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High-speed Particle Image Velocimetry Near Surfaces
Published on: June 24, 2013
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A posteriori accuracy estimation of ultrasonic vector-flow mapping (VFM)
Tomohiko Tanaka1, Rei Asami1, Ken-Ichi Kawabata1
1Research and Development Group, Hitachi, Ltd., 1-280 Higashi-Koigakubo, Kokubunji, Tokyo Japan.
Journal of Visualization
|August 11, 2017
Summary
A new method, VFM accuracy estimation (VAE), addresses unknown VFM uncertainty in echocardiography. VAE accurately predicts VFM uncertainty, improving VFM-based diagnosis quality.
Area of Science:
- Medical Imaging
- Fluid Dynamics
- Biomedical Engineering
Background:
- Ventricular flow measurement (VFM) uncertainty varies with through-plane blood flows.
- This uncertainty is currently unknown, limiting the refinement of VFM-based diagnoses.
Purpose of the Study:
- To introduce a novel a posteriori VFM accuracy estimation (VAE) method.
- To resolve the intrinsic problem of unknown VFM uncertainty in echocardiographic imaging.
Main Methods:
- Developed VAE based on error-propagation and statistical analyses.
- Experimentally validated VAE using a pulsatile left-ventricle phantom with through-plane flows.
- Compared VAE-estimated VFM uncertainty (S.D.) with particle-image velocimetry (PIV) measurements.
Main Results:
- VAE accurately estimated VFM uncertainty (S.D.) across different imaging planes.
- High correlation found between VAE estimates and PIV measurements (R > 0.6, p < 0.001).
Conclusions:
- VAE provides a reliable method for quantifying VFM uncertainty.
- Findings support the widespread clinical application of VFM-based diagnostic tools.
