TY - GEN
T1 - On the Possibility of Estimating Myocardial Fiber Architecture from Cardiac Strains
AU - Usman, Muhammad
AU - Mendiola, Emilio A.
AU - Mukherjee, Tanmay
AU - Mehdi, Rana Raza
AU - Ohayon, Jacques
AU - Alluri, Prasanna G.
AU - Sadayappan, Sakthivel
AU - Choudhary, Gaurav
AU - Avazmohammadi, Reza
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - The myocardium is composed of a complex network of contractile myofibers that are organized in such a way as to produce efficient contraction and relaxation of the heart. The myofiber architecture in the myocardium is a key determinant of cardiac motion and the global or organ-level function of the heart. Reports of architectural remodeling in cardiac diseases, such as pulmonary hypertension and myocardial infarction, potentially contributing to cardiac dysfunction call for the inclusion of an architectural marker for an improved assessment of cardiac function. However, the in-vivo quantification of three-dimensional myo-architecture has proven challenging. In this work, we examine the sensitivity of cardiac strains to varying myofiber orientation using a multiscale finite-element model of the LV. Additionally, we present an inverse modeling approach to predict the myocardium fiber structure from cardiac strains. Our results indicate a strong correlation between fiber orientation and LV kinematics, corroborating that the fiber structure is a principal determinant of LV contractile behavior. Our inverse model was capable of accurately predicting the myocardial fiber range and regional fiber angles from strain measures. A concrete understanding of the link between LV myofiber structure and motion, and the development of non-invasive and feasible means of characterizing the myocardium architecture is expected to lead to advanced LV functional metrics and improved prognostic assessment of structural heart disease.
AB - The myocardium is composed of a complex network of contractile myofibers that are organized in such a way as to produce efficient contraction and relaxation of the heart. The myofiber architecture in the myocardium is a key determinant of cardiac motion and the global or organ-level function of the heart. Reports of architectural remodeling in cardiac diseases, such as pulmonary hypertension and myocardial infarction, potentially contributing to cardiac dysfunction call for the inclusion of an architectural marker for an improved assessment of cardiac function. However, the in-vivo quantification of three-dimensional myo-architecture has proven challenging. In this work, we examine the sensitivity of cardiac strains to varying myofiber orientation using a multiscale finite-element model of the LV. Additionally, we present an inverse modeling approach to predict the myocardium fiber structure from cardiac strains. Our results indicate a strong correlation between fiber orientation and LV kinematics, corroborating that the fiber structure is a principal determinant of LV contractile behavior. Our inverse model was capable of accurately predicting the myocardial fiber range and regional fiber angles from strain measures. A concrete understanding of the link between LV myofiber structure and motion, and the development of non-invasive and feasible means of characterizing the myocardium architecture is expected to lead to advanced LV functional metrics and improved prognostic assessment of structural heart disease.
KW - Myocardium architecture
KW - cardiac strains
KW - left ventricle
KW - magnetic resonance imaging
UR - http://www.scopus.com/inward/record.url?scp=85172722773&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85172722773&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-35302-4_8
DO - 10.1007/978-3-031-35302-4_8
M3 - Conference contribution
C2 - 37671365
AN - SCOPUS:85172722773
SN - 9783031353017
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 74
EP - 83
BT - Functional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings
A2 - Bernard, Olivier
A2 - Clarysse, Patrick
A2 - Duchateau, Nicolas
A2 - Ohayon, Jacques
A2 - Viallon, Magalie
PB - Springer Science and Business Media Deutschland GmbH
T2 - Functional Imaging and Modeling of the Heart - 12th International Conference, FIMH 2023, Proceedings
Y2 - 19 June 2023 through 22 June 2023
ER -