Minimum Variance Combined With Modified Delay Multiply-and-Sum Beamforming for Plane-Wave Compounding
| Autor: | Babak Mohammadzadeh Asl, Mahsa Sotoodeh Ziksari |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Beamforming
Acoustics and Ultrasonics Image quality Computer science 01 natural sciences Data set Reduction (complexity) Minimum-variance unbiased estimator Compounding 0103 physical sciences Electrical and Electronic Engineering 010301 acoustics Instrumentation Image resolution Adaptive beamformer Algorithm |
| Zdroj: | IEEE transactions on ultrasonics, ferroelectrics, and frequency control. 68(5) |
| ISSN: | 1525-8955 |
| Popis: | Plane-wave compounding is an active topic of research in ultrasound imaging because it is a promising technique for ultrafast ultrasound imaging. Unfortunately, due to the data-independent nature of the traditional compounding method, it imposes a fundamental limit on image quality. To address this issue, adaptive beamformers have been implemented in the compounding procedure. In this article, a new adaptive beamformer for the 2-D data set obtained from multiple plane-wave transmissions is investigated. In the proposed scheme, the minimum variance (MV) weights are applied to the backscattered echoes. Then, the final image is obtained by employing a modified version of the delay multiply-and-sum (DMAS) beamformer in the coherent compounding. The results demonstrate that the presented MV-DMAS scheme outperforms the conventional coherent compounding in both terms of resolution and contrast. It also offers improvements over the 2-D-DMAS and some MV-based methods presented in the literature, such that it achieves at least 20.9% enhancement in sidelobe reduction compared with the best result of MV-based methods. Also, by the proposed method, the in vivo study shows an improved generalized contrast-to-noise ratio (GCNR) that implies a higher probability of lesion detection. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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