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15 February 2021 Using ADMIRE to improve minimum variance performance in the presence of reverberation clutter
Siegfried Schlunk, Brett Byram
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Proceedings Volume 11602, Medical Imaging 2021: Ultrasonic Imaging and Tomography; 116020Q (2021) https://doi.org/10.1117/12.2583314
Event: SPIE Medical Imaging, 2021, Online Only
Abstract
Reverberation clutter is a difficult source of image degradation in patients, and minimum variance (MV) in particular is poorly equipped to handle such sources, as we demonstrate here. We propose that a pre-processing step such as ADMIRE should be implemented in cases with high reverberation clutter when we still want to be able to implement MV to realize improvements in lateral resolution. The ADMIRE, or aperture domain model image reconstruction, method is specifically designed to suppress or eliminate reverberant and off-axis sources of clutter while returning the decluttered channel data with its original dimensionality, allowing us to sequentially process the data with MV. We show that in simulated data this combined method results in clear improvements to image quality, contrast ratio, and target boundary thickness compared to DAS and MV alone. In in vivo cases, contrast ratio and general image quality are improved, and boundary thickness is generally on par with DAS and MV.
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Siegfried Schlunk and Brett Byram "Using ADMIRE to improve minimum variance performance in the presence of reverberation clutter", Proc. SPIE 11602, Medical Imaging 2021: Ultrasonic Imaging and Tomography, 116020Q (15 February 2021); https://doi.org/10.1117/12.2583314
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KEYWORDS
Image processing
Image quality
Image restoration
Phased arrays
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