FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891378987> ?p ?o ?g. }

• W2891378987 endingPage "1877" @default.
• W2891378987 startingPage "1871" @default.
• W2891378987 abstract "<h3>BACKGROUND AND PURPOSE:</h3> 4D-DSA provides time-resolved 3D-DSA volumes with high temporal and spatial resolutions. The purpose of this study is to investigate a shifted least squares method to estimate the blood velocity from the 4D DSA images. Quantitative validation was performed using a flow phantom with an ultrasonic flow probe as ground truth. Quantification of blood velocity in human internal carotid arteries was compared with measurements generated from 3D phase-contrast MR imaging. <h3>MATERIALS AND METHODS:</h3> The centerlines of selected vascular segments and the time concentration curves of each voxel along the centerlines were determined from the 4D-DSA dataset. The temporal shift required to achieve a minimum difference between any point and other points along the centerline of a segment was calculated. The temporal shift as a function of centerline point position was fit to a straight line to generate the velocity. The proposed shifted least-squares method was first validated using a flow phantom study. Blood velocities were also estimated in the 14 ICAs of human subjects who had both 4D-DSA and phase-contrast MR imaging studies. Linear regression and correlation analysis were performed on both the phantom study and clinical study, respectively. <h3>RESULTS:</h3> Mean velocities of the flow phantom calculated from 4D-DSA matched very well with ultrasonic flow probe measurements with 11% relative root mean square error. Mean blood velocities of ICAs calculated from 4D-DSA correlated well with phase-contrast MR imaging measurements with Pearson correlation coefficient <i>r</i> = 0.835. <h3>CONCLUSIONS:</h3> The availability of 4D-DSA provides the opportunity to use the shifted least-squares method to estimate velocity in vessels within a 3D volume." @default.
• W2891378987 created "2018-09-27" @default.
• W2891378987 creator A5005739962 @default.
• W2891378987 creator A5011300909 @default.
• W2891378987 creator A5013376380 @default.
• W2891378987 creator A5013650967 @default.
• W2891378987 creator A5029065166 @default.
• W2891378987 creator A5029837608 @default.
• W2891378987 creator A5039188988 @default.
• W2891378987 creator A5055137353 @default.
• W2891378987 creator A5062601339 @default.
• W2891378987 creator A5071703198 @default.
• W2891378987 creator A5083699599 @default.
• W2891378987 date "2018-09-13" @default.
• W2891378987 modified "2023-10-12" @default.
• W2891378987 title "Quantification of Blood Velocity with 4D Digital Subtraction Angiography Using the Shifted Least-Squares Method" @default.
• W2891378987 cites W1975659436 @default.
• W2891378987 cites W1979020541 @default.
• W2891378987 cites W2001233045 @default.
• W2891378987 cites W2005644979 @default.
• W2891378987 cites W2007549868 @default.
• W2891378987 cites W2014400260 @default.
• W2891378987 cites W2015743589 @default.
• W2891378987 cites W2030205467 @default.
• W2891378987 cites W2048733914 @default.
• W2891378987 cites W2050114670 @default.
• W2891378987 cites W2059134460 @default.
• W2891378987 cites W2062752932 @default.
• W2891378987 cites W2072564207 @default.
• W2891378987 cites W2098868934 @default.
• W2891378987 cites W2129604401 @default.
• W2891378987 cites W2129890910 @default.
• W2891378987 cites W2136343476 @default.
• W2891378987 cites W2138273558 @default.
• W2891378987 cites W2144522806 @default.
• W2891378987 cites W2411864445 @default.
• W2891378987 cites W2605996048 @default.
• W2891378987 doi "https://doi.org/10.3174/ajnr.a5793" @default.
• W2891378987 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6177311" @default.
• W2891378987 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30213811" @default.
• W2891378987 hasPublicationYear "2018" @default.
• W2891378987 type Work @default.
• W2891378987 sameAs 2891378987 @default.
• W2891378987 citedByCount "15" @default.
• W2891378987 countsByYear W28913789872019 @default.
• W2891378987 countsByYear W28913789872020 @default.
• W2891378987 countsByYear W28913789872021 @default.
• W2891378987 countsByYear W28913789872022 @default.
• W2891378987 countsByYear W28913789872023 @default.
• W2891378987 crossrefType "journal-article" @default.
• W2891378987 hasAuthorship W2891378987A5005739962 @default.
• W2891378987 hasAuthorship W2891378987A5011300909 @default.
• W2891378987 hasAuthorship W2891378987A5013376380 @default.
• W2891378987 hasAuthorship W2891378987A5013650967 @default.
• W2891378987 hasAuthorship W2891378987A5029065166 @default.
• W2891378987 hasAuthorship W2891378987A5029837608 @default.
• W2891378987 hasAuthorship W2891378987A5039188988 @default.
• W2891378987 hasAuthorship W2891378987A5055137353 @default.
• W2891378987 hasAuthorship W2891378987A5062601339 @default.
• W2891378987 hasAuthorship W2891378987A5071703198 @default.
• W2891378987 hasAuthorship W2891378987A5083699599 @default.
• W2891378987 hasBestOaLocation W28913789871 @default.
• W2891378987 hasConcept C104293457 @default.
• W2891378987 hasConcept C105795698 @default.
• W2891378987 hasConcept C126838900 @default.
• W2891378987 hasConcept C136229726 @default.
• W2891378987 hasConcept C158846371 @default.
• W2891378987 hasConcept C2778286760 @default.
• W2891378987 hasConcept C2780092901 @default.
• W2891378987 hasConcept C2780643987 @default.
• W2891378987 hasConcept C2989005 @default.
• W2891378987 hasConcept C33923547 @default.
• W2891378987 hasConcept C68060419 @default.
• W2891378987 hasConcept C71924100 @default.
• W2891378987 hasConcept C94375191 @default.
• W2891378987 hasConceptScore W2891378987C104293457 @default.
• W2891378987 hasConceptScore W2891378987C105795698 @default.
• W2891378987 hasConceptScore W2891378987C126838900 @default.
• W2891378987 hasConceptScore W2891378987C136229726 @default.
• W2891378987 hasConceptScore W2891378987C158846371 @default.
• W2891378987 hasConceptScore W2891378987C2778286760 @default.
• W2891378987 hasConceptScore W2891378987C2780092901 @default.
• W2891378987 hasConceptScore W2891378987C2780643987 @default.
• W2891378987 hasConceptScore W2891378987C2989005 @default.
• W2891378987 hasConceptScore W2891378987C33923547 @default.
• W2891378987 hasConceptScore W2891378987C68060419 @default.
• W2891378987 hasConceptScore W2891378987C71924100 @default.
• W2891378987 hasConceptScore W2891378987C94375191 @default.
• W2891378987 hasFunder F4320327217 @default.
• W2891378987 hasIssue "10" @default.
• W2891378987 hasLocation W28913789871 @default.
• W2891378987 hasLocation W28913789872 @default.
• W2891378987 hasLocation W28913789873 @default.
• W2891378987 hasLocation W28913789874 @default.
• W2891378987 hasOpenAccess W2891378987 @default.
• W2891378987 hasPrimaryLocation W28913789871 @default.
• W2891378987 hasRelatedWork W1497555139 @default.
• W2891378987 hasRelatedWork W1873493146 @default.

• next