Assessment of left heart and pulmonary circulation flow dynamics by a new pulsed mock circulatory system

Tanné, David; Bertrand, Éric; Kadem, Lyes; Pîbarot, Philippe; Rieu, Régis

doi:10.1007/s00348-009-0771-x

Cited by 51 publications

(33 citation statements)

References 41 publications

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“…Four jets are present, three of them colliding head on, while the lower part of the LA remains vorticity-free. Blood coming from the RSPV (on the left side of the images) follows a trajectory tangential to the atrial wall giving rise to a net swirling motion in the atrium as observed in vivo [3] and in experimental work [17]. High vorticity is visible at the pulmonary veins roots due to their narrowed geometry.…”

Section: Les Quality Assessmentmentioning

confidence: 79%

“…In order to obtain more information about the heart hemodynamics, in vitro investigations have been performed in fully controlled experiments [15,16,17,18]. Blood patterns in heart chambers replications have been studied thanks to particle image velocimetry in healthy and abnormal configurations.…”

Section: Recent Technological Innovations In Imaging Techniques Have mentioning

confidence: 99%

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Image-based large-eddy simulation in a realistic left heart

2014

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Section: Les Quality Assessmentmentioning

confidence: 79%

Section: Recent Technological Innovations In Imaging Techniques Have mentioning

confidence: 99%

Image-based large-eddy simulation in a realistic left heart

2014

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“…The DCT-PLS was finally used to post-process PIV raw velocities measured in an in vitro left ventricle, supplied by the cardiovascular biomechanics team of the IRPHE (Institut de recherche sur les phénomènes hors équilibre, Marseilles, France) (Garcia et al 2010;Tanné et al 2010). These PIV data decipher the intraventricular velocity field during early diastole (ventricular relaxation).…”

Section: Masked Region-of-interestmentioning

confidence: 99%

A fast all-in-one method for automated post-processing of PIV data

2010

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Post-processing of PIV (particle image velocimetry) data typically contains three following stages: validation of the raw data, replacement of spurious and missing vectors, and some smoothing. A robust post-processing technique that carries out these steps simultaneously is proposed. The new all-in-one method (DCT-PLS), based on a penalized least squares approach (PLS), combines the use of the discrete cosine transform (DCT) and the generalized cross-validation, thus allowing fast unsupervised smoothing of PIV data. The DCT-PLS was compared with conventional methods, including the normalized median test, for post-processing of simulated and experimental raw PIV velocity fields. The DCT-PLS was shown to be more efficient than the usual methods, especially in the presence of clustered outliers. It was also demonstrated that the DCT-PLS can easily deal with a large amount of missing data. Because the proposed algorithm works in any dimension, the DCT-PLS is also suitable for post-processing of volumetric three-component PIV data.

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“…In vitro experiments were performed using an atrioventricular dual activation pulse duplicator (ESIL, Marseilles, France). As previously described in [129], the in vitro setup is composed of ventricular and atrial activation boxes, systemic and pulmonary circulation model and a computerized driving interface. Figure 3-8 represents an overview of the left heart model setup.…”

Section: In Vitro Analysis Based On Piv Experimentation In a Left Heamentioning

confidence: 99%