging (MRI) since the laser energy delivery system does not interfere with MRI. This report deals with mathematical modeling and analysis of laser coagulation of tissue. This model is intended for “real-time” analysis of magnetic resonance images obtained during the coagulation process to guide clinical treatment. A mathematical model is developed to simulate the thermal response of tissue to a laser light heating source. For fast simulation, an approximate solution of the thermal model is used to predict the dynamics of temperature distribution and tissue damage induced by a laser energy line source. The validity of these simulations is tested by comparison with MRI-based temperature data acquired from in vivo experiments in rabbits. The model-simulated temperature distribution and predicted lesion dynamics correspond closely with MRI-based data. These results demonstrate the potential for using this combination of fast modeling and MRI technologies during laser heating of tissue for online prediction of tumor lesion size during laser heating.
    keyword(s): Temperature , Lasers , Biological tissues , Modeling , Magnetic resonance imaging , Temperature distribution , Dynamics (Mechanics) , Probes , Heating AND Engineering simulation ,
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      Modeling of Laser Coagulation of Tissue With MRI Temperature Monitoring

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/142614
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    • Journal of Biomechanical Engineering

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    contributor authorXin Chen
    contributor authorGerald M. Saidel
    date accessioned2017-05-09T00:36:37Z
    date available2017-05-09T00:36:37Z
    date copyrightJune, 2010
    date issued2010
    identifier issn0148-0731
    identifier otherJBENDY-27144#064503_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/142614
    description abstractLight energy from a laser source that is delivered into body tissue via a fiber-optic probe with minimal invasiveness has been used to ablate solid tumors. This thermal coagulation process can be guided and monitored accurately by continuous magnetic resonance imaging (MRI) since the laser energy delivery system does not interfere with MRI. This report deals with mathematical modeling and analysis of laser coagulation of tissue. This model is intended for “real-time” analysis of magnetic resonance images obtained during the coagulation process to guide clinical treatment. A mathematical model is developed to simulate the thermal response of tissue to a laser light heating source. For fast simulation, an approximate solution of the thermal model is used to predict the dynamics of temperature distribution and tissue damage induced by a laser energy line source. The validity of these simulations is tested by comparison with MRI-based temperature data acquired from in vivo experiments in rabbits. The model-simulated temperature distribution and predicted lesion dynamics correspond closely with MRI-based data. These results demonstrate the potential for using this combination of fast modeling and MRI technologies during laser heating of tissue for online prediction of tumor lesion size during laser heating.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleModeling of Laser Coagulation of Tissue With MRI Temperature Monitoring
    typeJournal Paper
    journal volume132
    journal issue6
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.4001395
    journal fristpage64503
    identifier eissn1528-8951
    keywordsTemperature
    keywordsLasers
    keywordsBiological tissues
    keywordsModeling
    keywordsMagnetic resonance imaging
    keywordsTemperature distribution
    keywordsDynamics (Mechanics)
    keywordsProbes
    keywordsHeating AND Engineering simulation
    treeJournal of Biomechanical Engineering:;2010:;volume( 132 ):;issue: 006
    contenttypeFulltext
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