vector flow mapping
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Author(s):  
Florian Vixege ◽  
Alain Berod ◽  
Yunyun Sun ◽  
Simon Mendez ◽  
Olivier Bernard ◽  
...  

Abstract Color Doppler by transthoracic echocardiography creates two-dimensional fan-shaped maps of blood velocities in the cardiac cavities. It is a one-component velocimetric technique since it only returns the velocity components parallel to the ultrasound beams. Intraventricular vector flow mapping (iVFM) is a method to recover the blood velocity vectors from the Doppler scalar fields in an echocardiographic three-chamber view. We improved our iVFM numerical scheme by imposing physical constraints. The iVFM consisted in minimizing regularized Doppler residuals subject to the condition that two fluid-dynamics constraints were satisfied, namely planar mass conservation, and free-slip boundary conditions. The optimization problem was solved by using the Lagrange multiplier method. A finite-difference discretization of the optimization problem, written in the polar coordinate system centered on the cardiac ultrasound probe, led to a sparse linear system. The single regularization parameter was determined automatically for non-supervision considerations. The physics-constrained method was validated using realistic intracardiac flow data from a patient-specific CFD (computational fluid dynamics) model. The numerical evaluations showed that the iVFM-derived velocity vectors were in very good agreement with the CFD-based original velocities, with relative errors ranged between 0.3 and 12%. We calculated two macroscopic measures of flow in the cardiac region of interest, the mean vorticity and mean stream function, and observed an excellent concordance between physics-constrained iVFM and CFD. The capability of physics-constrained iVFM was finally tested with in vivo color Doppler data acquired in patients routinely examined in the echocardiographic laboratory. The vortex that forms during the rapid filling was deciphered. The physics-constrained iVFM algorithm is ready for pilot clinical studies and is expected to have a significant clinical impact on the assessment of diastolic function.


2021 ◽  
Author(s):  
Li-ping Dong ◽  
Zhen-zhen Wang ◽  
Hai-ru Li ◽  
Wei-dong Yu ◽  
jiawei tian

Abstract Objective To observe the diastolic wall shear stress (WSS) pattern of the left ventricle (LV) by using vector flow mapping (VFM) in normal subjects. Methods A total of 371 healthy volunteers were recruited into this study and divided into four age groups. The LV WSS was measured at each diastolic phase, and the mapping of WSS was analyzed. Results Among groups I, II and III, The absolute value of WSS of Anterolateral,Inferoseptal and Anterospetal segments in phase D1;WSS values of inferolateral,Inferoseptal and Anterospetal segments in phase D4 all showed an increasing trend with age. In terms of gender differences, In most cases,women had greater diastolic WSS values compared to men. For each age group, the log-transformed WSS value appeared the increasing-decreasing-increasing trend from phase D1 to D4, with a peak value at the rapid filling phase.Multivariate backward stepwise linear regression analysis revealed that the certain segments log-transformed WSS was independently related to conventional parameters in evaluating diastolic function(mitral lateral E/e', septal E/e', mitral lateral e', septal e' and LAVI).Conclusions In diastolic period, segmental LV WSS shows a regular variation phenomenon and has specific age- and gender-related patterns in different diastolic phases. The mapping of WSS may help identify the diastolic hemodynamic changes or diastolic function phase by phase.


Author(s):  
Martina Avesani ◽  
Alexandre Silini ◽  
Estibaliz Valdeolmillos ◽  
Zakaria Jalal ◽  
Jean-Benoit Thambo ◽  
...  

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
S Ido ◽  
K Masuda ◽  
S Yoshimura ◽  
H Tanaka ◽  
M Stugaard

Abstract Background Early diastolic intraventricular pressure difference (IVPD) reflects left ventricular (LV) apical suction, and IVPD is closely related to cardiac function, especially LV twist. Vector Flow Mapping (VFM) allows visualization of regional pressure distribution and noninvasive quantification of IVPD. The purpose of the present study was to investigate if and how IVPDs are related to LV twist in a model of acute heart failure (HF). Methods In 15 open-chest dogs, HF was induced by intracoronary injection of microspheres. The HF model was classified into two groups based on the LV end-diastolic pressure (LVEDP) (group1: LVEDP<18 mmHg (n=10), group2: LVEDP≥18 mmHg (n=8)). Color Doppler images from apical long-axis views were acquired at baseline and during HF. From these images, pressure differences (ΔP) were calculated along the LV inflow tract throughout the cardiac cycle. For the purpose of this study, the differences between apex and base during isovolumic relaxation time (ΔPIRT) and rapid early inflow period (ΔPE) were used for analyses. Furthermore, apical and basal short axis high frame rate 2D images were acquired, and peak rotation and peak twist were analyzed. Results LVEDP was 7±9, 14±2, 21±3 mmHg for baseline, group1 HF, and group2 HF, respectively. Pressure differences (both ΔPIRT and ΔPE) were visibly changed by the increase of LVEDP (Figure), and the magnitude of ΔPIRT, ΔPE and peak twist decreased significantly with the severity of heart failure. There were significant relationships between pressure differences (ΔPIRT and ΔPE) and dP/dtmin, tau, EF and peak twist (Table). In multivariate analyses, tau and peak twist were independent predictors for ΔPIRT and peak twist was independent predictor for ΔPE. Conclusion VFM analysis is feasible to noninvasively assess the IVPDs in acute heart failure. The IVPDs are closely related to the twisting motion of the LV, and reflect loss of apical suction during severe HF. FUNDunding Acknowledgement Type of funding sources: None. VFM images of pressure differences Correlations of pressure differences


2021 ◽  
Author(s):  
Yang Wu ◽  
Bo Peng ◽  
Yaru Luo ◽  
Shenghua Xie ◽  
Jingfeng Jiang

2021 ◽  
Vol Volume 14 ◽  
pp. 4793-4801
Author(s):  
Xiaowen Zuo ◽  
Manli Yuan ◽  
Huaping Jia ◽  
Mingming Zhang ◽  
Can Zhang ◽  
...  

2021 ◽  
Author(s):  
Martina Avesani ◽  
Bastien Degrelle ◽  
Giovanni Di Salvo ◽  
Jean‐Benoit Thambo ◽  
Xavier Iriart

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