Eigenspace-based minimum variance beamformer combined with Wiener postfilter for medical ultrasound imaging |
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| Authors: | Xing Zeng Cheng Chen Yuanyuan Wang |
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| Institution: | 1. Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA;2. Department of Computer Science, Johns Hopkins University, Baltimore, Maryland, USA;3. Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, North Caroloina, USA;4. Department of Radiology, Duke University Medical Center, Durham, North Carolina, USA;1. Department of Electronic Engineering, Fudan University, Shanghai, China;2. Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention of Shanghai, Fudan University, Shanghai, China;1. Dipartimento di Ingegneria Industriale e dell’Informazione, Università degli Studi di Pavia, Pavia, Italy;2. Dipartimento di Ingegneria, Università degli Studi Roma Tre, Rome, Italy;1. Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan;2. S-Sharp Corporation, New Taipei, Taiwan |
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| Abstract: | In this paper, a new beamformer which combines the eigenspace-based minimum variance (ESBMV) beamformer with the Wiener postfilter is proposed for medical ultrasound imaging. The primary goal of this work is to further improve the medical ultrasound imaging quality on the basis of the ESBMV beamformer. In this method, we optimize the ESBMV weights with a Wiener postfilter. With the optimization of the Wiener postfilter, the output power of the new beamformer becomes closer to the actual signal power at the imaging point than the ESBMV beamformer. Different from the ordinary Wiener postfilter, the output signal and noise power needed in calculating the Wiener postfilter are estimated respectively by the orthogonal signal subspace and noise subspace constructed from the eigenstructure of the sample covariance matrix.We demonstrate the performance of the new beamformer when resolving point scatterers and cyst phantom using both simulated data and experimental data and compare it with the delay-and-sum (DAS), the minimum variance (MV) and the ESBMV beamformer. We use the full width at half maximum (FWHM) and the peak-side-lobe level (PSL) to quantify the performance of imaging resolution and the contrast ratio (CR) to quantify the performance of imaging contrast. The FWHM of the new beamformer is only 15%, 50% and 50% of those of the DAS, MV and ESBMV beamformer, while the PSL is 127.2 dB, 115 dB and 60 dB lower. What is more, an improvement of 239.8%, 232.5% and 32.9% in CR using simulated data and an improvement of 814%, 1410.7% and 86.7% in CR using experimental data are achieved compared to the DAS, MV and ESBMV beamformer respectively. In addition, the effect of the sound speed error is investigated by artificially overestimating the speed used in calculating the propagation delay and the results show that the new beamformer provides better robustness against the sound speed errors. Therefore, the proposed beamformer offers a better performance than the DAS, MV and ESBMV beamformer, showing its potential in medical ultrasound imaging. |
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