Comparison of 2D vena contracta area with 3D planimetric mitral valve area in rheumatoid mitral valve disease

Gök, Gülay; Sayar, Nurten; D, Oz; Erer, Hatice Betül; Ekmekçi, Ahmet; Eren, Mehmet

doi:10.1007/s10554-019-01673-y

Cited by 2 publications

(1 citation statement)

References 14 publications

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“…Angled cross-sectional planes risk skewed distances and inaccurate geometric measurements. Conversely, 3D volume measurements allow manual positioning of the measurement plane, to ensure proper alignment and avoid skewed distances [38]. In our data, the alignment of the measurement plane was not always perpendicular to the Echo beam itself, which resulted in varying lateral resolution and thus introduced uncertainty in area measurements despite proper alignment in relation to the valve.…”

Section: Discussionmentioning

confidence: 94%

Multi-modal Phantom Experiments, mimicking Flow through the Mitral Heart Valve

Christierson,

Frieberg,

Lala

et al. 2024

Preprint

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PurposeFluid-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 FSI models, based on clinically important parameters, such as the pressure, velocity, and valve opening, with anin vitrophantom setup.MethodAnin vitrosetup was developed with a 3D-printed phantom mimicking the left heart, including a deforming mitral valve. A range of pulsatile flows was created with a computer-controlled motor-and-pump setup. Invasive catheter 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.ResultThe 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.ConclusionA multi-modal set of validation data for 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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Section: Discussionmentioning

confidence: 94%

Multi-modal Phantom Experiments, mimicking Flow through the Mitral Heart Valve

Christierson,

Frieberg,

Lala

et al. 2024

Preprint

View full text Add to dashboard Cite

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Multi-Modal in Vitro Experiments Mimicking the Flow Through a Mitral Heart Valve Phantom

Christierson,

Frieberg,

Lala

et al. 2024

Cardiovasc Eng Tech

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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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Comparison of 2D vena contracta area with 3D planimetric mitral valve area in rheumatoid mitral valve disease

Cited by 2 publications

References 14 publications

Multi-modal Phantom Experiments, mimicking Flow through the Mitral Heart Valve

Multi-modal Phantom Experiments, mimicking Flow through the Mitral Heart Valve

Multi-Modal in Vitro Experiments Mimicking the Flow Through a Mitral Heart Valve Phantom

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