FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2073502857> ?p ?o ?g. }

• W2073502857 endingPage "43" @default.
• W2073502857 startingPage "38" @default.
• W2073502857 abstract "Computed tomography angiography (CTA) is becoming an increasingly accepted noninvasive alternative to catheter angiography. To display continuous vessel contours without superimposed bone in a similar manner, postprocessing of the CTA data is necessary. Threshold-based techniques often fail in regions of close vessel-bone contact, which frequently requires user interaction to optimize the results. This may be laborious and time consuming. The aim of this study was to assess the feasibility of a fully automated algorithm for bone subtraction in cranial CT angiography.Forty-nine patients underwent cranial CT angiography on 64 slice CT systems. Two scans were performed, one before (mask) and one after (CTA) contrast agent administration. Images were processed with commercially available subtraction software. Two examiners rated the success of overall bone removal and image quality of different vessel segments (n = 34) with a 4-point scale (1 = poor; 4 = excellent); original CTA data served as the reference.Subtraction was performed successfully in all cases, overall subtraction quality was high (82% of cases were rated good or excellent). Only 50 of 1666 arterial segments (3%) were rated nondiagnostic. No relevant artificial stenoses of the internal carotid artery (ICA) or vertebral artery along their way through the skull base were detected when comparing CTA source images to bone subtraction computed tomography angiography (BSCTA) images.Automatic subtraction provides diagnostic image quality for 3D visualization of intracranial vessels, free from over projecting bone in a fully automatic way. Aneurysms can be evaluated from all angles, and ICA stenoses at the skull base were easily visualized." @default.
• W2073502857 created "2016-06-24" @default.
• W2073502857 creator A5024212960 @default.
• W2073502857 creator A5037041224 @default.
• W2073502857 creator A5041820342 @default.
• W2073502857 creator A5048220341 @default.
• W2073502857 creator A5069473650 @default.
• W2073502857 creator A5074297046 @default.
• W2073502857 creator A5082428769 @default.
• W2073502857 date "2009-01-01" @default.
• W2073502857 modified "2023-10-16" @default.
• W2073502857 title "Cranial Computed Tomography Angiography With Automated Bone Subtraction" @default.
• W2073502857 cites W1976868507 @default.
• W2073502857 cites W1981150368 @default.
• W2073502857 cites W1987719059 @default.
• W2073502857 cites W1998860285 @default.
• W2073502857 cites W2000473851 @default.
• W2073502857 cites W2009819919 @default.
• W2073502857 cites W2011003681 @default.
• W2073502857 cites W2014140391 @default.
• W2073502857 cites W2034266901 @default.
• W2073502857 cites W2037601355 @default.
• W2073502857 cites W2056833947 @default.
• W2073502857 cites W2057535426 @default.
• W2073502857 cites W2060912631 @default.
• W2073502857 cites W2065992237 @default.
• W2073502857 cites W2067680723 @default.
• W2073502857 cites W2089435979 @default.
• W2073502857 cites W2138501157 @default.
• W2073502857 cites W2141889683 @default.
• W2073502857 cites W2153405635 @default.
• W2073502857 cites W2153911040 @default.
• W2073502857 cites W2156875677 @default.
• W2073502857 cites W2164930698 @default.
• W2073502857 cites W2169436924 @default.
• W2073502857 doi "https://doi.org/10.1097/rli.0b013e31818c3d6b" @default.
• W2073502857 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/18836384" @default.
• W2073502857 hasPublicationYear "2009" @default.
• W2073502857 type Work @default.
• W2073502857 sameAs 2073502857 @default.
• W2073502857 citedByCount "41" @default.
• W2073502857 countsByYear W20735028572012 @default.
• W2073502857 countsByYear W20735028572013 @default.
• W2073502857 countsByYear W20735028572014 @default.
• W2073502857 countsByYear W20735028572015 @default.
• W2073502857 countsByYear W20735028572016 @default.
• W2073502857 countsByYear W20735028572017 @default.
• W2073502857 countsByYear W20735028572018 @default.
• W2073502857 countsByYear W20735028572019 @default.
• W2073502857 countsByYear W20735028572020 @default.
• W2073502857 countsByYear W20735028572023 @default.
• W2073502857 crossrefType "journal-article" @default.
• W2073502857 hasAuthorship W2073502857A5024212960 @default.
• W2073502857 hasAuthorship W2073502857A5037041224 @default.
• W2073502857 hasAuthorship W2073502857A5041820342 @default.
• W2073502857 hasAuthorship W2073502857A5048220341 @default.
• W2073502857 hasAuthorship W2073502857A5069473650 @default.
• W2073502857 hasAuthorship W2073502857A5074297046 @default.
• W2073502857 hasAuthorship W2073502857A5082428769 @default.
• W2073502857 hasConcept C115961682 @default.
• W2073502857 hasConcept C126838900 @default.
• W2073502857 hasConcept C141071460 @default.
• W2073502857 hasConcept C154945302 @default.
• W2073502857 hasConcept C163716698 @default.
• W2073502857 hasConcept C193828747 @default.
• W2073502857 hasConcept C2778286760 @default.
• W2073502857 hasConcept C2779300802 @default.
• W2073502857 hasConcept C2780643987 @default.
• W2073502857 hasConcept C2781347138 @default.
• W2073502857 hasConcept C33923547 @default.
• W2073502857 hasConcept C37672646 @default.
• W2073502857 hasConcept C41008148 @default.
• W2073502857 hasConcept C55020928 @default.
• W2073502857 hasConcept C68060419 @default.
• W2073502857 hasConcept C71924100 @default.
• W2073502857 hasConcept C9417928 @default.
• W2073502857 hasConcept C94375191 @default.
• W2073502857 hasConceptScore W2073502857C115961682 @default.
• W2073502857 hasConceptScore W2073502857C126838900 @default.
• W2073502857 hasConceptScore W2073502857C141071460 @default.
• W2073502857 hasConceptScore W2073502857C154945302 @default.
• W2073502857 hasConceptScore W2073502857C163716698 @default.
• W2073502857 hasConceptScore W2073502857C193828747 @default.
• W2073502857 hasConceptScore W2073502857C2778286760 @default.
• W2073502857 hasConceptScore W2073502857C2779300802 @default.
• W2073502857 hasConceptScore W2073502857C2780643987 @default.
• W2073502857 hasConceptScore W2073502857C2781347138 @default.
• W2073502857 hasConceptScore W2073502857C33923547 @default.
• W2073502857 hasConceptScore W2073502857C37672646 @default.
• W2073502857 hasConceptScore W2073502857C41008148 @default.
• W2073502857 hasConceptScore W2073502857C55020928 @default.
• W2073502857 hasConceptScore W2073502857C68060419 @default.
• W2073502857 hasConceptScore W2073502857C71924100 @default.
• W2073502857 hasConceptScore W2073502857C9417928 @default.
• W2073502857 hasConceptScore W2073502857C94375191 @default.
• W2073502857 hasIssue "1" @default.
• W2073502857 hasLocation W20735028571 @default.
• W2073502857 hasLocation W20735028572 @default.

• next