Investigation on application of singular value decomposition filter in element domain for extraction of ultrasonic echoes from blood cells in jugular veins
Keyword(s):
Abstract The singular value decomposition (SVD) based clutter filter is commonly applied to beamformed signals for the visualization of echo signals from flowing blood cells. In this paper, the SVD-based clutter filter is applied to signals directly acquired from ultrasonic elements before beamforming to be compared with the conventional strategy by evaluating contrast and standard deviation (SD) in the filtered images. As a result, the contrast was improved from 10.7 ± 3.6 dB to 18.3 ± 4.6 dB, and the SD was slightly improved from 3.78 ± 0.69 dB to 3.07 ± 0.74 dB in measurement of a right jugular vein.
1993 ◽
Vol 140
(3)
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pp. 145
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Optimizing Image Compression Using Singular Value Decomposition Based on Structural Similarity Index
2017 ◽
Vol 7
(4)
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pp. 316
Keyword(s):
2011 ◽
Vol 37
(3)
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pp. 354-359
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