FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3040257480> ?p ?o ?g. }

• W3040257480 endingPage "2377" @default.
• W3040257480 startingPage "2363" @default.
• W3040257480 abstract "The mechanical properties of soft tissues can be quantitatively characterized through the estimation of shear wave velocity (SWV) using various motion estimation methods, such as the commonly used block matching (BM) methods. However, such methods suffer from slow computational speed and many tunable parameters. In order to solve these problems, Butterworth filter-based clutter filter wave imaging (BW-CFWI) is recently proposed to detect the mechanical wave propagation by highlighting the tissue velocity induced by mechanical wave, without using any motion estimation methods. In this study, in order to improve the SWV estimation performance of the clutter filter wave imaging (CFWI) method, we propose singular value decomposition (SVD)-based clutter filter for CFWI (SVD-CFWI) and further accelerate it using a randomized SVD (rSVD)-based clutter filter (rSVD-CFWI). Homogeneous phantoms with different Young’s moduli are used to investigate the influences of the cutoff order of singular value and iteration time on the performance of SWV estimation. An elasticity phantom with stepped cylindrical inclusions is tested for comparison of rSVD-CFWI, SVD-CFWI, BW-CFWI, and normalized cross-correlation (NCC)-based BM (NCC-BM). The performances of the proposed methods are also evaluated on data acquired from the bicipital muscle in vivo . The results of phantom experiments show that rSVD-CFWI and SVD-CFWI reconstruct SWV maps with improved shape of the inclusions. For the softest inclusion with a diameter of 10.40 mm, the contrast-to-noise ratios (CNRs) between the inclusions and background obtained with rSVD-CFWI (3.78 dB) and SVD-CFWI (3.71 dB) are higher than those obtained with BW-CFWI (0.55 dB) and NCC-BM (0.70 dB). For the stiffest inclusion with a diameter of 10.40 mm, higher CNRs are also achieved by rSVD-CFWI (5.68 dB) and SVD-CFWI (5.07 dB) than by BW-CFWI (2.92 dB) and NCC-BM (2.36 dB). In the in-vivo experiments, more homogeneous SWV maps and smaller standard deviations of SWVs are obtained with rSVD-CFWI and SVD-CFWI than with BW-CFWI and NCC-BM. Besides, RSVD-CFWI has lower computational complexity than SVD-CFWI and NCC-BM and has lower memory space requirement than SVD-CFWI. The computational speed of rSVD-CFWI is comparable to that of BW-CFWI and over 10 times higher than that of SVD-CFWI. Therefore, RSVD-CFWI is demonstrated to be a competitive tool for fast shear wave imaging." @default.
• W3040257480 created "2020-07-10" @default.
• W3040257480 creator A5065418938 @default.
• W3040257480 creator A5084231233 @default.
• W3040257480 creator A5087345726 @default.
• W3040257480 date "2020-11-01" @default.
• W3040257480 modified "2023-10-16" @default.
• W3040257480 title "Fast Randomized Singular Value Decomposition-Based Clutter Filtering for Shear Wave Imaging" @default.
• W3040257480 cites W1964256688 @default.
• W3040257480 cites W1967134712 @default.
• W3040257480 cites W1968691112 @default.
• W3040257480 cites W1979203513 @default.
• W3040257480 cites W1996384055 @default.
• W3040257480 cites W2007752234 @default.
• W3040257480 cites W2030432199 @default.
• W3040257480 cites W2031434003 @default.
• W3040257480 cites W2044310882 @default.
• W3040257480 cites W2047891860 @default.
• W3040257480 cites W2047941698 @default.
• W3040257480 cites W2059612594 @default.
• W3040257480 cites W2061510103 @default.
• W3040257480 cites W2061722086 @default.
• W3040257480 cites W2070712157 @default.
• W3040257480 cites W2072937413 @default.
• W3040257480 cites W2075422831 @default.
• W3040257480 cites W2099195412 @default.
