Matches in SemOpenAlex for { <https://semopenalex.org/work/W2008839148> ?p ?o ?g. }
- W2008839148 endingPage "4931" @default.
- W2008839148 startingPage "4918" @default.
- W2008839148 abstract "Purpose: Misalignment artifacts are a serious problem in medical flat-detector computed tomography. Generally, the geometrical parameters, which are essential for reconstruction, are provided by preceding calibration routines. These procedures are time consuming and the later use of stored parameters is sensitive toward external impacts or patient movement. The method of choice in a clinical environment would be a markerless online-calibration procedure that allows flexible scan trajectories and simultaneously corrects misalignment and motion artifacts during the reconstruction process. Therefore, different image features were evaluated according to their capability of quantifying misalignment. Methods: Projections of the FORBILD head and thorax phantoms were simulated. Additionally, acquisitions of a head phantom and patient data were used for evaluation. For the reconstruction different sources and magnitudes of misalignment were introduced in the geometry description. The resulting volumes were analyzed by entropy (based on the gray-level histogram), total variation, Gabor filter texture features, Haralick co-occurrence features, and Tamura texture features. The feature results were compared to the back-projection mismatch of the disturbed geometry. Results: The evaluations demonstrate the ability of several well-established image features to classify misalignment. The authors elaborated the particular suitability of the gray-level histogram-based entropy on identifying misalignment artifacts, after applying an appropriate window level (bone window). Conclusions: Some of the proposed feature extraction algorithms show a strong correlation with the misalignment level. Especially, entropy-based methods showed very good correspondence, with the best of these being the type that uses the gray-level histogram for calculation. This makes it a suitable image feature for online-calibration." @default.
- W2008839148 created "2016-06-24" @default.
- W2008839148 creator A5021236437 @default.
- W2008839148 creator A5021947113 @default.
- W2008839148 creator A5056906118 @default.
- W2008839148 creator A5060018462 @default.
- W2008839148 date "2012-07-25" @default.
- W2008839148 modified "2023-10-13" @default.
- W2008839148 title "Image features for misalignment correction in medical flat-detector CT" @default.
- W2008839148 cites W1963659938 @default.
- W2008839148 cites W1966519843 @default.
- W2008839148 cites W1969899894 @default.
- W2008839148 cites W1972150100 @default.
- W2008839148 cites W1976865778 @default.
- W2008839148 cites W1978562531 @default.
- W2008839148 cites W1981688552 @default.
- W2008839148 cites W1982576185 @default.
- W2008839148 cites W1983240749 @default.
- W2008839148 cites W1988445395 @default.
- W2008839148 cites W2038632684 @default.
- W2008839148 cites W2044465660 @default.
- W2008839148 cites W2049694710 @default.
- W2008839148 cites W2058118681 @default.
- W2008839148 cites W2059047366 @default.
- W2008839148 cites W2077252668 @default.
- W2008839148 cites W2095974365 @default.
- W2008839148 cites W2098684142 @default.
- W2008839148 cites W2103559027 @default.
- W2008839148 cites W2112257127 @default.
- W2008839148 cites W2114581665 @default.
- W2008839148 cites W2116165535 @default.
- W2008839148 cites W2125527860 @default.
- W2008839148 cites W2159015910 @default.
- W2008839148 cites W2165731615 @default.
- W2008839148 cites W2167400582 @default.
- W2008839148 cites W2167851738 @default.
- W2008839148 doi "https://doi.org/10.1118/1.4736532" @default.
- W2008839148 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22894418" @default.
- W2008839148 hasPublicationYear "2012" @default.
- W2008839148 type Work @default.
- W2008839148 sameAs 2008839148 @default.
- W2008839148 citedByCount "43" @default.
- W2008839148 countsByYear W20088391482012 @default.
- W2008839148 countsByYear W20088391482013 @default.
- W2008839148 countsByYear W20088391482014 @default.
- W2008839148 countsByYear W20088391482015 @default.
- W2008839148 countsByYear W20088391482016 @default.
- W2008839148 countsByYear W20088391482017 @default.
- W2008839148 countsByYear W20088391482018 @default.
- W2008839148 countsByYear W20088391482019 @default.
- W2008839148 countsByYear W20088391482020 @default.
- W2008839148 countsByYear W20088391482021 @default.
- W2008839148 countsByYear W20088391482022 @default.
- W2008839148 countsByYear W20088391482023 @default.
- W2008839148 crossrefType "journal-article" @default.
- W2008839148 hasAuthorship W2008839148A5021236437 @default.
- W2008839148 hasAuthorship W2008839148A5021947113 @default.
- W2008839148 hasAuthorship W2008839148A5056906118 @default.
- W2008839148 hasAuthorship W2008839148A5060018462 @default.
- W2008839148 hasConcept C104293457 @default.
- W2008839148 hasConcept C106301342 @default.
- W2008839148 hasConcept C115961682 @default.
- W2008839148 hasConcept C120665830 @default.
- W2008839148 hasConcept C121332964 @default.
- W2008839148 hasConcept C138885662 @default.
- W2008839148 hasConcept C141379421 @default.
- W2008839148 hasConcept C153180895 @default.
- W2008839148 hasConcept C154945302 @default.
- W2008839148 hasConcept C2776401178 @default.
- W2008839148 hasConcept C31601959 @default.
- W2008839148 hasConcept C31972630 @default.
- W2008839148 hasConcept C41008148 @default.
- W2008839148 hasConcept C41895202 @default.
- W2008839148 hasConcept C52622490 @default.
- W2008839148 hasConcept C53533937 @default.
- W2008839148 hasConcept C62520636 @default.
- W2008839148 hasConcept C76155785 @default.
- W2008839148 hasConcept C94915269 @default.
- W2008839148 hasConceptScore W2008839148C104293457 @default.
- W2008839148 hasConceptScore W2008839148C106301342 @default.
- W2008839148 hasConceptScore W2008839148C115961682 @default.
- W2008839148 hasConceptScore W2008839148C120665830 @default.
- W2008839148 hasConceptScore W2008839148C121332964 @default.
- W2008839148 hasConceptScore W2008839148C138885662 @default.
- W2008839148 hasConceptScore W2008839148C141379421 @default.
- W2008839148 hasConceptScore W2008839148C153180895 @default.
- W2008839148 hasConceptScore W2008839148C154945302 @default.
- W2008839148 hasConceptScore W2008839148C2776401178 @default.
- W2008839148 hasConceptScore W2008839148C31601959 @default.
- W2008839148 hasConceptScore W2008839148C31972630 @default.
- W2008839148 hasConceptScore W2008839148C41008148 @default.
- W2008839148 hasConceptScore W2008839148C41895202 @default.
- W2008839148 hasConceptScore W2008839148C52622490 @default.
- W2008839148 hasConceptScore W2008839148C53533937 @default.
- W2008839148 hasConceptScore W2008839148C62520636 @default.
- W2008839148 hasConceptScore W2008839148C76155785 @default.
- W2008839148 hasConceptScore W2008839148C94915269 @default.
- W2008839148 hasIssue "8" @default.