In-vitro assessment of a registration protocol for image guided implant dentistry.
Identifieur interne : 003519 ( PubMed/Corpus ); précédent : 003518; suivant : 003520In-vitro assessment of a registration protocol for image guided implant dentistry.
Auteurs : W. Birkfellner ; P. Solar ; A. Gahleitner ; K. Huber ; F. Kainberger ; J. Kettenbach ; P. Homolka ; M. Diemling ; G. Watzek ; H. BergmannSource :
- Clinical oral implants research [ 0905-7161 ] ; 2001.
English descriptors
- KwdEn :
- Algorithms, Dental Implantation, Endosseous (instrumentation), Dental Implantation, Endosseous (methods), Dental Models, Humans, Image Processing, Computer-Assisted (instrumentation), Image Processing, Computer-Assisted (methods), Imaging, Three-Dimensional, Intraoperative Care, Intraoperative Complications (prevention & control), Jaw, Edentulous (surgery), Jaw, Edentulous, Partially (surgery), Radiographic Image Enhancement (instrumentation), Radiographic Image Enhancement (methods), Radiology, Interventional, Therapy, Computer-Assisted, Tomography, X-Ray Computed (instrumentation), Tomography, X-Ray Computed (methods), User-Computer Interface.
- MESH :
- instrumentation : Dental Implantation, Endosseous, Image Processing, Computer-Assisted, Radiographic Image Enhancement, Tomography, X-Ray Computed.
- methods : Dental Implantation, Endosseous, Image Processing, Computer-Assisted, Radiographic Image Enhancement, Tomography, X-Ray Computed.
- prevention & control : Intraoperative Complications.
- surgery : Jaw, Edentulous, Jaw, Edentulous, Partially.
- Algorithms, Dental Models, Humans, Imaging, Three-Dimensional, Intraoperative Care, Radiology, Interventional, Therapy, Computer-Assisted, User-Computer Interface.
Abstract
In this study a computer aided navigation technique for accurate positioning of oral implants was assessed. An optical tracking system with specially designed tools for monitoring the position of surgical instruments relative to the patient was used to register 5 partially or completely edentulous jaw models. Besides the accuracy of the tracking system, the precision of localizing a specific position on 3-dimensional preoperative imagery is governed by the registration algorithm which conveys the coordinate system of the preoperative computed tomography (CT) scan to the actual patient position. Two different point-to-point registration algorithms were compared for their suitability for this application. The accuracy was determined separately for the localization error of the position measurement hardware (fiducial localization error-FLE) and the error as reported by the registration algorithm (fiducial registration error-FRE). The overall error of the navigation procedure was determined as the localization error of additional landmarks (steel spheres, 0.5 mm diameter) after registration (target registration error-TRE). Images of the jaw models were obtained using a high resolution CT scan (1.5 mm slice thickness, 1 mm table feed, incremental scanning, 120 kV, 150 mAs, 512 x 512 matrix, FOV 120 mm). The accuracy of the position measurement probes was 0.69 +/- 0.15 mm (FLE). Using 3 implanted fiducial markers, FRE was 0.71 +/- 0.12 mm on average and 1.00 +/- 0.13 mm maximum. TRE was found to be 1.23 +/- 0.28 mm average and 1.87 +/- 0.47 mm maximum. Increasing the number of fiducial markers to a total of 5 did not significantly improve precision. Furthermore it was found that a registration algorithm based on solving an eigenvalue problem is the superior approach for point-to-point matching in terms of mathematical stability. The experimental results indicate that positioning accuracy of oral implants may benefit from computer aided intraoperative navigation. The accuracy achieved compares well to the resolution of the CT scan used. Further development of point-to-point/point-to-surface registration methods and tracking hardware has the potential to improve the precision of the method even further. Our system has potential to reduce the intraoperative risk of causing damage to critical anatomic structures, to minimize the efforts in prosthetic modelling, and to simplify the task of transferring preoperative planning data precisely to the operating room in general.
