Report on a novel bone registration method: A rapid, accurate, and radiation-free technique for computer- and robotic-assisted orthopedic surgeries
Computer- and robotic-assisted technologies have recently been introduced into orthopedic surgery to improve accuracy. Each requires intraoperative “bone registration,” but existing methods are time consuming, often inaccurate, and/or require bulky and costly equipment that produces substantial radi...
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Veröffentlicht in: | Journal of orthopaedics 2021-01, Vol.23, p.227-232 |
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creator | He, Guangyu Mustahsan, Vamiq M. Bielski, Michael R. Kao, Imin Khan, Fazel A. |
description | Computer- and robotic-assisted technologies have recently been introduced into orthopedic surgery to improve accuracy. Each requires intraoperative “bone registration,” but existing methods are time consuming, often inaccurate, and/or require bulky and costly equipment that produces substantial radiation.
We developed a novel method of bone registration using a compact 3D structured light surface scanner that can scan thousands of points simultaneously without any ionizing radiation.
Visible light is projected in a specific pattern onto a 3 × 3 cm2 area of exposed bone, which deforms the pattern in a way determined by the local bone geometry. A quantitative analysis reconstructs this local geometry and compares it to the preoperative imaging, thereby effecting rapid bone registration.
A registration accuracy study using our novel method was conducted on 24 CT-scanned femur Sawbones®. We simulated exposures typically seen during knee/hip arthroplasty and common bone tumor resections. The registration accuracy of our technique was quantified by measuring the discrepancy of known points (i.e., pre-drilled holes) on the bone.
Our technique demonstrated a registration accuracy of 0.44 ± 0.22 mm. This compared favorably with literature-reported values of 0.68 ± 0.14 mm (p-value = 0.001) for the paired-point technique13 and 0.86 ± 0.38 mm for the intraoperative CT based techniques 14 (not enough reported data to calculate p-value).
We have developed a novel method of bone registration for computer and robotic-assisted surgery using 3D surface scanning technology that is rapid, compact, and radiation-free. We have demonstrated increased accuracy compared to existing methods (using historical controls). |
doi_str_mv | 10.1016/j.jor.2021.01.010 |
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We developed a novel method of bone registration using a compact 3D structured light surface scanner that can scan thousands of points simultaneously without any ionizing radiation.
Visible light is projected in a specific pattern onto a 3 × 3 cm2 area of exposed bone, which deforms the pattern in a way determined by the local bone geometry. A quantitative analysis reconstructs this local geometry and compares it to the preoperative imaging, thereby effecting rapid bone registration.
A registration accuracy study using our novel method was conducted on 24 CT-scanned femur Sawbones®. We simulated exposures typically seen during knee/hip arthroplasty and common bone tumor resections. The registration accuracy of our technique was quantified by measuring the discrepancy of known points (i.e., pre-drilled holes) on the bone.
Our technique demonstrated a registration accuracy of 0.44 ± 0.22 mm. This compared favorably with literature-reported values of 0.68 ± 0.14 mm (p-value = 0.001) for the paired-point technique13 and 0.86 ± 0.38 mm for the intraoperative CT based techniques 14 (not enough reported data to calculate p-value).
