Optimization of 3-D Divergence-Free Flow Field Reconstruction Using 2-D Ultrasound Vector Flow Imaging
File(s)
Author(s)
Zhou, Xinhuan
Vincent, Peter
Zhou, Xiaowei
Leow, Chee Hau
Tang, Meng-Xing
Type
Journal Article
Abstract
Abstract- 3D blood Vector Flow Imaging (VFI) is of great value for understanding and detecting cardiovascular diseases. Currently 3D Ultrasound (US) VFI requires 2D matrix probes which are expensive and suffer from sub-optimal image quality. Our recent study proposed an interpolation algorithm to obtain a divergence free reconstruction of the 3D flow field from 2D velocities obtained by High Frame Rate US Particle Imaging Velocimetry (HFR echo-PIV, also known as HFR UIV), using a 1D array transducer. This work aims to significantly improve the accuracy and reduce the time-to-solution of our previous approach thereby paving the way for clinical translation. More specifically, accuracy was improved by optimising the divergence free basis to reduce Runge-phenomena near domain boundaries, and time-to-solution was reduced by demonstrating that under certain conditions the resulting system could be solved using widely available and highly optimized Generalized Minimum Residual (GMRES) algorithms. To initially demonstrate the utility of the approach, coarse 2D sub-samplings of an analytical unsteady Womersely flow solution and a steady helical flow solution obtained using Computational Fluid Dynamics (CFD) were used to successfully reconstruct full flow solutions, with 0.82% and 4.8% average relative errors in the velocity field respectively. Subsequently, multi-plane 2D velocity fields were obtained through HFR UIV for a straight tube phantom and a carotid bifurcation phantom, from which full 3D flow fields were reconstructed. These were then compared with flow fields obtained via CFD in each of the two configurations, and average relative errors of 6.01% and 12.8% in the velocity field were obtained. These results reflect 15%-75% improvements in accuracy and 53~874 fold acceleration of reconstruction speeds for the four cases, when compared with the previous divergence free flow reconstruction method. In conclusion the proposed method provides an effective and fast method to reconstruct 3D flow in arteries using a 1D array transducer.
Date Issued
2019-11
Date Acceptance
2019-06-09
Citation
Ultrasound in Medicine and Biology, 2019, 45 (11), pp.3042-3055
ISSN
0301-5629
Publisher
Elsevier
Start Page
3042
End Page
3055
Journal / Book Title
Ultrasound in Medicine and Biology
Volume
45
Issue
11
Copyright Statement
©2019 World Federation for Ultrasound in Medicine & Biology. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Subjects
Science & Technology
Technology
Life Sciences & Biomedicine
Acoustics
Radiology, Nuclear Medicine & Medical Imaging
Divergence-free flow reconstruction optimization
3-D ultrasound vector flow imaging
1-D array transducer
HUMAN CAROTID BIFURCATION
RADIAL BASIS FUNCTIONS
BLOOD-FLOW
WALL SHEAR
TRANSVERSE OSCILLATION
SHAPE-PARAMETERS
RUNGE PHENOMENON
IN-VIVO
VELOCITY
ANGLE
1-D array transducer
3-D ultrasound vector flow imaging
Divergence-free flow reconstruction optimization
Acoustics
1103 Clinical Sciences
Publication Status
Published
Date Publish Online
2019-08-02