FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2078190171> ?p ?o ?g. }

• W2078190171 abstract "Purpose: Atherosclerosis is the primary cause of heart disease and stroke. The detailed assessment of atherosclerosis of the carotid artery requires high resolution imaging of the vessel wall using multiple MR sequences with different contrast weightings. These images allow manual or automated classification of plaque components inside the vessel wall. Automated classification requires all sequences to be in alignment, which is hampered by patient motion. In clinical practice, correction of this motion is performed manually. Previous studies applied automated image registration to correct for motion using only nondeformable transformation models and did not perform a detailed quantitative validation. The purpose of this study is to develop an automated accurate 3D registration method, and to extensively validate this method on a large set of patient data. In addition, the authors quantified patient motion during scanning to investigate the need for correction. Methods: MR imaging studies (1.5T, dedicated carotid surface coil, Philips) from 55 TIA/stroke patients with ipsilateral <70% carotid artery stenosis were randomly selected from a larger cohort. Five MR pulse sequences were acquired around the carotid bifurcation, each containing nine transverse slices: T1‐weighted turbo field echo, time of flight, T2‐weighted turbo spin‐echo, and pre‐ and postcontrast T1‐weighted turbo spin‐echo images (T1W TSE). The images were manually segmented by delineating the lumen contour in each vessel wall sequence and were manually aligned by applying throughplane and inplane translations to the images. To find the optimal automatic image registration method, different masks, choice of the fixed image, different types of the mutual information image similarity metric, and transformation models including 3D deformable transformation models, were evaluated. Evaluation of the automatic registration results was performed by comparing the lumen segmentations of the fixed image and moving image after registration. Results: The average required manual translation per image slice was 1.33 mm. Translations were larger as the patient was longer inside the scanner. Manual alignment took 187.5 s per patient resulting in a mean surface distance of 0.271 ± 0.127 mm. After minimal user interaction to generate the mask in the fixed image, the remaining sequences are automatically registered with a computation time of 52.0 s per patient. The optimal registration strategy used a circular mask with a diameter of 10 mm, a 3D B‐spline transformation model with a control point spacing of 15 mm, mutual information as image similarity metric, and the precontrast T1W TSE as fixed image. A mean surface distance of 0.288 ± 0.128 mm was obtained with these settings, which is very close to the accuracy of the manual alignment procedure. The exact registration parameters and software were made publicly available. Conclusions: An automated registration method was developed and optimized, only needing two mouse clicks to mark the start and end point of the artery. Validation on a large group of patients showed that automated image registration has similar accuracy as the manual alignment procedure, substantially reducing the amount of user interactions needed, and is multiple times faster. In conclusion, the authors believe that the proposed automated method can replace the current manual procedure, thereby reducing the time to analyze the images." @default.
• W2078190171 created "2016-06-24" @default.
• W2078190171 creator A5003253111 @default.
• W2078190171 creator A5009602483 @default.
• W2078190171 creator A5019003563 @default.
• W2078190171 creator A5025788902 @default.
• W2078190171 creator A5028379363 @default.
• W2078190171 creator A5047399327 @default.
• W2078190171 creator A5048648478 @default.
• W2078190171 creator A5052901925 @default.
• W2078190171 date "2013-11-11" @default.
• W2078190171 modified "2023-10-17" @default.
• W2078190171 title "Automated registration of multispectral MR vessel wall images of the carotid artery" @default.
• W2078190171 cites W1874027545 @default.
• W2078190171 cites W1970516435 @default.
• W2078190171 cites W1987869189 @default.
• W2078190171 cites W2022427932 @default.
• W2078190171 cites W2033931260 @default.
• W2078190171 cites W2034432063 @default.
• W2078190171 cites W2053684168 @default.
• W2078190171 cites W2066772034 @default.
• W2078190171 cites W2070128876 @default.
• W2078190171 cites W2070519139 @default.
• W2078190171 cites W2081208940 @default.
• W2078190171 cites W2090042240 @default.
• W2078190171 cites W2113576511 @default.
• W2078190171 cites W2115139789 @default.
• W2078190171 cites W2115862124 @default.
• W2078190171 cites W2117438985 @default.
