Computational Investigation of Transmural Differences in Left Ventricular ContractilitySource: Journal of Biomechanical Engineering:;2016:;volume( 138 ):;issue: 011::page 114501Author:Wang, Hua
,
Zhang, Xiaoyan
,
Dorsey, Shauna M.
,
McGarvey, Jeremy R.
,
Campbell, Kenneth S.
,
Burdick, Jason A.
,
Gorman, III, Joseph H.
,
Pilla, James J.
,
Gorman, Robert C.
,
Wenk, Jonathan F.
DOI: 10.1115/1.4034558Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Myocardial contractility of the left ventricle (LV) plays an essential role in maintaining normal pump function. A recent ex vivo experimental study showed that cardiomyocyte force generation varies across the three myocardial layers of the LV wall. However, the in vivo distribution of myocardial contractile force is still unclear. The current study was designed to investigate the in vivo transmural distribution of myocardial contractility using a noninvasive computational approach. For this purpose, four cases with different transmural distributions of maximum isometric tension (Tmax) and/or reference sarcomere length (lR) were tested with animal-specific finite element (FE) models, in combination with magnetic resonance imaging (MRI), pressure catheterization, and numerical optimization. Results of the current study showed that the best fit with in vivo MRI-derived deformation was obtained when Tmax assumed different values in the subendocardium, midmyocardium, and subepicardium with transmurally varying lR. These results are consistent with recent ex vivo experimental studies, which showed that the midmyocardium produces more contractile force than the other transmural layers. The systolic strain calculated from the best-fit FE model was in good agreement with MRI data. Therefore, the proposed noninvasive approach has the capability to predict the transmural distribution of myocardial contractility. Moreover, FE models with a nonuniform distribution of myocardial contractility could provide a better representation of LV function and be used to investigate the effects of transmural changes due to heart disease.
|
Collections
Show full item record
| contributor author | Wang, Hua | |
| contributor author | Zhang, Xiaoyan | |
| contributor author | Dorsey, Shauna M. | |
| contributor author | McGarvey, Jeremy R. | |
| contributor author | Campbell, Kenneth S. | |
| contributor author | Burdick, Jason A. | |
| contributor author | Gorman, III, Joseph H. | |
| contributor author | Pilla, James J. | |
| contributor author | Gorman, Robert C. | |
| contributor author | Wenk, Jonathan F. | |
| date accessioned | 2017-11-25T07:17:55Z | |
| date available | 2017-11-25T07:17:55Z | |
| date copyright | 2016/10/21 | |
| date issued | 2016 | |
| identifier issn | 0148-0731 | |
| identifier other | bio_138_11_114501.pdf | |
| identifier uri | http://138.201.223.254:8080/yetl1/handle/yetl/4234842 | |
| description abstract | Myocardial contractility of the left ventricle (LV) plays an essential role in maintaining normal pump function. A recent ex vivo experimental study showed that cardiomyocyte force generation varies across the three myocardial layers of the LV wall. However, the in vivo distribution of myocardial contractile force is still unclear. The current study was designed to investigate the in vivo transmural distribution of myocardial contractility using a noninvasive computational approach. For this purpose, four cases with different transmural distributions of maximum isometric tension (Tmax) and/or reference sarcomere length (lR) were tested with animal-specific finite element (FE) models, in combination with magnetic resonance imaging (MRI), pressure catheterization, and numerical optimization. Results of the current study showed that the best fit with in vivo MRI-derived deformation was obtained when Tmax assumed different values in the subendocardium, midmyocardium, and subepicardium with transmurally varying lR. These results are consistent with recent ex vivo experimental studies, which showed that the midmyocardium produces more contractile force than the other transmural layers. The systolic strain calculated from the best-fit FE model was in good agreement with MRI data. Therefore, the proposed noninvasive approach has the capability to predict the transmural distribution of myocardial contractility. Moreover, FE models with a nonuniform distribution of myocardial contractility could provide a better representation of LV function and be used to investigate the effects of transmural changes due to heart disease. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Computational Investigation of Transmural Differences in Left Ventricular Contractility | |
| type | Journal Paper | |
| journal volume | 138 | |
| journal issue | 11 | |
| journal title | Journal of Biomechanical Engineering | |
| identifier doi | 10.1115/1.4034558 | |
| journal fristpage | 114501 | |
| journal lastpage | 114501-6 | |
| tree | Journal of Biomechanical Engineering:;2016:;volume( 138 ):;issue: 011 | |
| contenttype | Fulltext |