FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2998990144> ?p ?o ?g. }

• W2998990144 endingPage "65" @default.
• W2998990144 startingPage "53" @default.
• W2998990144 abstract "Accurate assessment of 3D models of patient-specific anatomy of the liver, including underlying hepatic and biliary tree, is critical for preparation and safe execution of complex liver resections, especially due to high variability of biliary and hepatic artery anatomies. Dynamic MRI with hepatospecific contrast agents is currently the only type of diagnostic imaging that provides all anatomical information required for generation of such a model, yet there is no information in the literature on how the complete 3D model can be generated automatically. In this work, a new automated segmentation workflow for extraction of patient-specific 3D model of the liver, hepatovascular and biliary anatomy from a single multiphase MRI acquisition is developed and quantitatively evaluated. The workflow incorporates course 4D k-means clustering estimation and geodesic active contour refinement of the liver boundary, based on organ's characteristic uptake of gadolinium contrast agents overtime. Subsequently, hepatic vasculature and biliary ducts segmentations are performed using multiscale vesselness filters. The algorithm was evaluated using 15 test datasets of patients with liver malignancies of various histopathological types. It showed good correlation with expert manual segmentation, resulting in an average of 1.76 ± 2.44 mm Hausdorff distance for the liver boundary, and 0.58 ± 0.72 and 1.16 ± 1.98 mm between centrelines of biliary ducts and liver veins, respectively. A workflow for automatic segmentation of the liver, hepatic vasculature and biliary anatomy from a single diagnostic MRI acquisition was developed. This enables automated extraction of 3D models of patient-specific liver anatomy, and may facilitating better perception of organ's anatomy during preparation and execution of liver surgeries. Additionally, it may help to reduce the incidence of intraoperative biliary duct damage due to an unanticipated variation in the anatomy." @default.
• W2998990144 created "2020-01-23" @default.
• W2998990144 creator A5002131057 @default.
• W2998990144 creator A5007480800 @default.
• W2998990144 creator A5011998830 @default.
• W2998990144 creator A5020541643 @default.
• W2998990144 creator A5026943486 @default.
• W2998990144 creator A5034409883 @default.
• W2998990144 creator A5035872135 @default.
• W2998990144 creator A5039145597 @default.
• W2998990144 date "2020-05-01" @default.
• W2998990144 modified "2023-09-30" @default.
• W2998990144 title "A workflow for automated segmentation of the liver surface, hepatic vasculature and biliary tree anatomy from multiphase MR images" @default.
• W2998990144 cites W1965881995 @default.
• W2998990144 cites W1971028492 @default.
• W2998990144 cites W1972276317 @default.
• W2998990144 cites W1974005282 @default.
• W2998990144 cites W1976550982 @default.
• W2998990144 cites W1980440335 @default.
• W2998990144 cites W2001392327 @default.
• W2998990144 cites W2015747324 @default.
• W2998990144 cites W2027972198 @default.
• W2998990144 cites W2028083041 @default.
• W2998990144 cites W2029988789 @default.
• W2998990144 cites W2063104199 @default.
• W2998990144 cites W2070300108 @default.
• W2998990144 cites W2071740290 @default.
• W2998990144 cites W2079088467 @default.
• W2998990144 cites W2084882620 @default.
• W2998990144 cites W2088233723 @default.
• W2998990144 cites W2091523306 @default.
• W2998990144 cites W2096320880 @default.
• W2998990144 cites W2101474995 @default.
• W2998990144 cites W2122374500 @default.
• W2998990144 cites W2135420923 @default.
• W2998990144 cites W2138385272 @default.
• W2998990144 cites W2139845155 @default.
• W2998990144 cites W2140350746 @default.
• W2998990144 cites W2153431772 @default.
• W2998990144 cites W2170992667 @default.
• W2998990144 cites W2357815549 @default.
• W2998990144 cites W2550380503 @default.
• W2998990144 cites W2551560790 @default.
• W2998990144 cites W2592929672 @default.
• W2998990144 cites W2605002652 @default.
• W2998990144 cites W2774436127 @default.
• W2998990144 cites W2805272914 @default.
• W2998990144 cites W288721753 @default.
• W2998990144 cites W3211330693 @default.
• W2998990144 doi "https://doi.org/10.1016/j.mri.2019.12.008" @default.
• W2998990144 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31935445" @default.
• W2998990144 hasPublicationYear "2020" @default.
• W2998990144 type Work @default.
• W2998990144 sameAs 2998990144 @default.
• W2998990144 citedByCount "16" @default.
• W2998990144 countsByYear W29989901442020 @default.
• W2998990144 countsByYear W29989901442021 @default.
• W2998990144 countsByYear W29989901442022 @default.
• W2998990144 countsByYear W29989901442023 @default.
• W2998990144 crossrefType "journal-article" @default.
• W2998990144 hasAuthorship W2998990144A5002131057 @default.
• W2998990144 hasAuthorship W2998990144A5007480800 @default.
• W2998990144 hasAuthorship W2998990144A5011998830 @default.
• W2998990144 hasAuthorship W2998990144A5020541643 @default.
• W2998990144 hasAuthorship W2998990144A5026943486 @default.
• W2998990144 hasAuthorship W2998990144A5034409883 @default.
• W2998990144 hasAuthorship W2998990144A5035872135 @default.
• W2998990144 hasAuthorship W2998990144A5039145597 @default.
• W2998990144 hasConcept C113174947 @default.
• W2998990144 hasConcept C126838900 @default.
• W2998990144 hasConcept C134306372 @default.
• W2998990144 hasConcept C154945302 @default.
• W2998990144 hasConcept C33923547 @default.
• W2998990144 hasConcept C41008148 @default.
• W2998990144 hasConcept C71924100 @default.
• W2998990144 hasConcept C89600930 @default.
• W2998990144 hasConceptScore W2998990144C113174947 @default.
• W2998990144 hasConceptScore W2998990144C126838900 @default.
• W2998990144 hasConceptScore W2998990144C134306372 @default.
• W2998990144 hasConceptScore W2998990144C154945302 @default.
• W2998990144 hasConceptScore W2998990144C33923547 @default.
• W2998990144 hasConceptScore W2998990144C41008148 @default.
• W2998990144 hasConceptScore W2998990144C71924100 @default.
• W2998990144 hasConceptScore W2998990144C89600930 @default.
• W2998990144 hasLocation W29989901441 @default.
• W2998990144 hasLocation W29989901442 @default.
• W2998990144 hasOpenAccess W2998990144 @default.
• W2998990144 hasPrimaryLocation W29989901441 @default.
• W2998990144 hasRelatedWork W141524600 @default.
• W2998990144 hasRelatedWork W1841185769 @default.
• W2998990144 hasRelatedWork W2049214470 @default.
• W2998990144 hasRelatedWork W2072926321 @default.
• W2998990144 hasRelatedWork W2155887765 @default.
• W2998990144 hasRelatedWork W2358941527 @default.
• W2998990144 hasRelatedWork W2394327295 @default.
• W2998990144 hasRelatedWork W2748952813 @default.
• W2998990144 hasRelatedWork W2899084033 @default.
• W2998990144 hasRelatedWork W3107474891 @default.

• next