Strain Measurement in Coronary Arteries Using Intravascular Ultrasound and Deformable ImagesSource: Journal of Biomechanical Engineering:;2002:;volume( 124 ):;issue: 006::page 734Author:Alexander I. Veress
,
Jeffrey A. Weiss
,
Grant T. Gullberg
,
D. Geoffrey Vince
,
Richard D. Rabbitt
DOI: 10.1115/1.1519279Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Atherosclerotic plaque rupture is responsible for the majority of myocardial infarctions and acute coronary syndromes. Rupture is initiated by mechanical failure of the plaque cap, and thus study of the deformation of the plaque in the artery can elucidate the events that lead to myocardial infarction. Intravascular ultrasound (IVUS) provides high resolution in vitro and in vivo cross-sectional images of blood vessels. To extract the deformation field from sequences of IVUS images, a registration process must be performed to correlate material points between image pairs. The objective of this study was to determine the efficacy of an image registration technique termed Warping to determine strains in plaques and coronary arteries from paired IVUS images representing two different states of deformation. The Warping technique uses pointwise differences in pixel intensities between image pairs to generate a distributed body force that acts to deform a finite element model. The strain distribution estimated by image-based Warping showed excellent agreement with a known forward finite element solution, representing the gold standard, from which the displaced image was created. The Warping technique had a low sensitivity to changes in material parameters or material model and had a low dependency on the noise present in the images. The Warping analysis was also able to produce accurate strain distributions when the constitutive model used for the Warping analysis and the forward analysis was different. The results of this study demonstrate that Warping in conjunction with in vivo IVUS imaging will determine the change in the strain distribution resulting from physiological loading and may be useful as a diagnostic tool for predicting the likelihood of plaque rupture through the determination of the relative stiffness of the plaque constituents.
keyword(s): Deformation , Ultrasound , Warping , Constitutive equations , Coronary arteries , Force , Noise (Sound) , Finite element analysis , Finite element model , Image registration , Strain measurement , Stress , Materials properties , Resolution (Optics) AND Physiology ,
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contributor author | Alexander I. Veress | |
contributor author | Jeffrey A. Weiss | |
contributor author | Grant T. Gullberg | |
contributor author | D. Geoffrey Vince | |
contributor author | Richard D. Rabbitt | |
date accessioned | 2017-05-09T00:06:43Z | |
date available | 2017-05-09T00:06:43Z | |
date copyright | December, 2002 | |
date issued | 2002 | |
identifier issn | 0148-0731 | |
identifier other | JBENDY-26278#734_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/126344 | |
description abstract | Atherosclerotic plaque rupture is responsible for the majority of myocardial infarctions and acute coronary syndromes. Rupture is initiated by mechanical failure of the plaque cap, and thus study of the deformation of the plaque in the artery can elucidate the events that lead to myocardial infarction. Intravascular ultrasound (IVUS) provides high resolution in vitro and in vivo cross-sectional images of blood vessels. To extract the deformation field from sequences of IVUS images, a registration process must be performed to correlate material points between image pairs. The objective of this study was to determine the efficacy of an image registration technique termed Warping to determine strains in plaques and coronary arteries from paired IVUS images representing two different states of deformation. The Warping technique uses pointwise differences in pixel intensities between image pairs to generate a distributed body force that acts to deform a finite element model. The strain distribution estimated by image-based Warping showed excellent agreement with a known forward finite element solution, representing the gold standard, from which the displaced image was created. The Warping technique had a low sensitivity to changes in material parameters or material model and had a low dependency on the noise present in the images. The Warping analysis was also able to produce accurate strain distributions when the constitutive model used for the Warping analysis and the forward analysis was different. The results of this study demonstrate that Warping in conjunction with in vivo IVUS imaging will determine the change in the strain distribution resulting from physiological loading and may be useful as a diagnostic tool for predicting the likelihood of plaque rupture through the determination of the relative stiffness of the plaque constituents. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Strain Measurement in Coronary Arteries Using Intravascular Ultrasound and Deformable Images | |
type | Journal Paper | |
journal volume | 124 | |
journal issue | 6 | |
journal title | Journal of Biomechanical Engineering | |
identifier doi | 10.1115/1.1519279 | |
journal fristpage | 734 | |
journal lastpage | 741 | |
identifier eissn | 1528-8951 | |
keywords | Deformation | |
keywords | Ultrasound | |
keywords | Warping | |
keywords | Constitutive equations | |
keywords | Coronary arteries | |
keywords | Force | |
keywords | Noise (Sound) | |
keywords | Finite element analysis | |
keywords | Finite element model | |
keywords | Image registration | |
keywords | Strain measurement | |
keywords | Stress | |
keywords | Materials properties | |
keywords | Resolution (Optics) AND Physiology | |
tree | Journal of Biomechanical Engineering:;2002:;volume( 124 ):;issue: 006 | |
contenttype | Fulltext |