• W2078190171 cites W2120097311 @default.
• W2078190171 cites W2120271798 @default.
• W2078190171 cites W2120849759 @default.
• W2078190171 cites W2133287637 @default.
• W2078190171 cites W2142853128 @default.
• W2078190171 cites W2147844892 @default.
• W2078190171 cites W2161656695 @default.
• W2078190171 cites W2166292038 @default.
• W2078190171 cites W2166833304 @default.
• W2078190171 cites W2167090712 @default.
• W2078190171 cites W2169018557 @default.
• W2078190171 cites W4256475235 @default.
• W2078190171 cites W4292172722 @default.
• W2078190171 doi "https://doi.org/10.1118/1.4829503" @default.
• W2078190171 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24320515" @default.
• W2078190171 hasPublicationYear "2013" @default.
• W2078190171 type Work @default.
• W2078190171 sameAs 2078190171 @default.
• W2078190171 citedByCount "20" @default.
• W2078190171 countsByYear W20781901712013 @default.
• W2078190171 countsByYear W20781901712014 @default.
• W2078190171 countsByYear W20781901712015 @default.
• W2078190171 countsByYear W20781901712016 @default.
• W2078190171 countsByYear W20781901712017 @default.
• W2078190171 countsByYear W20781901712018 @default.
• W2078190171 countsByYear W20781901712021 @default.
• W2078190171 countsByYear W20781901712022 @default.
• W2078190171 crossrefType "journal-article" @default.
• W2078190171 hasAuthorship W2078190171A5003253111 @default.
• W2078190171 hasAuthorship W2078190171A5009602483 @default.
• W2078190171 hasAuthorship W2078190171A5019003563 @default.
• W2078190171 hasAuthorship W2078190171A5025788902 @default.
• W2078190171 hasAuthorship W2078190171A5028379363 @default.
• W2078190171 hasAuthorship W2078190171A5047399327 @default.
• W2078190171 hasAuthorship W2078190171A5048648478 @default.
• W2078190171 hasAuthorship W2078190171A5052901925 @default.
• W2078190171 hasConcept C115961682 @default.
• W2078190171 hasConcept C126838900 @default.
• W2078190171 hasConcept C141071460 @default.
• W2078190171 hasConcept C143409427 @default.
• W2078190171 hasConcept C154945302 @default.
• W2078190171 hasConcept C166704113 @default.
• W2078190171 hasConcept C2781064879 @default.
• W2078190171 hasConcept C2987047532 @default.
• W2078190171 hasConcept C31972630 @default.
• W2078190171 hasConcept C41008148 @default.
• W2078190171 hasConcept C71924100 @default.
• W2078190171 hasConceptScore W2078190171C115961682 @default.
• W2078190171 hasConceptScore W2078190171C126838900 @default.
• W2078190171 hasConceptScore W2078190171C141071460 @default.
• W2078190171 hasConceptScore W2078190171C143409427 @default.
• W2078190171 hasConceptScore W2078190171C154945302 @default.
• W2078190171 hasConceptScore W2078190171C166704113 @default.
• W2078190171 hasConceptScore W2078190171C2781064879 @default.
• W2078190171 hasConceptScore W2078190171C2987047532 @default.
• W2078190171 hasConceptScore W2078190171C31972630 @default.
• W2078190171 hasConceptScore W2078190171C41008148 @default.
• W2078190171 hasConceptScore W2078190171C71924100 @default.
• W2078190171 hasFunder F4320323596 @default.
• W2078190171 hasIssue "12" @default.
• W2078190171 hasLocation W20781901711 @default.
• W2078190171 hasLocation W20781901712 @default.
• W2078190171 hasOpenAccess W2078190171 @default.
• W2078190171 hasPrimaryLocation W20781901711 @default.
• W2078190171 hasRelatedWork W2009466720 @default.
• W2078190171 hasRelatedWork W2011443206 @default.
• W2078190171 hasRelatedWork W2041698670 @default.
• W2078190171 hasRelatedWork W2103390397 @default.
• W2078190171 hasRelatedWork W2114100766 @default.
• W2078190171 hasRelatedWork W2125070361 @default.
• W2078190171 hasRelatedWork W2154555259 @default.

• next