Effects of projection geometry and number of projections on accuracy of depth discrimination with tuned-aperture computed tomography in dentistry.
Identifieur interne : 009D50 ( Ncbi/Curation ); précédent : 009D49; suivant : 009D51Effects of projection geometry and number of projections on accuracy of depth discrimination with tuned-aperture computed tomography in dentistry.
Auteurs : K. Yamamoto [États-Unis] ; A G Farman ; R L Webber ; R A Horton ; K. KuroyanagiSource :
- Oral surgery, oral medicine, oral pathology, oral radiology, and endodontics [ 1079-2104 ] ; 1998.
Descripteurs français
- KwdFr :
- Acier, Algorithmes, Analyse de variance, Biais de l'observateur, Humains, Mandibule (imagerie diagnostique), Mâchoire partiellement édentée (imagerie diagnostique), Perception de la profondeur, Processus alvéolaire (imagerie diagnostique), Prothèses et implants, Radiographie dentaire (), Tomodensitométrie (), Traitement d'image par ordinateur ().
- MESH :
English descriptors
- KwdEn :
- Algorithms, Alveolar Process (diagnostic imaging), Analysis of Variance, Depth Perception, Humans, Image Processing, Computer-Assisted (methods), Jaw, Edentulous, Partially (diagnostic imaging), Mandible (diagnostic imaging), Observer Variation, Prostheses and Implants, Radiography, Dental (methods), Steel, Tomography, X-Ray Computed (methods).
- MESH :
- chemical : Steel.
- diagnostic imaging : Alveolar Process, Jaw, Edentulous, Partially, Mandible.
- methods : Image Processing, Computer-Assisted, Radiography, Dental, Tomography, X-Ray Computed.
- Algorithms, Analysis of Variance, Depth Perception, Humans, Observer Variation, Prostheses and Implants.
Abstract
The purpose of this study was to determine the degree to which the number and angular disparity of component projections influence depth discrimination with tuned-aperture computed tomography.
PubMed: 9690258
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pubmed:9690258Le document en format XML
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Yamamoto</name><affiliation wicri:level="1"><nlm:affiliation>School of Dentistry, University of Louisville, Ky., USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>School of Dentistry, University of Louisville, Ky.</wicri:regionArea><wicri:noRegion>Ky.</wicri:noRegion></affiliation></author><author><name sortKey="Farman, A G" sort="Farman, A G" uniqKey="Farman A" first="A G" last="Farman">A G Farman</name></author><author><name sortKey="Webber, R L" sort="Webber, R L" uniqKey="Webber R" first="R L" last="Webber">R L Webber</name></author><author><name sortKey="Horton, R A" sort="Horton, R A" uniqKey="Horton R" first="R A" last="Horton">R A Horton</name></author><author><name sortKey="Kuroyanagi, K" sort="Kuroyanagi, K" uniqKey="Kuroyanagi K" first="K" last="Kuroyanagi">K. 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Yamamoto</name><affiliation wicri:level="1"><nlm:affiliation>School of Dentistry, University of Louisville, Ky., USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>School of Dentistry, University of Louisville, Ky.</wicri:regionArea><wicri:noRegion>Ky.</wicri:noRegion></affiliation></author><author><name sortKey="Farman, A G" sort="Farman, A G" uniqKey="Farman A" first="A G" last="Farman">A G Farman</name></author><author><name sortKey="Webber, R L" sort="Webber, R L" uniqKey="Webber R" first="R L" last="Webber">R L Webber</name></author><author><name sortKey="Horton, R A" sort="Horton, R A" uniqKey="Horton R" first="R A" last="Horton">R A Horton</name></author><author><name sortKey="Kuroyanagi, K" sort="Kuroyanagi, K" uniqKey="Kuroyanagi K" first="K" last="Kuroyanagi">K. Kuroyanagi</name></author></analytic><series><title level="j">Oral surgery, oral medicine, oral pathology, oral radiology, and endodontics</title><idno type="ISSN">1079-2104</idno><imprint><date when="1998" type="published">1998</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms</term><term>Alveolar Process (diagnostic imaging)</term><term>Analysis of Variance</term><term>Depth Perception</term><term>Humans</term><term>Image Processing, Computer-Assisted (methods)</term><term>Jaw, Edentulous, Partially (diagnostic imaging)</term><term>Mandible (diagnostic imaging)</term><term>Observer Variation</term><term>Prostheses and Implants</term><term>Radiography, Dental (methods)</term><term>Steel</term><term>Tomography, X-Ray Computed (methods)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Acier</term><term>Algorithmes</term><term>Analyse de variance</term><term>Biais de l'observateur</term><term>Humains</term><term>Mandibule (imagerie diagnostique)</term><term>Mâchoire partiellement édentée (imagerie diagnostique)</term><term>Perception de la profondeur</term><term>Processus alvéolaire (imagerie diagnostique)</term><term>Prothèses et implants</term><term>Radiographie dentaire ()</term><term>Tomodensitométrie ()</term><term>Traitement d'image par ordinateur ()</term></keywords><keywords scheme="MESH" type="chemical" xml:lang="en"><term>Steel</term></keywords><keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Alveolar Process</term><term>Jaw, Edentulous, Partially</term><term>Mandible</term></keywords><keywords scheme="MESH" qualifier="imagerie diagnostique" xml:lang="fr"><term>Mandibule</term><term>Mâchoire partiellement édentée</term><term>Processus alvéolaire</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Image Processing, Computer-Assisted</term><term>Radiography, Dental</term><term>Tomography, X-Ray Computed</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Algorithms</term><term>Analysis of Variance</term><term>Depth Perception</term><term>Humans</term><term>Observer Variation</term><term>Prostheses and Implants</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Acier</term><term>Algorithmes</term><term>Analyse de variance</term><term>Biais de l'observateur</term><term>Humains</term><term>Perception de la profondeur</term><term>Prothèses et implants</term><term>Radiographie dentaire</term><term>Tomodensitométrie</term><term>Traitement d'image par ordinateur</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The purpose of this study was to determine the degree to which the number and angular disparity of component projections influence depth discrimination with tuned-aperture computed tomography.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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