Literature DB >> 25663830

3D Echo-Based Patient-Specific Computational Left Ventricle Models to Quantify Material Properties and Stress/Strain Differences between Ventricles with and without Infarct.

Rui Fan1, Dalin Tang2, Jing Yao3, Chun Yang4, Di Xu3.   

Abstract

Identifying ventricle material properties and its infarct area after heart attack noninvasively is of great important in clinical applications. An echo-based computational modeling approach was proposed to investigate left ventricle (LV) mechanical properties and stress conditions using patient-specific data. Echo data was acquired from one healthy volunteer (male, age: 58) and a male patient (age: 60) who had an acute inferior myocardial infarction one week before echo image acquisition. Standard echocardiograms were obtained using an ultrasound machine (E9, GE Mechanical Systems, Milwaukee, Wisconsin) with a 3V probe and data were segmented for model construction. Finite element models were constructed to obtain ventricle stress and strain conditions. A pre-shrink process was applied so that the model ventricle geometries under end-of-systole pressure matched in vivo data. Our results indicated that the modeling approach has the potential to be used to determine ventricle material properties. The equivalent Young's modulus value from the healthy LV (LV1) was about 30% softer than that of the infarct LV (LV2) at end of diastole, but was about 100% stiffer than that of LV2 at end of systole. This can be explained as LV1 has more active contraction reflected by stiffness variations. Using averaged values, at end-systole, longitudinal curvature from LV2 was 164% higher than that from LV1. LV stress from LV2 was 82% higher than that from LV1. At end-diastole, L-curvature from LV2 was still 132% higher than that from LV1, while LV stress from LV2 was only 9% higher than that from LV1. Longitudinal curvature and stress showed the largest differences between the two ventricles, with the LV with infarct having higher longitudinal curvature and stress values. Large scale studies are needed to further confirm our findings.

Entities:  

Keywords:  Heart attack; infarct, ventricle model; left ventricle; ventricle mechanics

Year:  2014        PMID: 25663830      PMCID: PMC4319570     

Source DB:  PubMed          Journal:  Comput Model Eng Sci        ISSN: 1526-1492            Impact factor:   1.593


  30 in total

Review 1.  Modeling total heart function.

Authors:  Peter J Hunter; Andrew J Pullan; Bruce H Smaill
Journal:  Annu Rev Biomed Eng       Date:  2003       Impact factor: 9.590

Review 2.  Strain and strain rate imaging: a new clinical approach to quantifying regional myocardial function.

Authors:  George R Sutherland; Giovanni Di Salvo; Piet Claus; Jan D'hooge; Bart Bijnens
Journal:  J Am Soc Echocardiogr       Date:  2004-07       Impact factor: 5.251

3.  Coupling of a 3D finite element model of cardiac ventricular mechanics to lumped systems models of the systemic and pulmonic circulation.

Authors:  Roy C P Kerckhoffs; Maxwell L Neal; Quan Gu; James B Bassingthwaighte; Jeff H Omens; Andrew D McCulloch
Journal:  Ann Biomed Eng       Date:  2006-11-08       Impact factor: 3.934

4.  Noninvasive myocardial strain measurement by speckle tracking echocardiography: validation against sonomicrometry and tagged magnetic resonance imaging.

Authors:  Brage H Amundsen; Thomas Helle-Valle; Thor Edvardsen; Hans Torp; Jonas Crosby; Erik Lyseggen; Asbjørn Støylen; Halfdan Ihlen; João A C Lima; Otto A Smiseth; Stig A Slørdahl
Journal:  J Am Coll Cardiol       Date:  2006-01-26       Impact factor: 24.094

Review 5.  Biomechanics of cardiac electromechanical coupling and mechanoelectric feedback.

Authors:  Emily R Pfeiffer; Jared R Tangney; Jeffrey H Omens; Andrew D McCulloch
Journal:  J Biomech Eng       Date:  2014-02       Impact factor: 2.097

6.  Assessment of cardiac function by three-dimensional echocardiography compared with conventional noninvasive methods.

Authors:  A S Gopal; Z Shen; P M Sapin; A M Keller; M J Schnellbaecher; D W Leibowitz; O O Akinboboye; R A Rodney; D K Blood; D L King
Journal:  Circulation       Date:  1995-08-15       Impact factor: 29.690

7.  Ventricular myoarchitecture in tetralogy of Fallot.

Authors:  D Sanchez-Quintana; R H Anderson; S Y Ho
Journal:  Heart       Date:  1996-09       Impact factor: 5.994

8.  Mechanics of active contraction in cardiac muscle: Part II--Cylindrical models of the systolic left ventricle.

Authors:  J M Guccione; L K Waldman; A D McCulloch
Journal:  J Biomech Eng       Date:  1993-02       Impact factor: 2.097

9.  Long-term survival of medically treated patients in the Coronary Artery Surgery Study (CASS) Registry.

Authors:  M Emond; M B Mock; K B Davis; L D Fisher; D R Holmes; B R Chaitman; G C Kaiser; E Alderman; T Killip
Journal:  Circulation       Date:  1994-12       Impact factor: 29.690

10.  Patient-specific MRI-based 3D FSI RV/LV/patch models for pulmonary valve replacement surgery and patch optimization.

Authors:  Dalin Tang; Chun Yang; Tal Geva; Pedro J Del Nido
Journal:  J Biomech Eng       Date:  2008-08       Impact factor: 2.097

View more
  3 in total

1.  Infarcted Left Ventricles Have Stiffer Material Properties and Lower Stiffness Variation: Three-Dimensional Echo-Based Modeling to Quantify In Vivo Ventricle Material Properties.

Authors:  Longling Fan; Jing Yao; Chun Yang; Dalin Tang; Di Xu
Journal:  J Biomech Eng       Date:  2015-06-09       Impact factor: 2.097

2.  Ventricle stress/strain comparisons between Tetralogy of Fallot patients and healthy using models with different zero-load diastole and systole morphologies.

Authors:  Han Yu; Dalin Tang; Tal Geva; Chun Yang; Zheyang Wu; Rahul H Rathod; Xueying Huang; Kristen L Billiar; Pedro J Del Nido
Journal:  PLoS One       Date:  2019-08-14       Impact factor: 3.240

Review 3.  Current Understanding of the Biomechanics of Ventricular Tissues in Heart Failure.

Authors:  Wenqiang Liu; Zhijie Wang
Journal:  Bioengineering (Basel)       Date:  2019-12-20
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.