FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2016452257> ?p ?o ?g. }

• W2016452257 endingPage "4833" @default.
• W2016452257 startingPage "4821" @default.
• W2016452257 abstract "Respiratory motion during free-breathing computed tomography (CT) scan may cause significant errors in target definition for tumors in the thorax and upper abdomen. A four-dimensional (4D) CT technique has been widely used for treatment simulation of thoracic and abdominal cancer radiotherapy. The current 4D CT techniques require retrospective sorting of the reconstructed CT slices oversampled at the same couch position. Most sorting methods depend on external surrogates of respiratory motion recorded by extra instruments. However, respiratory signals obtained from these external surrogates may not always accurately represent the internal target motion, especially when irregular breathing patterns occur. We have proposed a new sorting method based on multiple internal anatomical features for multi-slice CT scan acquired in the cine mode. Four features are analyzed in this study, including the air content, lung area, lung density and body area. We use a measure called spatial coherence to select the optimal internal feature at each couch position and to generate the respiratory signals for 4D CT sorting. The proposed method has been evaluated for ten cancer patients (eight with thoracic cancer and two with abdominal cancer). For nine patients, the respiratory signals generated from the combined internal features are well correlated to those from external surrogates recorded by the real-time position management (RPM) system (average correlation: 0.95 ± 0.02), which is better than any individual internal measures at 95% confidence level. For these nine patients, the 4D CT images sorted by the combined internal features are almost identical to those sorted by the RPM signal. For one patient with an irregular breathing pattern, the respiratory signals given by the combined internal features do not correlate well with those from RPM (correlation: 0.68 ± 0.42). In this case, the 4D CT image sorted by our method presents fewer artifacts than that from the RPM signal. Our 4D CT internal sorting method eliminates the need of externally recorded surrogates of respiratory motion. It is an automatic, accurate, robust, cost efficient and yet simple method and therefore can be readily implemented in clinical settings." @default.
• W2016452257 created "2016-06-24" @default.
• W2016452257 creator A5007642188 @default.
• W2016452257 creator A5018120191 @default.
• W2016452257 creator A5026273809 @default.
• W2016452257 creator A5058225724 @default.
• W2016452257 date "2009-07-22" @default.
• W2016452257 modified "2023-10-13" @default.
• W2016452257 title "4D CT sorting based on patient internal anatomy" @default.
• W2016452257 cites W1966026703 @default.
• W2016452257 cites W1968223854 @default.
• W2016452257 cites W1972981182 @default.
• W2016452257 cites W1985915381 @default.
• W2016452257 cites W1992740553 @default.
• W2016452257 cites W1996728714 @default.
• W2016452257 cites W2050590590 @default.
• W2016452257 cites W2051627524 @default.
• W2016452257 cites W2053356695 @default.
• W2016452257 cites W2062462385 @default.
• W2016452257 cites W2064654588 @default.
• W2016452257 cites W2071504423 @default.
• W2016452257 cites W2073870596 @default.
• W2016452257 cites W2075660361 @default.
• W2016452257 cites W2083256347 @default.
• W2016452257 cites W2094121467 @default.
• W2016452257 cites W2094229486 @default.
• W2016452257 cites W2098904788 @default.
• W2016452257 cites W2105535692 @default.
• W2016452257 cites W2133025770 @default.
• W2016452257 cites W2145122414 @default.
• W2016452257 cites W2159437808 @default.
• W2016452257 cites W4252095786 @default.
• W2016452257 doi "https://doi.org/10.1088/0031-9155/54/15/012" @default.
• W2016452257 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/19622855" @default.
• W2016452257 hasPublicationYear "2009" @default.
• W2016452257 type Work @default.
• W2016452257 sameAs 2016452257 @default.
• W2016452257 citedByCount "67" @default.
• W2016452257 countsByYear W20164522572012 @default.
• W2016452257 countsByYear W20164522572013 @default.
• W2016452257 countsByYear W20164522572014 @default.
• W2016452257 countsByYear W20164522572015 @default.
• W2016452257 countsByYear W20164522572016 @default.
• W2016452257 countsByYear W20164522572017 @default.
• W2016452257 countsByYear W20164522572018 @default.
• W2016452257 countsByYear W20164522572019 @default.
• W2016452257 countsByYear W20164522572020 @default.
• W2016452257 countsByYear W20164522572021 @default.
• W2016452257 countsByYear W20164522572022 @default.
• W2016452257 crossrefType "journal-article" @default.
• W2016452257 hasAuthorship W2016452257A5007642188 @default.
• W2016452257 hasAuthorship W2016452257A5018120191 @default.
• W2016452257 hasAuthorship W2016452257A5026273809 @default.
• W2016452257 hasAuthorship W2016452257A5058225724 @default.
• W2016452257 hasConcept C105702510 @default.
• W2016452257 hasConcept C111696304 @default.
• W2016452257 hasConcept C11413529 @default.
• W2016452257 hasConcept C126838900 @default.
• W2016452257 hasConcept C138885662 @default.
• W2016452257 hasConcept C142724271 @default.
• W2016452257 hasConcept C163716698 @default.
• W2016452257 hasConcept C2776256026 @default.
• W2016452257 hasConcept C2776401178 @default.
• W2016452257 hasConcept C2779983558 @default.
• W2016452257 hasConcept C2989005 @default.
• W2016452257 hasConcept C39300077 @default.
• W2016452257 hasConcept C41008148 @default.
• W2016452257 hasConcept C41895202 @default.
• W2016452257 hasConcept C71924100 @default.
• W2016452257 hasConcept C97834683 @default.
• W2016452257 hasConceptScore W2016452257C105702510 @default.
• W2016452257 hasConceptScore W2016452257C111696304 @default.
• W2016452257 hasConceptScore W2016452257C11413529 @default.
• W2016452257 hasConceptScore W2016452257C126838900 @default.
• W2016452257 hasConceptScore W2016452257C138885662 @default.
• W2016452257 hasConceptScore W2016452257C142724271 @default.
• W2016452257 hasConceptScore W2016452257C163716698 @default.
• W2016452257 hasConceptScore W2016452257C2776256026 @default.
• W2016452257 hasConceptScore W2016452257C2776401178 @default.
• W2016452257 hasConceptScore W2016452257C2779983558 @default.
• W2016452257 hasConceptScore W2016452257C2989005 @default.
• W2016452257 hasConceptScore W2016452257C39300077 @default.
• W2016452257 hasConceptScore W2016452257C41008148 @default.
• W2016452257 hasConceptScore W2016452257C41895202 @default.
• W2016452257 hasConceptScore W2016452257C71924100 @default.
• W2016452257 hasConceptScore W2016452257C97834683 @default.
• W2016452257 hasIssue "15" @default.
• W2016452257 hasLocation W20164522571 @default.
• W2016452257 hasLocation W20164522572 @default.
• W2016452257 hasOpenAccess W2016452257 @default.
• W2016452257 hasPrimaryLocation W20164522571 @default.
• W2016452257 hasRelatedWork W2038774506 @default.
• W2016452257 hasRelatedWork W2048679725 @default.
• W2016452257 hasRelatedWork W2065962253 @default.
• W2016452257 hasRelatedWork W2139075368 @default.
• W2016452257 hasRelatedWork W2158515681 @default.
• W2016452257 hasRelatedWork W2288899800 @default.
• W2016452257 hasRelatedWork W2409268766 @default.

• next