Patient-specific flow simulation of the left ventricle from 4D echocardiography - feasibility and robustness evaluation

Larsson, Daniel H.; Spühler, Jeannette Hiromi; Nordenfur, Tim; Hoffmany, Johan; Colarieti-Tosti, Massimiliano; Gao, Hang; Larsson, Matilda

doi:10.1109/ultsym.2015.0233

Cited by 5 publications

(3 citation statements)

References 18 publications

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“…In combination with the pathway being based on TTE, the following work represents a novel and potentially important contribution to the field. Please note that the following paper represents a significant extension of previous published work by the same group, where preliminary studies of model robustness [25] and initial correspondence to in-vivo measurements [26] were performed.…”

Section: Introductionmentioning

confidence: 97%

Patient-Specific Left Ventricular Flow Simulations From Transthoracic Echocardiography: Robustness Evaluation and Validation Against Ultrasound Doppler and Magnetic Resonance Imaging

Larsson

Spühler

Petersson

et al. 2017

IEEE Trans. Med. Imaging

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The combination of medical imaging with computational fluid dynamics (CFD) has enabled the study of 3-D blood flow on a patient-specific level. However, with models based on gated high-resolution data, the study of transient flows, and any model implementation into routine cardiac care, is challenging. This paper presents a novel pathway for patient-specific CFD modelling of the left ventricle (LV), using 4-D transthoracic echocardiography (TTE) as input modality. To evaluate the clinical usability, two sub-studies were performed. First, a robustness evaluation was performed, where repeated models with alternating input variables were generated for six subjects and changes in simulated output quantified. Second, a validation study was carried out, where the pathway accuracy was evaluated against pulsed-wave Doppler (100 subjects), and 2-D through-plane phase-contrast magnetic resonance imaging measurements over seven intraventricular planes (6 subjects). The robustness evaluation indicated a model deviation of <12%, with highest regional and temporal deviations at apical segments and at peak systole, respectively. The validation study showed an error of <11% (velocities <10 cm/s) for all subjects, with no significant regional or temporal differences observed. With the patient-specific pathway shown to provide robust output with high accuracy, and with the pathway dependent only on 4-D TTE, the method has a high potential to be used within future clinical studies on 3-D intraventricular flow patterns. To this, future model developments in the form of e.g., anatomically accurate LV valves may further enhance the clinical value of the simulations.

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Section: Introductionmentioning

confidence: 97%

Patient-Specific Left Ventricular Flow Simulations From Transthoracic Echocardiography: Robustness Evaluation and Validation Against Ultrasound Doppler and Magnetic Resonance Imaging

Larsson

Spühler

Petersson

et al. 2017

IEEE Trans. Med. Imaging

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“…From our point of view, they should be included in all verification and validation studies considering intracardiac flow. Especially in studies based on echocardiography, a valve velocity verification is usually contained [19]- [22], as they are easily accessible via Doppler measurements. For more detailed flow comparison, PC-MRI data is required.…”

Section: Verification and Validationmentioning

confidence: 99%

“…Although verification and validation are essential steps prior to clinical translation, the availability of necessary high quality image-based flow data is limited. Echocardiography data can be used to validate valve velocities [19]- [22], but does not provide all required flow field information for indepth comparison. Phase-contrast MRI (PC-MRI), the gold standard for in vivo blood flow measurements, can provide 4D flow fields, allowing more detailed comparisons [2], [8], [21], [23], [24].…”

mentioning

confidence: 99%

Verification Study of In Silico Computed Intracardiac Blood Flow With 4D Flow MRI

Obermeier,

Wiegand,

Hellmeier

et al. 2024

IEEE Trans. Biomed. Eng.

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Objective: Major challenges for clinical applications of in silico medicine are limitations in time and computational resources. Computational approaches should therefore be tailored to specific applications with relatively low complexity and must be verified and validated against clinical gold standards. Methods: This study performed computational fluid dynamics simulations of left ventricular hemodynamics of different complexity based on shape reconstruction from steady state gradient echo magnetic resonance imaging (MRI) data. Computed flow results of a rigid wall model (RWM) and a prescribed motion fluid-structure interaction (PM-FSI) model were compared against phasecontrast MRI measurements for three healthy subjects. Results: Extracted boundary conditions from the steady state MRI sequences as well as computed metrics, such as flow rate, valve velocities, and kinetic energy show good agreement with in vivo flow measurements. Regional flow analysis reveals larger differences. Conclusion: Basic flow structures are well captured with RWM and PM-FSI. For the computation of further biomarkers like washout or flow efficiency, usage of PM-FSI is required. Regarding boundarynear flow, more accurate anatomical models are inevitable. Significance: These results delineate areas of application of both methods and lay a foundation for larger validation studies and sensitivity analysis for healthy and diseased cases, being an essential step upon clinical translations.

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FEniCS-HPC: Coupled Multiphysics in Computational Fluid Dynamics

Hoffman

Jansson

Degirmenci

et al. 2017

Lecture Notes in Computer Science

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Patient-specific flow simulation of the left ventricle from 4D echocardiography - feasibility and robustness evaluation

Cited by 5 publications

References 18 publications

Patient-Specific Left Ventricular Flow Simulations From Transthoracic Echocardiography: Robustness Evaluation and Validation Against Ultrasound Doppler and Magnetic Resonance Imaging

Patient-Specific Left Ventricular Flow Simulations From Transthoracic Echocardiography: Robustness Evaluation and Validation Against Ultrasound Doppler and Magnetic Resonance Imaging

Verification Study of In Silico Computed Intracardiac Blood Flow With 4D Flow MRI

FEniCS-HPC: Coupled Multiphysics in Computational Fluid Dynamics

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