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Eigenspace generalized sidelobe canceller combined with SNR dependent coherence factor for plane wave imaging
BACKGROUND: The eigenspace generalized sidelobe canceller (EGSC) beamformer combined with a signal-to-noise ratio (SNR) dependent coherence factor (CF) is suggested for coherent plane wave compounding (PW) imaging. Conventional CF based methods such as generalized CF and subarray CF can improve the...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6090655/ https://www.ncbi.nlm.nih.gov/pubmed/30103746 http://dx.doi.org/10.1186/s12938-018-0541-1 |
Sumario: | BACKGROUND: The eigenspace generalized sidelobe canceller (EGSC) beamformer combined with a signal-to-noise ratio (SNR) dependent coherence factor (CF) is suggested for coherent plane wave compounding (PW) imaging. Conventional CF based methods such as generalized CF and subarray CF can improve the image quality, however, they are not suitable for low SNR. On the other hand, the EGSC CF based approach can introduce improvements in image quality, however, in PW imaging is susceptible to suffer from degradation due to low SNR which leads to a poor image quality. To overcome this limitation, the SNR dependent CF method is suggested for application in such situations due to its ability to control the SNR levels. METHODS: The Field II and the Verasonics ultrasound imaging system with a L11-4v array transducer with a contrast resolution phantom were used to capture the plane wave sequences of simulation and experimental data, respectively. The performance evaluation using full width at half maximum (FWHM), contrast (CR and CNR) and the speckle statistics by using the signal to noise ratio (SNR) complemented by the Rayleigh distribution analysis was performed. In order to evaluate the performance of the [Formula: see text] (the SNR CF) beamformer, the comparison is done with particular importance to other CF-based approaches such as [Formula: see text] (the generalized CF) and, [Formula: see text] (the subarray CF) respectively. RESULTS: Taking DAS as reference, [Formula: see text] showed 30.3 and 39.5% of improvement for [Formula: see text] and [Formula: see text] , respectively, when using experimental data. The proposed method also slightly outperforms the [Formula: see text] and [Formula: see text] methods for [Formula: see text] , [Formula: see text] , and speckle statistics assessment. CONCLUSION: The [Formula: see text] is, therefore, suitable for CPWC by improving the spatial resolution and contrast while preserving the speckle pattern. |
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