We have developed a novel method of bone registration for computer and robotic-assisted surgery using 3D surface scanning technology that is rapid, compact, and radiation-free. We have demonstrated increased accuracy compared to existing methods (using historical controls).</description><identifier>ISSN: 0972-978X</identifier><identifier>EISSN: 0972-978X</identifier><identifier>DOI: 10.1016/j.jor.2021.01.010</identifier><identifier>PMID: 33613005</identifier><language>eng</language><publisher>India: Elsevier B.V</publisher><subject>Bone registration ; Computer-assist surgery ; Robot-assist surgery ; Structured-light Scanning ; Surgical technique</subject><ispartof>Journal of orthopaedics, 2021-01, Vol.23, p.227-232</ispartof><rights>2021 Professor P K Surendran Memorial Education Foundation</rights><rights>2021 Professor P K Surendran Memorial Education Foundation. Published by Elsevier B.V. All rights reserved.</rights><rights>2021 Professor P K Surendran Memorial Education Foundation. Published by Elsevier B.V. All rights reserved. 2021 Professor P K Surendran Memorial Education Foundation</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c418t-f72484b0211aff97bf53e97e786f17f522ec4016286b8b5acf73ef80b01d23</citedby><cites>FETCH-LOGICAL-c418t-f72484b0211aff97bf53e97e786f17f522ec4016286b8b5acf73ef80b01d23</cites><orcidid>0000-0001-5483-6063 ; 0000-0003-1658-9166 ; 0000-0003-4149-322X ; 0000-0002-2878-5108</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873346/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7873346/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27923,27924,53790,53792</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33613005$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>He, Guangyu</creatorcontrib><creatorcontrib>Mustahsan, Vamiq M.</creatorcontrib><creatorcontrib>Bielski, Michael R.</creatorcontrib><creatorcontrib>Kao, Imin</creatorcontrib><creatorcontrib>Khan, Fazel A.</creatorcontrib><title>Report on a novel bone registration method: A rapid, accurate, and radiation-free technique for computer- and robotic-assisted orthopedic surgeries</title><title>Journal of orthopaedics</title><addtitle>J Orthop</addtitle><description>Computer- and robotic-assisted technologies have recently been introduced into orthopedic surgery to improve accuracy. Each requires intraoperative “bone registration,” but existing methods are time consuming, often inaccurate, and/or require bulky and costly equipment that produces substantial radiation.
We developed a novel method of bone registration using a compact 3D structured light surface scanner that can scan thousands of points simultaneously without any ionizing radiation.
Visible light is projected in a specific pattern onto a 3 × 3 cm2 area of exposed bone, which deforms the pattern in a way determined by the local bone geometry. A quantitative analysis reconstructs this local geometry and compares it to the preoperative imaging, thereby effecting rapid bone registration.
A registration accuracy study using our novel method was conducted on 24 CT-scanned femur Sawbones®. We simulated exposures typically seen during knee/hip arthroplasty and common bone tumor resections. The registration accuracy of our technique was quantified by measuring the discrepancy of known points (i.e., pre-drilled holes) on the bone.
Our technique demonstrated a registration accuracy of 0.44 ± 0.22 mm. This compared favorably with literature-reported values of 0.68 ± 0.14 mm (p-value = 0.001) for the paired-point technique13 and 0.86 ± 0.38 mm for the intraoperative CT based techniques 14 (not enough reported data to calculate p-value).
We have developed a novel method of bone registration for computer and robotic-assisted surgery using 3D surface scanning technology that is rapid, compact, and radiation-free. We have demonstrated increased accuracy compared to existing methods (using historical controls).</description><subject>Bone registration</subject><subject>Computer-assist surgery</subject><subject>Robot-assist surgery</subject><subject>Structured-light Scanning</subject><subject>Surgical technique</subject><issn>0972-978X</issn><issn>0972-978X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9UdtKAzEQDaJ4_wBfJB_g1lx2N1sFQcQbCIL44FvIJpM2pd2sSbbgd_jDplZFX4SBDDlnznDmIHREyYgSWp_ORjMfRowwOiKrIhtol4wFK8aiedn81e-gvRhnhHBW1Xwb7XBeU05ItYven6D3IWHfYYU7v4Q5bn0HOMDExRRUchlZQJp6c4YvcVC9MydYaT1kDHLXmfxp3CexsAEAJ9DTzr0OgK0PWPtFPyQIxZrqW5-cLlSMWR4MzrunvgfjNI5DmEBwEA_QllXzCIdf7z56url-vrorHh5v768uHwpd0iYVVrCyKdvsniprx6K1FYexANHUlgpbMQa6zGdiTd02baW0FRxsQ1pCDeP76GIt2g_tAoyGLrudyz64hQpv0isn_yKdm8qJX0rRCM7LOgvQtYAOPsYA9meWErmKR85kjkeu4pFkVSTPHP9e-jPxnUcmnK8JkH0vHQQZtYNO5wMF0Eka7_6R_wBhGaVN</recordid><startdate>20210101</startdate><enddate>20210101</enddate><creator>He, Guangyu</creator><creator>Mustahsan, Vamiq M.