1
|
Crozier A, Augustin CM, Neic A, Prassl AJ, Holler M, Fastl TE, Hennemuth A, Bredies K, Kuehne T, Bishop MJ, Niederer SA, Plank G. Image-Based Personalization of Cardiac Anatomy for Coupled Electromechanical Modeling. Ann Biomed Eng 2016. [PMID: 26424476 DOI: 10.1007/sl0439-015-1474-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
Computational models of cardiac electromechanics (EM) are increasingly being applied to clinical problems, with patient-specific models being generated from high fidelity imaging and used to simulate patient physiology, pathophysiology and response to treatment. Current structured meshes are limited in their ability to fully represent the detailed anatomical data available from clinical images and capture complex and varied anatomy with limited geometric accuracy. In this paper, we review the state of the art in image-based personalization of cardiac anatomy for biophysically detailed, strongly coupled EM modeling, and present our own tools for the automatic building of anatomically and structurally accurate patient-specific models. Our method relies on using high resolution unstructured meshes for discretizing both physics, electrophysiology and mechanics, in combination with efficient, strongly scalable solvers necessary to deal with the computational load imposed by the large number of degrees of freedom of these meshes. These tools permit automated anatomical model generation and strongly coupled EM simulations at an unprecedented level of anatomical and biophysical detail.
Collapse
Affiliation(s)
- A Crozier
- Institute of Biophysics, Medical University of Graz, Harrachgasse 21/IV, 8010, Graz, Austria
| | - C M Augustin
- Institute of Biophysics, Medical University of Graz, Harrachgasse 21/IV, 8010, Graz, Austria
| | - A Neic
- Institute of Biophysics, Medical University of Graz, Harrachgasse 21/IV, 8010, Graz, Austria
| | - A J Prassl
- Institute of Biophysics, Medical University of Graz, Harrachgasse 21/IV, 8010, Graz, Austria
| | - M Holler
- Institute for Mathematics and Scientific Computing, University of Graz, Graz, Austria
| | - T E Fastl
- Department of Biomedical Engineering, King's College London, London, United Kingdom
| | - A Hennemuth
- Modeling and Simulation Group, Fraunhofer MEVIS, Bremen, Germany
| | - K Bredies
- Institute for Mathematics and Scientific Computing, University of Graz, Graz, Austria
| | - T Kuehne
- Non-Invasive Cardiac Imaging in Congenital Heart Disease Unit, Charité-Universitätsmedizin, Berlin, Germany
- German Heart Institute, Berlin, Germany
| | - M J Bishop
- Department of Biomedical Engineering, King's College London, London, United Kingdom
| | - S A Niederer
- Department of Biomedical Engineering, King's College London, London, United Kingdom
| | - G Plank
- Institute of Biophysics, Medical University of Graz, Harrachgasse 21/IV, 8010, Graz, Austria.
| |
Collapse
|
2
|
Crozier A, Augustin CM, Neic A, Prassl AJ, Holler M, Fastl TE, Hennemuth A, Bredies K, Kuehne T, Bishop MJ, Niederer SA, Plank G. Image-Based Personalization of Cardiac Anatomy for Coupled Electromechanical Modeling. Ann Biomed Eng 2015; 44:58-70. [PMID: 26424476 PMCID: PMC4690840 DOI: 10.1007/s10439-015-1474-5] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2015] [Accepted: 09/24/2015] [Indexed: 11/26/2022]
Abstract
Computational models of cardiac electromechanics (EM) are increasingly being applied to clinical problems, with patient-specific models being generated from high fidelity imaging and used to simulate patient physiology, pathophysiology and response to treatment. Current structured meshes are limited in their ability to fully represent the detailed anatomical data available from clinical images and capture complex and varied anatomy with limited geometric accuracy. In this paper, we review the state of the art in image-based personalization of cardiac anatomy for biophysically detailed, strongly coupled EM modeling, and present our own tools for the automatic building of anatomically and structurally accurate patient-specific models. Our method relies on using high resolution unstructured meshes for discretizing both physics, electrophysiology and mechanics, in combination with efficient, strongly scalable solvers necessary to deal with the computational load imposed by the large number of degrees of freedom of these meshes. These tools permit automated anatomical model generation and strongly coupled EM simulations at an unprecedented level of anatomical and biophysical detail.
Collapse
Affiliation(s)
- A Crozier
- Institute of Biophysics, Medical University of Graz, Harrachgasse 21/IV, 8010, Graz, Austria
| | - C M Augustin
- Institute of Biophysics, Medical University of Graz, Harrachgasse 21/IV, 8010, Graz, Austria
| | - A Neic
- Institute of Biophysics, Medical University of Graz, Harrachgasse 21/IV, 8010, Graz, Austria
| | - A J Prassl
- Institute of Biophysics, Medical University of Graz, Harrachgasse 21/IV, 8010, Graz, Austria
| | - M Holler
- Institute for Mathematics and Scientific Computing, University of Graz, Graz, Austria
| | - T E Fastl
- Department of Biomedical Engineering, King's College London, London, United Kingdom
| | - A Hennemuth
- Modeling and Simulation Group, Fraunhofer MEVIS, Bremen, Germany
| | - K Bredies
- Institute for Mathematics and Scientific Computing, University of Graz, Graz, Austria
| | - T Kuehne
- Non-Invasive Cardiac Imaging in Congenital Heart Disease Unit, Charité-Universitätsmedizin, Berlin, Germany
- German Heart Institute, Berlin, Germany
| | - M J Bishop
- Department of Biomedical Engineering, King's College London, London, United Kingdom
| | - S A Niederer
- Department of Biomedical Engineering, King's College London, London, United Kingdom
| | - G Plank
- Institute of Biophysics, Medical University of Graz, Harrachgasse 21/IV, 8010, Graz, Austria.
| |
Collapse
|