• W3040257480 cites W2099826407 @default.
• W3040257480 cites W2100194764 @default.
• W3040257480 cites W2100297013 @default.
• W3040257480 cites W2100911994 @default.
• W3040257480 cites W2111793718 @default.
• W3040257480 cites W2112133871 @default.
• W3040257480 cites W2117756735 @default.
• W3040257480 cites W2117847311 @default.
• W3040257480 cites W2137019088 @default.
• W3040257480 cites W2138312203 @default.
• W3040257480 cites W2142526839 @default.
• W3040257480 cites W2144645456 @default.
• W3040257480 cites W2149275333 @default.
• W3040257480 cites W2150815979 @default.
• W3040257480 cites W2153608106 @default.
• W3040257480 cites W2161953947 @default.
• W3040257480 cites W2166793304 @default.
• W3040257480 cites W2172039249 @default.
• W3040257480 cites W2191902904 @default.
• W3040257480 cites W2203184171 @default.
• W3040257480 cites W2289397264 @default.
• W3040257480 cites W2470067388 @default.
• W3040257480 cites W2472811383 @default.
• W3040257480 cites W2512639889 @default.
• W3040257480 cites W2571767353 @default.
• W3040257480 cites W2587729904 @default.
• W3040257480 cites W2606968795 @default.
• W3040257480 cites W2765253664 @default.
• W3040257480 cites W2793842820 @default.
• W3040257480 cites W2896168767 @default.
• W3040257480 cites W2904559353 @default.
• W3040257480 cites W2951466450 @default.
• W3040257480 doi "https://doi.org/10.1109/tuffc.2020.3005426" @default.
• W3040257480 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32746194" @default.
• W3040257480 hasPublicationYear "2020" @default.
• W3040257480 type Work @default.
• W3040257480 sameAs 3040257480 @default.
• W3040257480 citedByCount "3" @default.
• W3040257480 countsByYear W30402574802021 @default.
• W3040257480 countsByYear W30402574802023 @default.
• W3040257480 crossrefType "journal-article" @default.
• W3040257480 hasAuthorship W3040257480A5065418938 @default.
• W3040257480 hasAuthorship W3040257480A5084231233 @default.
• W3040257480 hasAuthorship W3040257480A5087345726 @default.
• W3040257480 hasConcept C121332964 @default.
• W3040257480 hasConcept C132094186 @default.
• W3040257480 hasConcept C154945302 @default.
• W3040257480 hasConcept C159985019 @default.
• W3040257480 hasConcept C192562407 @default.
• W3040257480 hasConcept C22789450 @default.
• W3040257480 hasConcept C24890656 @default.
• W3040257480 hasConcept C41008148 @default.
• W3040257480 hasConcept C554190296 @default.
• W3040257480 hasConcept C76155785 @default.
• W3040257480 hasConcept C96035792 @default.
• W3040257480 hasConceptScore W3040257480C121332964 @default.
• W3040257480 hasConceptScore W3040257480C132094186 @default.
• W3040257480 hasConceptScore W3040257480C154945302 @default.
• W3040257480 hasConceptScore W3040257480C159985019 @default.
• W3040257480 hasConceptScore W3040257480C192562407 @default.
• W3040257480 hasConceptScore W3040257480C22789450 @default.
• W3040257480 hasConceptScore W3040257480C24890656 @default.
• W3040257480 hasConceptScore W3040257480C41008148 @default.
• W3040257480 hasConceptScore W3040257480C554190296 @default.
• W3040257480 hasConceptScore W3040257480C76155785 @default.
• W3040257480 hasConceptScore W3040257480C96035792 @default.
• W3040257480 hasFunder F4320321001 @default.
• W3040257480 hasFunder F4320327163 @default.
• W3040257480 hasFunder F4320333335 @default.
• W3040257480 hasIssue "11" @default.
• W3040257480 hasLocation W30402574801 @default.
• W3040257480 hasOpenAccess W3040257480 @default.

• next