Color-Doppler Echocardiography Flow Field Velocity Reconstruction Using a Streamfunction -Vorticity Formulation

TL;DR

This paper introduces DoVeR, a novel method for reconstructing cardiac flow velocity fields from color Doppler scans using a streamfunction-vorticity approach, demonstrating improved robustness and accuracy over existing methods.

Contribution

The paper presents a new streamfunction-vorticity based reconstruction method, DoVeR, which outperforms traditional techniques in accuracy and noise robustness for cardiac flow analysis.

Findings

DoVeR shows lower noise RMS errors (3.81%-6.67%) compared to iVFM methods.

DoVeR provides more hemodynamically accurate flow reconstructions in vivo.

The method is more robust to noise and probe placement variations.

Abstract

We introduce a new method, (Doppler Velocity Reconstruction or DoVeR), for reconstructing two-component velocity fields from color Doppler scans. DoVeR employs the streamfunction-vorticity equation, which satisfies mass conservation while accurately approximating the flow rate of rotation. We validated DoVeR using artificial color Doppler images generated from computational fluid dynamics models of left ventricle (LV) flow. We compare DoVeR against the conventional intraventricular Vector Flow Mapping (iVFM1D) and reformulated iVFM (iVFM2D). LV model error analysis showed DoVeR is more robust to noise and probe placement, with noise RMS errors (nRMSE) between 3.81%-6.67%, while the iVFM methods delivered 4.16%-24.17% for iVFM1D and 4.06%-400.21% for iVFM2D. We test the DoVeR and iVFM methods using in-vivo mouse-LV ultrasound scans. DoVeR yielded more hemodynamically accurate reconstructions, suggesting that it can provide a more reliable approach for robust quantification of cardiac flow.