Matches in SemOpenAlex for { <https://semopenalex.org/work/W2021796648> ?p ?o ?g. }
- W2021796648 endingPage "1924" @default.
- W2021796648 startingPage "1919" @default.
- W2021796648 abstract "The use of axial image sets has become widely used to localize interstitial brachytherapy sources. One application of this method of localization is to perform post‐implant dosimetry following transperineal interstitial permanent prostate brachytherapy (TIPPB) where the target structure and the source locations are displayed on the same image. The design of an appropriate scanning sequence often results in abutting slices of an intermediate slice width (3, 4, or 5 mm). Because a single source may be imaged on more than one slice, the resultant scans always show many more source locations than actual sources implanted. The physicist is then faced with the tedious task of determining which sources appear on more than one slice and deciding which source locations to eliminate from the data set. We have developed an algorithm, similar to one employed by Roy et al., which automates this process by relaxing the nearest neighbor criterion until the number of sources is reduced to either the number of sources implanted or the number counted on a projection radiograph. This paper details this algorithm and the results of its application to phantom studies, comparing to known source locations, as well as clinical studies, comparing to orthogonal film source localization, on a series of ten patients. Phantom studies demonstrate the superiority of the algorithm over orthogonal film reconstruction, locating 100% of the sources within 5 mm of the actual location as compared to 66% for the paired radiographs. The clinical study findings are commensurate with these results, with 72% of the sources on average located within 5 mm of the corresponding source in the other data set. The positive correlation of the quality of the orthogonal film reconstruction results with the quality of the coregistration results suggests that differences in registration between the two data sets may be due primarily to the uncertainties in the orthogonal film reconstruction." @default.
- W2021796648 created "2016-06-24" @default.
- W2021796648 creator A5048542972 @default.
- W2021796648 creator A5049739987 @default.
- W2021796648 creator A5069367887 @default.
- W2021796648 creator A5077344817 @default.
- W2021796648 date "1999-09-01" @default.
- W2021796648 modified "2023-10-14" @default.
- W2021796648 title "Source localization from axial image sets by iterative relaxation of the nearest neighbor criterion" @default.
- W2021796648 cites W1966152963 @default.
- W2021796648 cites W1966575093 @default.
- W2021796648 cites W1966637521 @default.
- W2021796648 cites W1975142334 @default.
- W2021796648 cites W1983146065 @default.
- W2021796648 cites W1997924577 @default.
- W2021796648 cites W2048408831 @default.
- W2021796648 cites W2052865001 @default.
- W2021796648 cites W2056657295 @default.
- W2021796648 cites W2057069782 @default.
- W2021796648 cites W2063236883 @default.
- W2021796648 cites W2064057265 @default.
- W2021796648 cites W2064777290 @default.
- W2021796648 cites W2070594091 @default.
- W2021796648 cites W2071629157 @default.
- W2021796648 cites W2082365255 @default.
- W2021796648 cites W2088921352 @default.
- W2021796648 cites W2099626948 @default.
- W2021796648 doi "https://doi.org/10.1118/1.598717" @default.
- W2021796648 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/10505881" @default.
- W2021796648 hasPublicationYear "1999" @default.
- W2021796648 type Work @default.
- W2021796648 sameAs 2021796648 @default.
- W2021796648 citedByCount "21" @default.
- W2021796648 countsByYear W20217966482013 @default.
- W2021796648 countsByYear W20217966482022 @default.
- W2021796648 crossrefType "journal-article" @default.
- W2021796648 hasAuthorship W2021796648A5048542972 @default.
- W2021796648 hasAuthorship W2021796648A5049739987 @default.
- W2021796648 hasAuthorship W2021796648A5069367887 @default.
- W2021796648 hasAuthorship W2021796648A5077344817 @default.
- W2021796648 hasConcept C104293457 @default.
- W2021796648 hasConcept C111919701 @default.
- W2021796648 hasConcept C113238511 @default.
- W2021796648 hasConcept C11413529 @default.
- W2021796648 hasConcept C115961682 @default.
- W2021796648 hasConcept C120665830 @default.
- W2021796648 hasConcept C121332964 @default.
- W2021796648 hasConcept C126838900 @default.
- W2021796648 hasConcept C134093067 @default.
- W2021796648 hasConcept C141379421 @default.
- W2021796648 hasConcept C154945302 @default.
- W2021796648 hasConcept C177264268 @default.
- W2021796648 hasConcept C185544564 @default.
- W2021796648 hasConcept C199360897 @default.
- W2021796648 hasConcept C2777416452 @default.
- W2021796648 hasConcept C2989005 @default.
- W2021796648 hasConcept C31601959 @default.
- W2021796648 hasConcept C31972630 @default.
- W2021796648 hasConcept C36454342 @default.
- W2021796648 hasConcept C41008148 @default.
- W2021796648 hasConcept C509974204 @default.
- W2021796648 hasConcept C55020928 @default.
- W2021796648 hasConcept C57493831 @default.
- W2021796648 hasConcept C71924100 @default.
- W2021796648 hasConcept C75088862 @default.
- W2021796648 hasConcept C98045186 @default.
- W2021796648 hasConceptScore W2021796648C104293457 @default.
- W2021796648 hasConceptScore W2021796648C111919701 @default.
- W2021796648 hasConceptScore W2021796648C113238511 @default.
- W2021796648 hasConceptScore W2021796648C11413529 @default.
- W2021796648 hasConceptScore W2021796648C115961682 @default.
- W2021796648 hasConceptScore W2021796648C120665830 @default.
- W2021796648 hasConceptScore W2021796648C121332964 @default.
- W2021796648 hasConceptScore W2021796648C126838900 @default.
- W2021796648 hasConceptScore W2021796648C134093067 @default.
- W2021796648 hasConceptScore W2021796648C141379421 @default.
- W2021796648 hasConceptScore W2021796648C154945302 @default.
- W2021796648 hasConceptScore W2021796648C177264268 @default.
- W2021796648 hasConceptScore W2021796648C185544564 @default.
- W2021796648 hasConceptScore W2021796648C199360897 @default.
- W2021796648 hasConceptScore W2021796648C2777416452 @default.
- W2021796648 hasConceptScore W2021796648C2989005 @default.
- W2021796648 hasConceptScore W2021796648C31601959 @default.
- W2021796648 hasConceptScore W2021796648C31972630 @default.
- W2021796648 hasConceptScore W2021796648C36454342 @default.
- W2021796648 hasConceptScore W2021796648C41008148 @default.
- W2021796648 hasConceptScore W2021796648C509974204 @default.
- W2021796648 hasConceptScore W2021796648C55020928 @default.
- W2021796648 hasConceptScore W2021796648C57493831 @default.
- W2021796648 hasConceptScore W2021796648C71924100 @default.
- W2021796648 hasConceptScore W2021796648C75088862 @default.
- W2021796648 hasConceptScore W2021796648C98045186 @default.
- W2021796648 hasIssue "9" @default.
- W2021796648 hasLocation W20217966481 @default.
- W2021796648 hasLocation W20217966482 @default.
- W2021796648 hasOpenAccess W2021796648 @default.
- W2021796648 hasPrimaryLocation W20217966481 @default.
- W2021796648 hasRelatedWork W2016426829 @default.