Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017456026> ?p ?o ?g. }
- W2017456026 endingPage "237" @default.
- W2017456026 startingPage "226" @default.
- W2017456026 abstract "In this paper we report and characterize a semi-automatic prostate segmentation method for prostate brachytherapy. Based on anatomical evidence and requirements of the treatment procedure, a warped and tapered ellipsoid was found suitable as the a-priori 3D shape of the prostate. By transforming the acquired endorectal transverse images of the prostate into ellipses, the shape fitting problem was cast into a convex problem which can be solved efficiently. The average whole gland error between non-overlapping volumes created from manual and semi-automatic contours from 21 patients was 6.63 ± 0.9%. For use in brachytherapy treatment planning, the resulting contours were modified, if deemed necessary, by radiation oncologists prior to treatment. The average whole gland volume error between the volumes computed from semi-automatic contours and those computed from modified contours, from 40 patients, was 5.82 ± 4.15%. The amount of bias in the physicians' delineations when given an initial semi-automatic contour was measured by comparing the volume error between 10 prostate volumes computed from manual contours with those of modified contours. This error was found to be 7.25 ± 0.39% for the whole gland. Automatic contouring reduced subjectivity, as evidenced by a decrease in segmentation inter- and intra-observer variability from 4.65% and 5.95% for manual segmentation to 3.04% and 3.48% for semi-automatic segmentation, respectively. We characterized the performance of the method relative to the reference obtained from manual segmentation by using a novel approach that divides the prostate region into nine sectors. We analyzed each sector independently as the requirements for segmentation accuracy depend on which region of the prostate is considered. The measured segmentation time is 14 ± 1s with an additional 32 ± 14s for initialization. By assuming 1-3 min for modification of the contours, if necessary, a total segmentation time of less than 4 min is required, with no additional time required prior to treatment planning. This compares favorably to the 5-15 min manual segmentation time required for experienced individuals. The method is currently used at the British Columbia Cancer Agency (BCCA) Vancouver Cancer Centre as part of the standard treatment routine in low dose rate prostate brachytherapy and is found to be a fast, consistent and accurate tool for the delineation of the prostate gland in ultrasound images." @default.
- W2017456026 created "2016-06-24" @default.
- W2017456026 creator A5028375560 @default.
- W2017456026 creator A5037569609 @default.
- W2017456026 creator A5049350816 @default.
- W2017456026 creator A5059063501 @default.
- W2017456026 creator A5063201022 @default.
- W2017456026 date "2011-04-01" @default.
- W2017456026 modified "2023-10-18" @default.
- W2017456026 title "Semi-automatic segmentation for prostate interventions" @default.
- W2017456026 cites W1538187487 @default.
- W2017456026 cites W1544898917 @default.
- W2017456026 cites W1911215475 @default.
- W2017456026 cites W2016302913 @default.
- W2017456026 cites W2038952578 @default.
- W2017456026 cites W2040867737 @default.
- W2017456026 cites W2069303738 @default.
- W2017456026 cites W2075760622 @default.
- W2017456026 cites W2083534882 @default.
- W2017456026 cites W2097748024 @default.
- W2017456026 cites W2098979973 @default.
- W2017456026 cites W2108637262 @default.
- W2017456026 cites W2109292231 @default.
- W2017456026 cites W2119249988 @default.
- W2017456026 cites W2126763729 @default.
- W2017456026 cites W2134491911 @default.
- W2017456026 cites W2143090675 @default.
- W2017456026 cites W2143830140 @default.
- W2017456026 cites W2144937751 @default.
- W2017456026 cites W2148946811 @default.
- W2017456026 cites W2154582710 @default.
- W2017456026 cites W2157702164 @default.
- W2017456026 cites W2161237731 @default.
- W2017456026 cites W2163273992 @default.
- W2017456026 cites W2163962673 @default.
- W2017456026 cites W2168423768 @default.
- W2017456026 cites W2169857692 @default.
- W2017456026 cites W2171963641 @default.
- W2017456026 cites W2172011289 @default.
- W2017456026 cites W2281334906 @default.
- W2017456026 cites W2787523326 @default.
- W2017456026 cites W2915543933 @default.
- W2017456026 cites W569541895 @default.
- W2017456026 doi "https://doi.org/10.1016/j.media.2010.10.002" @default.
- W2017456026 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3142944" @default.
- W2017456026 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21084216" @default.
- W2017456026 hasPublicationYear "2011" @default.
- W2017456026 type Work @default.
- W2017456026 sameAs 2017456026 @default.
- W2017456026 citedByCount "64" @default.
- W2017456026 countsByYear W20174560262012 @default.
- W2017456026 countsByYear W20174560262013 @default.
- W2017456026 countsByYear W20174560262014 @default.
- W2017456026 countsByYear W20174560262015 @default.
- W2017456026 countsByYear W20174560262016 @default.
- W2017456026 countsByYear W20174560262017 @default.
- W2017456026 countsByYear W20174560262018 @default.
- W2017456026 countsByYear W20174560262019 @default.
- W2017456026 countsByYear W20174560262020 @default.
- W2017456026 countsByYear W20174560262021 @default.
- W2017456026 countsByYear W20174560262022 @default.
- W2017456026 countsByYear W20174560262023 @default.
- W2017456026 crossrefType "journal-article" @default.
- W2017456026 hasAuthorship W2017456026A5028375560 @default.
- W2017456026 hasAuthorship W2017456026A5037569609 @default.
- W2017456026 hasAuthorship W2017456026A5049350816 @default.
- W2017456026 hasAuthorship W2017456026A5059063501 @default.
- W2017456026 hasAuthorship W2017456026A5063201022 @default.
- W2017456026 hasBestOaLocation W20174560262 @default.
- W2017456026 hasConcept C114466953 @default.
- W2017456026 hasConcept C121608353 @default.
- W2017456026 hasConcept C121684516 @default.
- W2017456026 hasConcept C124504099 @default.
- W2017456026 hasConcept C126322002 @default.
- W2017456026 hasConcept C126838900 @default.
- W2017456026 hasConcept C153180895 @default.
- W2017456026 hasConcept C154945302 @default.
- W2017456026 hasConcept C199360897 @default.
- W2017456026 hasConcept C2776235491 @default.
- W2017456026 hasConcept C2777416452 @default.
- W2017456026 hasConcept C2778648096 @default.
- W2017456026 hasConcept C2779104521 @default.
- W2017456026 hasConcept C2993530982 @default.
- W2017456026 hasConcept C31972630 @default.
- W2017456026 hasConcept C41008148 @default.
- W2017456026 hasConcept C509974204 @default.
- W2017456026 hasConcept C71924100 @default.
- W2017456026 hasConcept C89600930 @default.
- W2017456026 hasConceptScore W2017456026C114466953 @default.
- W2017456026 hasConceptScore W2017456026C121608353 @default.
- W2017456026 hasConceptScore W2017456026C121684516 @default.
- W2017456026 hasConceptScore W2017456026C124504099 @default.
- W2017456026 hasConceptScore W2017456026C126322002 @default.
- W2017456026 hasConceptScore W2017456026C126838900 @default.
- W2017456026 hasConceptScore W2017456026C153180895 @default.
- W2017456026 hasConceptScore W2017456026C154945302 @default.
- W2017456026 hasConceptScore W2017456026C199360897 @default.
- W2017456026 hasConceptScore W2017456026C2776235491 @default.