</creator><creator>Bielski, Michael R.</creator><creator>Kao, Imin</creator><creator>Khan, Fazel A.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-5483-6063</orcidid><orcidid>https://orcid.org/0000-0003-1658-9166</orcidid><orcidid>https://orcid.org/0000-0003-4149-322X</orcidid><orcidid>https://orcid.org/0000-0002-2878-5108</orcidid></search><sort><creationdate>20210101</creationdate><title>Report on a novel bone registration method: A rapid, accurate, and radiation-free technique for computer- and robotic-assisted orthopedic surgeries</title><author>He, Guangyu ; Mustahsan, Vamiq M. ; Bielski, Michael R. ; Kao, Imin ; Khan, Fazel A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c418t-f72484b0211aff97bf53e97e786f17f522ec4016286b8b5acf73ef80b01d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Bone registration</topic><topic>Computer-assist surgery</topic><topic>Robot-assist surgery</topic><topic>Structured-light Scanning</topic><topic>Surgical technique</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>He, Guangyu</creatorcontrib><creatorcontrib>Mustahsan, Vamiq M.</creatorcontrib><creatorcontrib>Bielski, Michael R.</creatorcontrib><creatorcontrib>Kao, Imin</creatorcontrib><creatorcontrib>Khan, Fazel A.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of orthopaedics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>He, Guangyu</au><au>Mustahsan, Vamiq M.</au><au>Bielski, Michael R.</au><au>Kao, Imin</au><au>Khan, Fazel A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Report on a novel bone registration method: A rapid, accurate, and radiation-free technique for computer- and robotic-assisted orthopedic surgeries</atitle><jtitle>Journal of orthopaedics</jtitle><addtitle>J Orthop</addtitle><date>2021-01-01</date><risdate>2021</risdate><volume>23</volume><spage>227</spage><epage>232</epage><pages>227-232</pages><issn>0972-978X</issn><eissn>0972-978X</eissn><abstract>Computer- and robotic-assisted technologies have recently been introduced into orthopedic surgery to improve accuracy. Each requires intraoperative “bone registration,” but existing methods are time consuming, often inaccurate, and/or require bulky and costly equipment that produces substantial radiation.
We developed a novel method of bone registration using a compact 3D structured light surface scanner that can scan thousands of points simultaneously without any ionizing radiation.
Visible light is projected in a specific pattern onto a 3 × 3 cm2 area of exposed bone, which deforms the pattern in a way determined by the local bone geometry. A quantitative analysis reconstructs this local geometry and compares it to the preoperative imaging, thereby effecting rapid bone registration.
A registration accuracy study using our novel method was conducted on 24 CT-scanned femur Sawbones®. We simulated exposures typically seen during knee/hip arthroplasty and common bone tumor resections. The registration accuracy of our technique was quantified by measuring the discrepancy of known points (i.e., pre-drilled holes) on the bone.
Our technique demonstrated a registration accuracy of 0.44 ± 0.22 mm. This compared favorably with literature-reported values of 0.68 ± 0.14 mm (p-value = 0.001) for the paired-point technique13 and 0.86 ± 0.38 mm for the intraoperative CT based techniques 14 (not enough reported data to calculate p-value).
We have developed a novel method of bone registration for computer and robotic-assisted surgery using 3D surface scanning technology that is rapid, compact, and radiation-free. We have demonstrated increased accuracy compared to existing methods (using historical controls).</abstract><cop>India</cop><pub>Elsevier B.V</pub><pmid>33613005</pmid><doi>10.1016/j.jor.2021.01.010</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0001-5483-6063</orcidid><orcidid>https://orcid.org/0000-0003-1658-9166</orcidid><orcidid>https://orcid.org/0000-0003-4149-322X</orcidid><orcidid>https://orcid.org/0000-0002-2878-5108</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Bone registration Computer-assist surgery Robot-assist surgery Structured-light Scanning Surgical technique |
title | Report on a novel bone registration method: A rapid, accurate, and radiation-free technique for computer- and robotic-assisted orthopedic surgeries |
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