Multi-Modal in Vitro Experiments Mimicking the Flow Through a Mitral Heart Valve Phantom
(2024) In Cardiovascular Engineering and Technology- Abstract
Purpose: Fluid-structure interaction (FSI) models are more commonly applied in medical research as computational power is increasing. However, understanding the accuracy of FSI models is crucial, especially in the context of heart valve disease in patient-specific models. Therefore, this study aimed to create a multi-modal benchmarking data set for cardiac-inspired FSI models, based on clinically important parameters, such as the pressure, velocity, and valve opening, with an in vitro phantom setup. Method: An in vitro setup was developed with a 3D-printed phantom mimicking the left heart, including a deforming mitral valve. A range of pulsatile flows were created with a computer-controlled motor-and-pump setup. Catheter pressure... (More)
Purpose: Fluid-structure interaction (FSI) models are more commonly applied in medical research as computational power is increasing. However, understanding the accuracy of FSI models is crucial, especially in the context of heart valve disease in patient-specific models. Therefore, this study aimed to create a multi-modal benchmarking data set for cardiac-inspired FSI models, based on clinically important parameters, such as the pressure, velocity, and valve opening, with an in vitro phantom setup. Method: An in vitro setup was developed with a 3D-printed phantom mimicking the left heart, including a deforming mitral valve. A range of pulsatile flows were created with a computer-controlled motor-and-pump setup. Catheter pressure measurements, magnetic resonance imaging (MRI), and echocardiography (Echo) imaging were used to measure pressure and velocity in the domain. Furthermore, the valve opening was quantified based on cine MRI and Echo images. Result: The experimental setup, with 0.5% cycle-to-cycle variation, was successfully built and six different flow cases were investigated. Higher velocity through the mitral valve was observed for increased cardiac output. The pressure difference across the valve also followed this trend. The flow in the phantom was qualitatively assessed by the velocity profile in the ventricle and by streamlines obtained from 4D phase-contrast MRI. Conclusion: A multi-modal set of data for validation of FSI models has been created, based on parameters relevant for diagnosis of heart valve disease. All data is publicly available for future development of computational heart valve models.
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- author
- Christierson, Lea LU ; Frieberg, Petter LU ; Lala, Tania LU ; Töger, Johannes LU ; Liuba, Petru LU ; Revstedt, Johan LU ; Isaksson, Hanna LU and Hakacova, Nina LU
- organization
-
- Children cardiology (research group)
- Department of Biomedical Engineering
- LTH Profile Area: Engineering Health
- Clinical Physiology (Lund)
- Lund Cardiac MR Group (research group)
- eSSENCE: The e-Science Collaboration
- MR Physics (research group)
- Paediatrics (Lund)
- LUCC: Lund University Cancer Centre
- Fluid Mechanics
- LTH Profile Area: The Energy Transition
- NanoLund: Centre for Nanoscience
- LTH Profile Area: Nanoscience and Semiconductor Technology
- LU Profile Area: Proactive Ageing
- LU Profile Area: Light and Materials
- publishing date
- 2024
- type
- Contribution to journal
- publication status
- epub
- subject
- keywords
- Catheter measurements, Echocardiography, In vitro heart valve model, Magnetic resonance imaging, Phantom
- in
- Cardiovascular Engineering and Technology
- publisher
- Springer
- external identifiers
-
- pmid:38782878
- scopus:85193985081
- ISSN
- 1869-408X
- DOI
- 10.1007/s13239-024-00732-3
- language
- English
- LU publication?
- yes
- id
- 324f3aa2-ff13-4c92-9018-bfc820ad3449
- date added to LUP
- 2024-06-18 15:45:01
- date last changed
- 2024-06-19 03:00:06
@article{324f3aa2-ff13-4c92-9018-bfc820ad3449, abstract = {{<p>Purpose: Fluid-structure interaction (FSI) models are more commonly applied in medical research as computational power is increasing. However, understanding the accuracy of FSI models is crucial, especially in the context of heart valve disease in patient-specific models. Therefore, this study aimed to create a multi-modal benchmarking data set for cardiac-inspired FSI models, based on clinically important parameters, such as the pressure, velocity, and valve opening, with an in vitro phantom setup. Method: An in vitro setup was developed with a 3D-printed phantom mimicking the left heart, including a deforming mitral valve. A range of pulsatile flows were created with a computer-controlled motor-and-pump setup. Catheter pressure measurements, magnetic resonance imaging (MRI), and echocardiography (Echo) imaging were used to measure pressure and velocity in the domain. Furthermore, the valve opening was quantified based on cine MRI and Echo images. Result: The experimental setup, with 0.5% cycle-to-cycle variation, was successfully built and six different flow cases were investigated. Higher velocity through the mitral valve was observed for increased cardiac output. The pressure difference across the valve also followed this trend. The flow in the phantom was qualitatively assessed by the velocity profile in the ventricle and by streamlines obtained from 4D phase-contrast MRI. Conclusion: A multi-modal set of data for validation of FSI models has been created, based on parameters relevant for diagnosis of heart valve disease. All data is publicly available for future development of computational heart valve models.</p>}}, author = {{Christierson, Lea and Frieberg, Petter and Lala, Tania and Töger, Johannes and Liuba, Petru and Revstedt, Johan and Isaksson, Hanna and Hakacova, Nina}}, issn = {{1869-408X}}, keywords = {{Catheter measurements; Echocardiography; In vitro heart valve model; Magnetic resonance imaging; Phantom}}, language = {{eng}}, publisher = {{Springer}}, series = {{Cardiovascular Engineering and Technology}}, title = {{Multi-Modal in Vitro Experiments Mimicking the Flow Through a Mitral Heart Valve Phantom}}, url = {{http://dx.doi.org/10.1007/s13239-024-00732-3}}, doi = {{10.1007/s13239-024-00732-3}}, year = {{2024}}, }