Name
Abstract | ||
|---|---|---|
A novel method, called a posteriori "VFM accuracy estimation" (VAE), for resolving an intrinsic VFM problem is proposed. The problem is that VFM uncertainty can easily vary according to blood flows through an echocardiographic imaged plane (i.e., "through-plane" flows), and it is unknown. Knowing the VFM uncertainty for each patient will make it possible to refine the quality of VFM-based diagnosis. In the present study, VAE was derived on the basis of an error-propagation analysis and a statistical analysis. The accuracy of VAE with a pulsatile left-ventricle phantom was experimentally investigated for realistic cases with through-plane flows. VAE was validated by comparing VFM uncertainty (S.D.) estimated by VAE with VFM uncertainty measured by particle-image velocimetry (PIV) for different imaged planes. VAE accurately estimated the S.D. of VFM uncertainty measured by PIV for all cases with different image planes (R > 0.6 and p < 0.001). These findings on VFM accuracy will provide the basis for widespread clinical application of VFM-based diagnosis. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/s12650-016-0413-3 | J. Visualization |
Keywords | Field | DocType |
Doppler ultrasound,Ultrasonics,Flow imaging,Cardio-hemodynamics,Vector-flow mapping | Ultrasonic sensor,Computer vision,A priori and a posteriori,Doppler ultrasound,Vector flow,Artificial intelligence,Acoustics,Physics | Journal |
Volume | Issue | ISSN |
20 | 3 | 1343-8875 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tomohiko Tanaka | 1 | 0 | 0.34 |
| Rei Asami | 2 | 0 | 0.34 |
| Ken-Ichi Kawabata | 3 | 0 | 0.34 |
| Kunio Hashiba | 4 | 0 | 0.34 |
| Takashi Okada | 5 | 0 | 1.01 |
| Tomohide Nishiyama | 6 | 0 | 0.34 |