Literature DB >> 21041157

Incorporation of a left ventricle finite element model defining infarction into the XCAT imaging phantom.

Alexander I Veress1, W Paul Segars, Benjamin M W Tsui, Grant T Gullberg.   

Abstract

The 4D extended cardiac-torso (XCAT) phantom was developed to provide a realistic and flexible model of the human anatomy and cardiac and respiratory motions for use in medical imaging research. A prior limitation to the phantom was that it did not accurately simulate altered functions of the heart that result from cardiac pathologies such as coronary artery disease (CAD). We overcame this limitation in a previous study by combining the phantom with a finite-element (FE) mechanical model of the left ventricle (LV) capable of more realistically simulating regional defects caused by ischemia. In the present work, we extend this model giving it the ability to accurately simulate motion abnormalities caused by myocardial infarction (MI), a far more complex situation in terms of altered mechanics compared with the modeling of acute ischemia. The FE model geometry is based on high resolution CT images of a normal male subject. An anterior region was defined as infarcted and the material properties and fiber distribution were altered, according to the bio-physiological properties of two types of infarction, i.e., fibrous and remodeled infarction (30% thinner wall than fibrous case). Compared with the original, surface-based 4D beating heart model of the XCAT, where regional abnormalities are modeled by simply scaling down the motion in those regions, the FE model was found to provide a more accurate representation of the abnormal motion of the LV due to the effects of fibrous infarction as well as depicting the motion of remodeled infarction. In particular, the FE models allow for the accurate depiction of dyskinetic motion. The average circumferential strain results were found to be consistent with measured dyskinetic experimental results. Combined with the 4D XCAT phantom, the FE model can be used to produce realistic multimodality sets of imaging data from a variety of patients in which the normal or abnormal cardiac function is accurately represented.

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Year:  2010        PMID: 21041157      PMCID: PMC3097415          DOI: 10.1109/TMI.2010.2089801

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  72 in total

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4.  Septal perfusion and wall thickening in patients with left bundle branch block assessed by technetium-99m-sestamibi gated tomography.

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Journal:  Ann Biomed Eng       Date:  1998 Sep-Oct       Impact factor: 3.934

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  11 in total

1.  The direct incorporation of perfusion defect information to define ischemia and infarction in a finite element model of the left ventricle.

Authors:  Alexander I Veress; George S K Fung; Taek-Soo Lee; Benjamin M W Tsui; Gregory A Kicska; W Paul Segars; Grant T Gullberg
Journal:  J Biomech Eng       Date:  2015-02-25       Impact factor: 2.097

2.  Continuous flow left ventricular pump support and its effect on regional left ventricular wall stress: finite element analysis study.

Authors:  Choon-Sik Jhun; Kay Sun; Joshua P Cysyk
Journal:  Med Biol Eng Comput       Date:  2014-10-05       Impact factor: 2.602

Review 3.  An exponential growth of computational phantom research in radiation protection, imaging, and radiotherapy: a review of the fifty-year history.

Authors:  X George Xu
Journal:  Phys Med Biol       Date:  2014-08-21       Impact factor: 3.609

4.  Quantitative analysis of hypertrophic myocardium using diffusion tensor magnetic resonance imaging.

Authors:  Nicholas Tran; Archontis Giannakidis; Grant T Gullberg; Youngho Seo
Journal:  J Med Imaging (Bellingham)       Date:  2016-11-03

5.  Left ventricular finite element model bounded by a systemic circulation model.

Authors:  A I Veress; G M Raymond; G T Gullberg; J B Bassingthwaighte
Journal:  J Biomech Eng       Date:  2013-05       Impact factor: 2.097

6.  MRXCAT: Realistic numerical phantoms for cardiovascular magnetic resonance.

Authors:  Lukas Wissmann; Claudio Santelli; William P Segars; Sebastian Kozerke
Journal:  J Cardiovasc Magn Reson       Date:  2014-08-20       Impact factor: 5.364

7.  Image reconstruction in higher dimensions: myocardial perfusion imaging of tracer dynamics with cardiac motion due to deformation and respiration.

Authors:  Uttam M Shrestha; Youngho Seo; Elias H Botvinick; Grant T Gullberg
Journal:  Phys Med Biol       Date:  2015-10-09       Impact factor: 3.609

8.  Weighted least-squares finite element method for cardiac blood flow simulation with echocardiographic data.

Authors:  Fei Wei; John Westerdale; Eileen M McMahon; Marek Belohlavek; Jeffrey J Heys
Journal:  Comput Math Methods Med       Date:  2012-01-16       Impact factor: 2.238

9.  Modeling and representation of human hearts for volumetric measurement.

Authors:  Qiu Guan; Wanliang Wang; Guang Wu
Journal:  Comput Math Methods Med       Date:  2011-11-13       Impact factor: 2.238

10.  A Comparison of Hyperelastic Warping of PET Images with Tagged MRI for the Analysis of Cardiac Deformation.

Authors:  Alexander I Veress; Gregory Klein; Grant T Gullberg
Journal:  Int J Biomed Imaging       Date:  2013-06-13
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