FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2064043280> ?p ?o ?g. }

• W2064043280 endingPage "3374" @default.
• W2064043280 startingPage "3374" @default.
• W2064043280 abstract "Purpose: To examine maximum intensity projections (MIPs) as a method for segmenting lung tumor internal target volumes (ITVs) in positron emission tomography (PET) images using two threshold-based methods, and to assess various parameters that potentially affect the accuracy of tumor segmentation by this technique. Methods and Materials: An acrylic phantom setup, consisting of a 1.5cm diameter sphere filled with 11 -C solution inside a cylindrical bath of 18-fluorodeoxyglucose solution, was used for a PET list-mode acquisition. The phantom was attached to a robotic arm that moved according to four patient breathing trajectories via an abdominal breathing bellows device. List-mode data was gated based on the breathing trajectories, and PET-MIPs were created from the reconstructed gated images. ITVs were calculated and compared for both un-gated PET images and PET-MIPs by using varying thresholds of absolute standardized uptake value (SUV) and percentage of maximum SUV. In addition, a simulation of PET-MIPs was performed to examine the effects of tumor size, image smoothing, and tumor trajectory on the accuracy of ITV measurement. Results: For any given threshold value, PET-MIPs tended to produce larger ITVs than un-gated PET. For optimal percentage thresholds across all trajectories, PET-MIPs measured an ITV to within 5% accuracy in a larger SUV range with lower initial values than un-gated PET for the same accuracy. For both PET-MIP and un-gated PET, a percentage threshold method produced a smaller deviation from true ITV in similar SUV ranges when compared to an absolute threshold method. The PET-MIP simulation demonstrated greater accuracy of ITV measurement with increased image smoothing and sphere size. Breathing trajectories exhibiting baseline drift negatively impacted accurate ITV determination. Conclusion: Threshold-based ITV segmentation is sensitive to lung tumor volume, trajectory, and SUV. PET-MIPs appear to be a promising tool in the accurate delineation of lung tumor ITV." @default.
• W2064043280 created "2016-06-24" @default.
• W2064043280 creator A5003894390 @default.
• W2064043280 creator A5006750331 @default.
• W2064043280 creator A5032192226 @default.
• W2064043280 creator A5039747246 @default.
• W2064043280 creator A5048679648 @default.
• W2064043280 creator A5073452610 @default.
• W2064043280 creator A5083473334 @default.
• W2064043280 creator A5091674984 @default.
• W2064043280 date "2011-06-01" @default.
• W2064043280 modified "2023-09-26" @default.
• W2064043280 title "SU-C-110-03: Utility of Maximum Intensity Projections of Gated PET Images in Determining Internal Target Volumes of Moving Lung Tumors: A Phantom Study" @default.
• W2064043280 doi "https://doi.org/10.1118/1.3611487" @default.
• W2064043280 hasPublicationYear "2011" @default.
• W2064043280 type Work @default.
• W2064043280 sameAs 2064043280 @default.
• W2064043280 citedByCount "0" @default.
• W2064043280 crossrefType "journal-article" @default.
• W2064043280 hasAuthorship W2064043280A5003894390 @default.
• W2064043280 hasAuthorship W2064043280A5006750331 @default.
• W2064043280 hasAuthorship W2064043280A5032192226 @default.
• W2064043280 hasAuthorship W2064043280A5039747246 @default.
• W2064043280 hasAuthorship W2064043280A5048679648 @default.
• W2064043280 hasAuthorship W2064043280A5073452610 @default.
• W2064043280 hasAuthorship W2064043280A5083473334 @default.
• W2064043280 hasAuthorship W2064043280A5091674984 @default.
• W2064043280 hasConcept C104293457 @default.
• W2064043280 hasConcept C136229726 @default.
• W2064043280 hasConcept C199374082 @default.
• W2064043280 hasConcept C2775842073 @default.
• W2064043280 hasConcept C2989005 @default.
• W2064043280 hasConcept C71924100 @default.
• W2064043280 hasConceptScore W2064043280C104293457 @default.
• W2064043280 hasConceptScore W2064043280C136229726 @default.
• W2064043280 hasConceptScore W2064043280C199374082 @default.
• W2064043280 hasConceptScore W2064043280C2775842073 @default.
• W2064043280 hasConceptScore W2064043280C2989005 @default.
• W2064043280 hasConceptScore W2064043280C71924100 @default.
• W2064043280 hasIssue "6Part2" @default.
• W2064043280 hasLocation W20640432801 @default.
• W2064043280 hasOpenAccess W2064043280 @default.
• W2064043280 hasPrimaryLocation W20640432801 @default.
• W2064043280 hasRelatedWork W1980883121 @default.
• W2064043280 hasRelatedWork W1991498924 @default.
• W2064043280 hasRelatedWork W1991553034 @default.
• W2064043280 hasRelatedWork W2083603357 @default.
• W2064043280 hasRelatedWork W2156996716 @default.
• W2064043280 hasRelatedWork W2911811836 @default.
• W2064043280 hasRelatedWork W2951337402 @default.
• W2064043280 hasRelatedWork W4214924925 @default.
• W2064043280 hasRelatedWork W4303575462 @default.
• W2064043280 hasRelatedWork W4360846462 @default.
• W2064043280 hasVolume "38" @default.
• W2064043280 isParatext "false" @default.
• W2064043280 isRetracted "false" @default.
• W2064043280 magId "2064043280" @default.
• W2064043280 workType "article" @default.