Planning of skull reconstruction based on a statistical shape model combined with geometric morphometrics

Purpose Virtual reconstruction of large cranial defects is still a challenging task. The current reconstruction procedures depend on the surgeon’s experience and skills in planning the reconstruction based on mirroring and manual adaptation. The aim of this study is to propose and evaluate a compute...

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Veröffentlicht in:International journal for computer assisted radiology and surgery 2018-04, Vol.13 (4), p.519-529
Hauptverfasser: Fuessinger, Marc Anton, Schwarz, Steffen, Cornelius, Carl-Peter, Metzger, Marc Christian, Ellis, Edward, Probst, Florian, Semper-Hogg, Wiebke, Gass, Mathieu, Schlager, Stefan
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container_end_page 529
container_issue 4
container_start_page 519
container_title International journal for computer assisted radiology and surgery
container_volume 13
creator Fuessinger, Marc Anton
Schwarz, Steffen
Cornelius, Carl-Peter
Metzger, Marc Christian
Ellis, Edward
Probst, Florian
Semper-Hogg, Wiebke
Gass, Mathieu
Schlager, Stefan
description Purpose Virtual reconstruction of large cranial defects is still a challenging task. The current reconstruction procedures depend on the surgeon’s experience and skills in planning the reconstruction based on mirroring and manual adaptation. The aim of this study is to propose and evaluate a computer-based approach employing a statistical shape model (SSM) of the cranial vault. Methods An SSM was created based on 131 CT scans of pathologically unaffected adult crania. After segmentation, the resulting surface mesh of one patient was established as template and subsequently registered to the entire sample. Using the registered surface meshes, an SSM was generated capturing the shape variability of the cranial vault. The knowledge about this shape variation in healthy patients was used to estimate the missing parts. The accuracy of the reconstruction was evaluated by using 31 CT scans not included in the SSM. Both unilateral and bilateral bony defects were created on each skull. The reconstruction was performed using the current gold standard of mirroring the intact to the affected side, and the result was compared to the outcome of our proposed SSM-driven method. The accuracy of the reconstruction was determined by calculating the distances to the corresponding parts on the intact skull. Results While unilateral defects could be reconstructed with both methods, the reconstruction of bilateral defects was, for obvious reasons, only possible employing the SSM-based method. Comparing all groups, the analysis shows a significantly higher precision of the SSM group, with a mean error of 0.47 mm compared to the mirroring group which exhibited a mean error of 1.13 mm. Reconstructions of bilateral defects yielded only slightly higher estimation errors than those of unilateral defects. Conclusion The presented computer-based approach using SSM is a precise and simple tool in the field of computer-assisted surgery. It helps to reconstruct large-size defects of the skull considering the natural asymmetry of the cranium and is not limited to unilateral defects.
doi_str_mv 10.1007/s11548-017-1674-6
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The current reconstruction procedures depend on the surgeon’s experience and skills in planning the reconstruction based on mirroring and manual adaptation. The aim of this study is to propose and evaluate a computer-based approach employing a statistical shape model (SSM) of the cranial vault. Methods An SSM was created based on 131 CT scans of pathologically unaffected adult crania. After segmentation, the resulting surface mesh of one patient was established as template and subsequently registered to the entire sample. Using the registered surface meshes, an SSM was generated capturing the shape variability of the cranial vault. The knowledge about this shape variation in healthy patients was used to estimate the missing parts. The accuracy of the reconstruction was evaluated by using 31 CT scans not included in the SSM. Both unilateral and bilateral bony defects were created on each skull. The reconstruction was performed using the current gold standard of mirroring the intact to the affected side, and the result was compared to the outcome of our proposed SSM-driven method. The accuracy of the reconstruction was determined by calculating the distances to the corresponding parts on the intact skull. Results While unilateral defects could be reconstructed with both methods, the reconstruction of bilateral defects was, for obvious reasons, only possible employing the SSM-based method. Comparing all groups, the analysis shows a significantly higher precision of the SSM group, with a mean error of 0.47 mm compared to the mirroring group which exhibited a mean error of 1.13 mm. Reconstructions of bilateral defects yielded only slightly higher estimation errors than those of unilateral defects. Conclusion The presented computer-based approach using SSM is a precise and simple tool in the field of computer-assisted surgery. It helps to reconstruct large-size defects of the skull considering the natural asymmetry of the cranium and is not limited to unilateral defects.