TY - JOUR
T1 - Three-dimensional finite element models from Magnetic resonance images as a structural framework for continuum analysis of the heart
AU - McCulloch, Andrew D.
AU - Costa, Kevin D.
N1 - Funding Information:
We wish to acknowledge the contributions of the following colleagues in the development and testing of the finite element methods described here: Drs. Peter Hunter, Bruce Smaill, Poul Nielsen, Alistair Young, Lewis Waidman, Julius Guccione, Jennifer Wayne, Jack Rogers, Booker Bense and Mark Mitchiner. We also thank Drs. Rick Buxton and Sandra Van Leuven for help with the MR imaging, and Mr. Belete Degaga for help with the image analysis. This work is supported by NIH grants ROl HL41603, P01 HL43026, NIH training grant HL07089 and NSF grant BCS-9 157961.
Funding Information:
We wish to acknowledge the contributions of the following colleagues in the development and testing of the finite element methods described here: Drs. Peter Hunter, Bruce Smaill, Poul Nielsen, Alistair Young, Lewis Waldman, Julius Guccione, Jennifer Wayne, Jack Rogers, Booker Bense and Mark Mitchiner. We also thank Drs. Rick Buxton and Sandra Van Leuven for help with the MR imaging, and Mr. Belete Degaga for help with the image analysis. This work is supported by NIH grants R01 HL41603, P01 HL43026, NIH training grant HL07089 and NSF grant BCS-9157961.
Publisher Copyright:
© 1995 SPIE. All rights reserved.
PY - 1995/5/24
Y1 - 1995/5/24
N2 - Magnetic resonance imaging (MRI) is an extremely versatile technique for non-invasive imaging of the anatomy, structure and physiological function of the heart and other soft tissues and organs. Although mathematical models have often been used to enhance the information content of medical images, these models are most often based on the physics of the imaging system rather than the properties of the target organ or tissue. We use finite element (FE) models of regional mechanical and electrical function in the intact heart to compute three-dimensional distributions of important physiological field variables, such as myocardial stress, that cannot be imaged directly. A parametric model of the heart based on the physical properties of the organ as a material continuum provides a general and convenient way to synthesize clinical data, such as multi-dimensional images, with experimental tests, such as biomechanical and histological studies.
AB - Magnetic resonance imaging (MRI) is an extremely versatile technique for non-invasive imaging of the anatomy, structure and physiological function of the heart and other soft tissues and organs. Although mathematical models have often been used to enhance the information content of medical images, these models are most often based on the physics of the imaging system rather than the properties of the target organ or tissue. We use finite element (FE) models of regional mechanical and electrical function in the intact heart to compute three-dimensional distributions of important physiological field variables, such as myocardial stress, that cannot be imaged directly. A parametric model of the heart based on the physical properties of the organ as a material continuum provides a general and convenient way to synthesize clinical data, such as multi-dimensional images, with experimental tests, such as biomechanical and histological studies.
UR - http://www.scopus.com/inward/record.url?scp=85076757587&partnerID=8YFLogxK
U2 - 10.1117/12.209705
DO - 10.1117/12.209705
M3 - Conference article
AN - SCOPUS:85076757587
SN - 0277-786X
VL - 2433
SP - 309
EP - 317
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
T2 - Medical Imaging 1995: Physiology and Function from Multidimensional Images
Y2 - 26 February 1995 through 2 March 1995
ER -