PubMed: 11168273
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pubmed:11168273Le document en format XML
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Huber</name></author><author><name sortKey="Kainberger, F" sort="Kainberger, F" uniqKey="Kainberger F" first="F" last="Kainberger">F. Kainberger</name></author><author><name sortKey="Kettenbach, J" sort="Kettenbach, J" uniqKey="Kettenbach J" first="J" last="Kettenbach">J. Kettenbach</name></author><author><name sortKey="Homolka, P" sort="Homolka, P" uniqKey="Homolka P" first="P" last="Homolka">P. Homolka</name></author><author><name sortKey="Diemling, M" sort="Diemling, M" uniqKey="Diemling M" first="M" last="Diemling">M. Diemling</name></author><author><name sortKey="Watzek, G" sort="Watzek, G" uniqKey="Watzek G" first="G" last="Watzek">G. Watzek</name></author><author><name sortKey="Bergmann, H" sort="Bergmann, H" uniqKey="Bergmann H" first="H" last="Bergmann">H. Bergmann</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2001">2001</date><idno type="RBID">pubmed:11168273</idno><idno type="pmid">11168273</idno><idno type="wicri:Area/PubMed/Corpus">003519</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">003519</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">In-vitro assessment of a registration protocol for image guided implant dentistry.</title><author><name sortKey="Birkfellner, W" sort="Birkfellner, W" uniqKey="Birkfellner W" first="W" last="Birkfellner">W. Birkfellner</name><affiliation><nlm:affiliation>Department of Biomedical Engineering and Physics, University of Vienna, General Hospital Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria. Wolfgang.Birkfellner@univie.ac.at</nlm:affiliation></affiliation></author><author><name sortKey="Solar, P" sort="Solar, P" uniqKey="Solar P" first="P" last="Solar">P. Solar</name></author><author><name sortKey="Gahleitner, A" sort="Gahleitner, A" uniqKey="Gahleitner A" first="A" last="Gahleitner">A. Gahleitner</name></author><author><name sortKey="Huber, K" sort="Huber, K" uniqKey="Huber K" first="K" last="Huber">K. Huber</name></author><author><name sortKey="Kainberger, F" sort="Kainberger, F" uniqKey="Kainberger F" first="F" last="Kainberger">F. Kainberger</name></author><author><name sortKey="Kettenbach, J" sort="Kettenbach, J" uniqKey="Kettenbach J" first="J" last="Kettenbach">J. Kettenbach</name></author><author><name sortKey="Homolka, P" sort="Homolka, P" uniqKey="Homolka P" first="P" last="Homolka">P. Homolka</name></author><author><name sortKey="Diemling, M" sort="Diemling, M" uniqKey="Diemling M" first="M" last="Diemling">M. Diemling</name></author><author><name sortKey="Watzek, G" sort="Watzek, G" uniqKey="Watzek G" first="G" last="Watzek">G. Watzek</name></author><author><name sortKey="Bergmann, H" sort="Bergmann, H" uniqKey="Bergmann H" first="H" last="Bergmann">H. Bergmann</name></author></analytic><series><title level="j">Clinical oral implants research</title><idno type="ISSN">0905-7161</idno><imprint><date when="2001" type="published">2001</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms</term><term>Dental Implantation, Endosseous (instrumentation)</term><term>Dental Implantation, Endosseous (methods)</term><term>Dental Models</term><term>Humans</term><term>Image Processing, Computer-Assisted (instrumentation)</term><term>Image Processing, Computer-Assisted (methods)</term><term>Imaging, Three-Dimensional</term><term>Intraoperative Care</term><term>Intraoperative Complications (prevention & control)</term><term>Jaw, Edentulous (surgery)</term><term>Jaw, Edentulous, Partially (surgery)</term><term>Radiographic Image Enhancement (instrumentation)</term><term>Radiographic Image Enhancement (methods)</term><term>Radiology, Interventional</term><term>Therapy, Computer-Assisted</term><term>Tomography, X-Ray Computed (instrumentation)</term><term>Tomography, X-Ray Computed (methods)</term><term>User-Computer Interface</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Dental Implantation, Endosseous</term><term>Image Processing, Computer-Assisted</term><term>Radiographic Image Enhancement</term><term>Tomography, X-Ray Computed</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Dental Implantation, Endosseous</term><term>Image Processing, Computer-Assisted</term><term>Radiographic Image Enhancement</term><term>Tomography, X-Ray Computed</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Intraoperative Complications</term></keywords><keywords scheme="MESH" qualifier="surgery" xml:lang="en"><term>Jaw, Edentulous</term><term>Jaw, Edentulous, Partially</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Algorithms</term><term>Dental Models</term><term>Humans</term><term>Imaging, Three-Dimensional</term><term>Intraoperative Care</term><term>Radiology, Interventional</term><term>Therapy, Computer-Assisted</term><term>User-Computer Interface</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In this study a computer aided navigation technique for accurate positioning of oral implants was assessed. An optical tracking system with specially designed tools for monitoring the position of surgical instruments relative to the patient was used to register 5 partially or completely edentulous jaw models. Besides the accuracy of the tracking system, the precision of localizing a specific position on 3-dimensional preoperative imagery is governed by the registration algorithm which conveys the coordinate system of the preoperative computed tomography (CT) scan to the actual patient position. Two different point-to-point registration algorithms were compared for their suitability for this application. The accuracy was determined separately for the localization error of the position measurement hardware (fiducial localization error-FLE) and the error as reported by the registration algorithm (fiducial registration error-FRE). The overall error of the navigation procedure was determined as the localization error of additional landmarks (steel spheres, 0.5 mm diameter) after registration (target registration error-TRE). Images of the jaw models were obtained using a high resolution CT scan (1.5 mm slice thickness, 1 mm table feed, incremental scanning, 120 kV, 150 mAs, 512 x 512 matrix, FOV 120 mm). The accuracy of the position measurement probes was 0.69 +/- 0.15 mm (FLE). Using 3 implanted fiducial markers, FRE was 0.71 +/- 0.12 mm on average and 1.00 +/- 0.13 mm maximum. TRE was found to be 1.23 +/- 0.28 mm average and 1.87 +/- 0.47 mm maximum. Increasing the number of fiducial markers to a total of 5 did not significantly improve precision. Furthermore it was found that a registration algorithm based on solving an eigenvalue problem is the superior approach for point-to-point matching in terms of mathematical stability. The experimental results indicate that positioning accuracy of oral implants may benefit from computer aided intraoperative navigation. The accuracy achieved compares well to the resolution of the CT scan used. Further development of point-to-point/point-to-surface registration methods and tracking hardware has the potential to improve the precision of the method even further. Our system has potential to reduce the intraoperative risk of causing damage to critical anatomic structures, to minimize the efforts in prosthetic modelling, and to simplify the task of transferring preoperative planning data precisely to the operating room in general.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">11168273</PMID><DateCompleted><Year>2001</Year><Month>03</Month><Day>29</Day></DateCompleted><DateRevised><Year>2006</Year><Month>11</Month><Day>15</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0905-7161</ISSN><JournalIssue CitedMedium="Print"><Volume>12</Volume><Issue>1</Issue><PubDate><Year>2001</Year><Month>Feb</Month></PubDate></JournalIssue><Title>Clinical oral implants research</Title><ISOAbbreviation>Clin Oral Implants Res</ISOAbbreviation></Journal><ArticleTitle>In-vitro assessment of a registration protocol for image guided implant dentistry.</ArticleTitle><Pagination><MedlinePgn>69-78</MedlinePgn></Pagination><Abstract><AbstractText>In this study a computer aided navigation technique for accurate positioning of oral implants was assessed. An optical tracking system with specially designed tools for monitoring the position of surgical instruments relative to the patient was used to register 5 partially or completely edentulous jaw models. Besides the accuracy of the tracking system, the precision of localizing a specific position on 3-dimensional preoperative imagery is governed by the registration algorithm which conveys the coordinate system of the preoperative computed tomography (CT) scan to the actual patient position. Two different point-to-point registration algorithms were compared for their suitability for this application. The accuracy was determined separately for the localization error of the position measurement hardware (fiducial localization error-FLE) and the error as reported by the registration algorithm (fiducial registration error-FRE). The overall error of the navigation procedure was determined as the localization error of additional landmarks (steel spheres, 0.5 mm diameter) after registration (target registration error-TRE). Images of the jaw models were obtained using a high resolution CT scan (1.5 mm slice thickness, 1 mm table feed, incremental scanning, 120 kV, 150 mAs, 512 x 512 matrix, FOV 120 mm). The accuracy of the position measurement probes was 0.69 +/- 0.15 mm (FLE). Using 3 implanted fiducial markers, FRE was 0.71 +/- 0.12 mm on average and 1.00 +/- 0.13 mm maximum. TRE was found to be 1.23 +/- 0.28 mm average and 1.87 +/- 0.47 mm maximum. Increasing the number of fiducial markers to a total of 5 did not significantly improve precision. Furthermore it was found that a registration algorithm based on solving an eigenvalue problem is the superior approach for point-to-point matching in terms of mathematical stability. The experimental results indicate that positioning accuracy of oral implants may benefit from computer aided intraoperative navigation. The accuracy achieved compares well to the resolution of the CT scan used. Further development of point-to-point/point-to-surface registration methods and tracking hardware has the potential to improve the precision of the method even further. Our system has potential to reduce the intraoperative risk of causing damage to critical anatomic structures, to minimize the efforts in prosthetic modelling, and to simplify the task of transferring preoperative planning data precisely to the operating room in general.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Birkfellner</LastName><ForeName>W</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>Department of Biomedical Engineering and Physics, University of Vienna, General Hospital Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria. Wolfgang.Birkfellner@univie.ac.at</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Solar</LastName><ForeName>P</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Gahleitner</LastName><ForeName>A</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Huber</LastName><ForeName>K</ForeName><Initials>K</Initials></Author><Author ValidYN="Y"><LastName>Kainberger</LastName><ForeName>F</ForeName><Initials>F</Initials></Author><Author ValidYN="Y"><LastName>Kettenbach</LastName><ForeName>J</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Homolka</LastName><ForeName>P</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Diemling</LastName><ForeName>M</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Watzek</LastName><ForeName>G</ForeName><Initials>G</Initials></Author><Author ValidYN="Y"><LastName>Bergmann</LastName><ForeName>H</ForeName><Initials>H</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D003160">Comparative Study</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>Denmark</Country><MedlineTA>Clin Oral Implants Res</MedlineTA><NlmUniqueID>9105713</NlmUniqueID><ISSNLinking>0905-7161</ISSNLinking></MedlineJournalInfo><CitationSubset>D</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000465" MajorTopicYN="N">Algorithms</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D003758" MajorTopicYN="Y">Dental Implantation, Endosseous</DescriptorName><QualifierName UI="Q000295" MajorTopicYN="N">instrumentation</QualifierName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003765" MajorTopicYN="N">Dental Models</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007091" MajorTopicYN="N">Image Processing, Computer-Assisted</DescriptorName><QualifierName UI="Q000295" MajorTopicYN="N">instrumentation</QualifierName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D021621" MajorTopicYN="N">Imaging, Three-Dimensional</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007430" MajorTopicYN="N">Intraoperative Care</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007431" MajorTopicYN="N">Intraoperative Complications</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007575" MajorTopicYN="N">Jaw, Edentulous</DescriptorName><QualifierName UI="Q000601" MajorTopicYN="N">surgery</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007576" MajorTopicYN="N">Jaw, Edentulous, Partially</DescriptorName><QualifierName UI="Q000601" MajorTopicYN="N">surgery</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011856" MajorTopicYN="N">Radiographic Image Enhancement</DescriptorName><QualifierName UI="Q000295" MajorTopicYN="N">instrumentation</QualifierName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D015642" MajorTopicYN="N">Radiology, Interventional</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013813" MajorTopicYN="Y">Therapy, Computer-Assisted</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014057" MajorTopicYN="N">Tomography, X-Ray Computed</DescriptorName><QualifierName UI="Q000295" MajorTopicYN="N">instrumentation</QualifierName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014584" MajorTopicYN="Y">User-Computer Interface</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2001</Year><Month>2</Month><Day>13</Day><Hour>11</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2001</Year><Month>4</Month><Day>3</Day><Hour>10</Hour><Minute>1</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2001</Year><Month>2</Month><Day>13</Day><Hour>11</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">11168273</ArticleId><ArticleId IdType="pii">clr120109</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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