</description><identifier>ISSN: 1861-6410</identifier><identifier>EISSN: 1861-6429</identifier><identifier>DOI: 10.1007/s11548-017-1674-6</identifier><identifier>PMID: 29080945</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Accuracy ; Computed tomography ; Computer graphics ; Computer Imaging ; Computer Science ; Cranium ; Defects ; Finite element method ; Health Informatics ; Imaging ; Medical imaging ; Medicine ; Medicine &amp; Public Health ; Original Article ; Pattern Recognition and Graphics ; Radiology ; Skull ; Surgery ; Surgical mesh ; Vision</subject><ispartof>International journal for computer assisted radiology and surgery, 2018-04, Vol.13 (4), p.519-529</ispartof><rights>CARS 2017</rights><rights>Copyright Springer Science &amp; Business Media 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-be1bb5309842da175f2e33b71fcb5356abb2fcf1a455a45c2695a679c6b64ade3</citedby><cites>FETCH-LOGICAL-c372t-be1bb5309842da175f2e33b71fcb5356abb2fcf1a455a45c2695a679c6b64ade3</cites><orcidid>0000-0003-4359-0744</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11548-017-1674-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11548-017-1674-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29080945$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Fuessinger, Marc Anton</creatorcontrib><creatorcontrib>Schwarz, Steffen</creatorcontrib><creatorcontrib>Cornelius, Carl-Peter</creatorcontrib><creatorcontrib>Metzger, Marc Christian</creatorcontrib><creatorcontrib>Ellis, Edward</creatorcontrib><creatorcontrib>Probst, Florian</creatorcontrib><creatorcontrib>Semper-Hogg, Wiebke</creatorcontrib><creatorcontrib>Gass, Mathieu</creatorcontrib><creatorcontrib>Schlager, Stefan</creatorcontrib><title>Planning of skull reconstruction based on a statistical shape model combined with geometric morphometrics</title><title>International journal for computer assisted radiology and surgery</title><addtitle>Int J CARS</addtitle><addtitle>Int J Comput Assist Radiol Surg</addtitle><description>Purpose Virtual reconstruction of large cranial defects is still a challenging task. The current reconstruction procedures depend on the surgeon’s experience and skills in planning the reconstruction based on mirroring and manual adaptation. The aim of this study is to propose and evaluate a computer-based approach employing a statistical shape model (SSM) of the cranial vault. Methods An SSM was created based on 131 CT scans of pathologically unaffected adult crania. After segmentation, the resulting surface mesh of one patient was established as template and subsequently registered to the entire sample. Using the registered surface meshes, an SSM was generated capturing the shape variability of the cranial vault. The knowledge about this shape variation in healthy patients was used to estimate the missing parts. The accuracy of the reconstruction was evaluated by using 31 CT scans not included in the SSM. Both unilateral and bilateral bony defects were created on each skull. The reconstruction was performed using the current gold standard of mirroring the intact to the affected side, and the result was compared to the outcome of our proposed SSM-driven method. The accuracy of the reconstruction was determined by calculating the distances to the corresponding parts on the intact skull. Results While unilateral defects could be reconstructed with both methods, the reconstruction of bilateral defects was, for obvious reasons, only possible employing the SSM-based method. Comparing all groups, the analysis shows a significantly higher precision of the SSM group, with a mean error of 0.47 mm compared to the mirroring group which exhibited a mean error of 1.13 mm. Reconstructions of bilateral defects yielded only slightly higher estimation errors than those of unilateral defects. Conclusion The presented computer-based approach using SSM is a precise and simple tool in the field of computer-assisted surgery. 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The current reconstruction procedures depend on the surgeon’s experience and skills in planning the reconstruction based on mirroring and manual adaptation. The aim of this study is to propose and evaluate a computer-based approach employing a statistical shape model (SSM) of the cranial vault. Methods An SSM was created based on 131 CT scans of pathologically unaffected adult crania. After segmentation, the resulting surface mesh of one patient was established as template and subsequently registered to the entire sample. Using the registered surface meshes, an SSM was generated capturing the shape variability of the cranial vault. The knowledge about this shape variation in healthy patients was used to estimate the missing parts. The accuracy of the reconstruction was evaluated by using 31 CT scans not included in the SSM. Both unilateral and bilateral bony defects were created on each skull. The reconstruction was performed using the current gold standard of mirroring the intact to the affected side, and the result was compared to the outcome of our proposed SSM-driven method. The accuracy of the reconstruction was determined by calculating the distances to the corresponding parts on the intact skull. Results While unilateral defects could be reconstructed with both methods, the reconstruction of bilateral defects was, for obvious reasons, only possible employing the SSM-based method. Comparing all groups, the analysis shows a significantly higher precision of the SSM group, with a mean error of 0.47 mm compared to the mirroring group which exhibited a mean error of 1.13 mm. Reconstructions of bilateral defects yielded only slightly higher estimation errors than those of unilateral defects. Conclusion The presented computer-based approach using SSM is a precise and simple tool in the field of computer-assisted surgery. It helps to reconstruct large-size defects of the skull considering the natural asymmetry of the cranium and is not limited to unilateral defects.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>29080945</pmid><doi>10.1007/s11548-017-1674-6</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-4359-0744</orcidid></addata></record>
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source Springer Nature - Complete Springer Journals
subjects Accuracy
Computed tomography
Computer graphics
Computer Imaging
Computer Science
Cranium
Defects
Finite element method
Health Informatics
Imaging
Medical imaging
Medicine
Medicine & Public Health
Original Article
Pattern Recognition and Graphics
Radiology
Skull
Surgery
Surgical mesh
Vision
title Planning of skull reconstruction based on a statistical shape model combined with geometric morphometrics
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