YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • Journal of Biomechanical Engineering
    • View Item
    •   YE&T Library
    • ASME
    • Journal of Biomechanical Engineering
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    A Novel Method for Quantifying Smooth Regional Variations in Myocardial Contractility Within an Infarcted Human Left Ventricle Based on Delay Enhanced Magnetic Resonance Imaging

    Source: Journal of Biomechanical Engineering:;2015:;volume( 137 ):;issue: 008::page 81009
    Author:
    Genet, Martin
    ,
    Chuan Lee, Lik
    ,
    Ge, Liang
    ,
    Acevedo
    ,
    Jeung, Nick
    ,
    Martin, Alastair
    ,
    Cambronero, Neil
    ,
    Boyle, Andrew
    ,
    Yeghiazarians, Yerem
    ,
    Kozerke, Sebastian
    ,
    Guccione, Julius M.
    DOI: 10.1115/1.4030667
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Heart failure is increasing at an alarming rate, making it a worldwide epidemic. As the population ages and life expectancy increases, this trend is not likely to change. Myocardial infarction (MI)induced adverse left ventricular (LV) remodeling is responsible for nearly 70% of heart failure cases. The adverse remodeling process involves an extension of the border zone (BZ) adjacent to an MI, which is normally perfused but shows myofiber contractile dysfunction. To improve patientspecific modeling of cardiac mechanics, we sought to create a finite element model of the human LV with BZ and MI morphologies integrated directly from delayedenhancement magnetic resonance (DEMR) images. Instead of separating the LV into discrete regions (e.g., the MI, BZ, and remote regions) with each having a homogeneous myocardial material property, we assumed a functional relation between the DEMR image pixel intensity and myocardial stiffness and contractility—we considered a linear variation of material properties as a function of DEMR image pixel intensity, which is known to improve the accuracy of the model's response. The finite element model was then calibrated using measurements obtained from the same patient—namely, 3D strain measurements—using complementary spatial modulation of magnetization magnetic resonance (CSPAMMMR) images. This led to an average circumferential strain error of 8.9% across all American Heart Association (AHA) segments. We demonstrate the utility of our method for quantifying smooth regional variations in myocardial contractility using cardiac DEMR and CSPAMMMR images acquired from a 78yrold woman who experienced an MI approximately 1 yr prior. We found a remote myocardial diastolic stiffness of C0آ¯=0.102 kPa, and a remote myocardial contractility of Tmaxآ¯=146.9 kPa, which are both in the range of previously published normal human values. Moreover, we found a normalized pixel intensity range of 30% for the BZ, which is consistent with the literature. Based on these regional myocardial material properties, we used our finite element model to compute patientspecific diastolic and systolic LV myofiber stress distributions, which cannot be measured directly. One of the main driving forces for adverse LV remodeling is assumed to be an abnormally high level of ventricular wall stress, and many existing and new treatments for heart failure fundamentally attempt to normalize LV wall stress. Thus, our noninvasive method for estimating smooth regional variations in myocardial contractility should be valuable for optimizing new surgical or medical strategies to limit the chronic evolution from infarction to heart failure.
    • Download: (2.442Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      A Novel Method for Quantifying Smooth Regional Variations in Myocardial Contractility Within an Infarcted Human Left Ventricle Based on Delay Enhanced Magnetic Resonance Imaging

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/157164
    Collections
    • Journal of Biomechanical Engineering

    Show full item record

    contributor authorGenet, Martin
    contributor authorChuan Lee, Lik
    contributor authorGe, Liang
    contributor authorAcevedo
    contributor authorJeung, Nick
    contributor authorMartin, Alastair
    contributor authorCambronero, Neil
    contributor authorBoyle, Andrew
    contributor authorYeghiazarians, Yerem
    contributor authorKozerke, Sebastian
    contributor authorGuccione, Julius M.
    date accessioned2017-05-09T01:15:20Z
    date available2017-05-09T01:15:20Z
    date issued2015
    identifier issn0148-0731
    identifier otherbio_137_08_081009.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/157164
    description abstractHeart failure is increasing at an alarming rate, making it a worldwide epidemic. As the population ages and life expectancy increases, this trend is not likely to change. Myocardial infarction (MI)induced adverse left ventricular (LV) remodeling is responsible for nearly 70% of heart failure cases. The adverse remodeling process involves an extension of the border zone (BZ) adjacent to an MI, which is normally perfused but shows myofiber contractile dysfunction. To improve patientspecific modeling of cardiac mechanics, we sought to create a finite element model of the human LV with BZ and MI morphologies integrated directly from delayedenhancement magnetic resonance (DEMR) images. Instead of separating the LV into discrete regions (e.g., the MI, BZ, and remote regions) with each having a homogeneous myocardial material property, we assumed a functional relation between the DEMR image pixel intensity and myocardial stiffness and contractility—we considered a linear variation of material properties as a function of DEMR image pixel intensity, which is known to improve the accuracy of the model's response. The finite element model was then calibrated using measurements obtained from the same patient—namely, 3D strain measurements—using complementary spatial modulation of magnetization magnetic resonance (CSPAMMMR) images. This led to an average circumferential strain error of 8.9% across all American Heart Association (AHA) segments. We demonstrate the utility of our method for quantifying smooth regional variations in myocardial contractility using cardiac DEMR and CSPAMMMR images acquired from a 78yrold woman who experienced an MI approximately 1 yr prior. We found a remote myocardial diastolic stiffness of C0آ¯=0.102 kPa, and a remote myocardial contractility of Tmaxآ¯=146.9 kPa, which are both in the range of previously published normal human values. Moreover, we found a normalized pixel intensity range of 30% for the BZ, which is consistent with the literature. Based on these regional myocardial material properties, we used our finite element model to compute patientspecific diastolic and systolic LV myofiber stress distributions, which cannot be measured directly. One of the main driving forces for adverse LV remodeling is assumed to be an abnormally high level of ventricular wall stress, and many existing and new treatments for heart failure fundamentally attempt to normalize LV wall stress. Thus, our noninvasive method for estimating smooth regional variations in myocardial contractility should be valuable for optimizing new surgical or medical strategies to limit the chronic evolution from infarction to heart failure.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Novel Method for Quantifying Smooth Regional Variations in Myocardial Contractility Within an Infarcted Human Left Ventricle Based on Delay Enhanced Magnetic Resonance Imaging
    typeJournal Paper
    journal volume137
    journal issue8
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.4030667
    journal fristpage81009
    journal lastpage81009
    identifier eissn1528-8951
    treeJournal of Biomechanical Engineering:;2015:;volume( 137 ):;issue: 008
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian