A novel, inexpensive method of image coregistration for applications in image-guided surgery using augmented reality
Augmented reality (AR) is a technique in which an overlay of a virtual image to a live picture is performed to create a new image in which both original images coexist as a single image. This results in the visualization of internal structures through overlying tissues. The objective was to describe...
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Veröffentlicht in: | Neurosurgery 2007-04, Vol.60 (4), p.366-372 |
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creator | LOVO, Eduardo E QUINTANA, Juan C PUEBLA, Manuel C TORREALBA, Gonzalo SANTOS, José L LIRA, Isidro H TAGLE, Patricio MATTOS, Joao Paulo DE OLIVEIRA, Evandro SPETZLER, Robert F |
description | Augmented reality (AR) is a technique in which an overlay of a virtual image to a live picture is performed to create a new image in which both original images coexist as a single image. This results in the visualization of internal structures through overlying tissues. The objective was to describe an easy, inexpensive, and successful method to coregister with AR in an image-guided surgery setting using the resources at hand.
Cortical information was obtained with a volumetric acquisition of 200 0.8-mm thick, cerebral magnetic resonance imaging scans in an axial T1-weighted sequence. For the venous anatomy, a contrast phase at 7 mm/s velocity was used. This data was reconstructed in a three-dimensional fashion using MRIcro software (v. 1.37, freeware, courtesy of Chris Rorden) and was overlaid to a digital image of the cerebral cortex either pre- or intraoperatively.
Eight patients were studied. There was an adequate coregistration in seven of the patients as confirmed by intraoperative ultrasound, frame-based stereotaxy, or obvious anatomic homology between the three-dimensional magnetic resonance imaging scan virtual reconstruction and the live image obtained during surgery. AR was not possible in one case of a cerebellar lesion.
AR coregistration capabilities are adequate when revised by other intraoperative guidance devices. When performed with "freeware" software and conventional digital cameras, it is relatively inexpensive, which makes it a potential tool for surgical planning and noncontinuous intraoperative guidance in neurosurgery. Its largest drawbacks are the inability to function in deep-seated lesions and its lack of tracking devices, which gives it a noncontinuous coregistration nature. |
doi_str_mv | 10.1227/01.neu.0000255360.32689.fa |
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Cortical information was obtained with a volumetric acquisition of 200 0.8-mm thick, cerebral magnetic resonance imaging scans in an axial T1-weighted sequence. For the venous anatomy, a contrast phase at 7 mm/s velocity was used. This data was reconstructed in a three-dimensional fashion using MRIcro software (v. 1.37, freeware, courtesy of Chris Rorden) and was overlaid to a digital image of the cerebral cortex either pre- or intraoperatively.
Eight patients were studied. There was an adequate coregistration in seven of the patients as confirmed by intraoperative ultrasound, frame-based stereotaxy, or obvious anatomic homology between the three-dimensional magnetic resonance imaging scan virtual reconstruction and the live image obtained during surgery. AR was not possible in one case of a cerebellar lesion.
AR coregistration capabilities are adequate when revised by other intraoperative guidance devices. When performed with "freeware" software and conventional digital cameras, it is relatively inexpensive, which makes it a potential tool for surgical planning and noncontinuous intraoperative guidance in neurosurgery. Its largest drawbacks are the inability to function in deep-seated lesions and its lack of tracking devices, which gives it a noncontinuous coregistration nature.</description><identifier>ISSN: 0148-396X</identifier><identifier>ISSN: 2332-4252</identifier><identifier>EISSN: 1524-4040</identifier><identifier>DOI: 10.1227/01.neu.0000255360.32689.fa</identifier><identifier>PMID: 17415176</identifier><identifier>CODEN: NRSRDY</identifier><language>eng</language><publisher>Hagerstown, MD: Lippincott Williams & Wilkins</publisher><subject>Adolescent ; Adult ; Aged ; Biological and medical sciences ; Brain Infarction - diagnosis ; Brain Infarction - surgery ; Brain Neoplasms - diagnosis ; Brain Neoplasms - surgery ; Female ; Humans ; Image Enhancement - instrumentation ; Image Enhancement - methods ; Imaging, Three-Dimensional ; Magnetic Resonance Imaging ; Male ; Medical sciences ; Middle Aged ; Neurosurgery ; Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases ; Surgery, Computer-Assisted - economics ; Surgery, Computer-Assisted - instrumentation ; Surgery, Computer-Assisted - methods ; Tomography, X-Ray Computed ; User-Computer Interface</subject><ispartof>Neurosurgery, 2007-04, Vol.60 (4), p.366-372</ispartof><rights>2007 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c522t-91ea9e8e20ec9f9325e358887f9f11067d8c7c339bd234d7e731f5b2ce6e82bf3</citedby><cites>FETCH-LOGICAL-c522t-91ea9e8e20ec9f9325e358887f9f11067d8c7c339bd234d7e731f5b2ce6e82bf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18639653$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17415176$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>LOVO, Eduardo E</creatorcontrib><creatorcontrib>QUINTANA, Juan C</creatorcontrib><creatorcontrib>PUEBLA, Manuel C</creatorcontrib><creatorcontrib>TORREALBA, Gonzalo</creatorcontrib><creatorcontrib>SANTOS, José L</creatorcontrib><creatorcontrib>LIRA, Isidro H</creatorcontrib><creatorcontrib>TAGLE, Patricio</creatorcontrib><creatorcontrib>MATTOS, Joao Paulo</creatorcontrib><creatorcontrib>DE OLIVEIRA, Evandro</creatorcontrib><creatorcontrib>SPETZLER, Robert F</creatorcontrib><title>A novel, inexpensive method of image coregistration for applications in image-guided surgery using augmented reality</title><title>Neurosurgery</title><addtitle>Neurosurgery</addtitle><description>Augmented reality (AR) is a technique in which an overlay of a virtual image to a live picture is performed to create a new image in which both original images coexist as a single image. This results in the visualization of internal structures through overlying tissues. The objective was to describe an easy, inexpensive, and successful method to coregister with AR in an image-guided surgery setting using the resources at hand.
Cortical information was obtained with a volumetric acquisition of 200 0.8-mm thick, cerebral magnetic resonance imaging scans in an axial T1-weighted sequence. For the venous anatomy, a contrast phase at 7 mm/s velocity was used. This data was reconstructed in a three-dimensional fashion using MRIcro software (v. 1.37, freeware, courtesy of Chris Rorden) and was overlaid to a digital image of the cerebral cortex either pre- or intraoperatively.
Eight patients were studied. There was an adequate coregistration in seven of the patients as confirmed by intraoperative ultrasound, frame-based stereotaxy, or obvious anatomic homology between the three-dimensional magnetic resonance imaging scan virtual reconstruction and the live image obtained during surgery. AR was not possible in one case of a cerebellar lesion.
AR coregistration capabilities are adequate when revised by other intraoperative guidance devices. When performed with "freeware" software and conventional digital cameras, it is relatively inexpensive, which makes it a potential tool for surgical planning and noncontinuous intraoperative guidance in neurosurgery. Its largest drawbacks are the inability to function in deep-seated lesions and its lack of tracking devices, which gives it a noncontinuous coregistration nature.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Biological and medical sciences</subject><subject>Brain Infarction - diagnosis</subject><subject>Brain Infarction - surgery</subject><subject>Brain Neoplasms - diagnosis</subject><subject>Brain Neoplasms - surgery</subject><subject>Female</subject><subject>Humans</subject><subject>Image Enhancement - instrumentation</subject><subject>Image Enhancement - methods</subject><subject>Imaging, Three-Dimensional</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Neurosurgery</subject><subject>Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases</subject><subject>Surgery, Computer-Assisted - economics</subject><subject>Surgery, Computer-Assisted - instrumentation</subject><subject>Surgery, Computer-Assisted - methods</subject><subject>Tomography, X-Ray Computed</subject><subject>User-Computer Interface</subject><issn>0148-396X</issn><issn>2332-4252</issn><issn>1524-4040</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpFkU1r3DAQhkVpaDZp_0IRhfZUO_qwPtzbEpK0EJJLA70JrTxyVWzJleyQ_fd1sws7l2GG551h3kHoEyU1ZUxdEVpHWGqyBhOCS1JzJnVbe_sGbahgTdWQhrxFG0IbXfFW_jpHF6X8IYTKRul36Jyqhgqq5AbNWxzTMwxfcYjwMkEs4RnwCPPv1OHkcRhtD9ilDH0oc7ZzSBH7lLGdpiG417qs2gNY9UvooMNlyT3kPV5KiD22Sz9CnNd-BjuEef8enXk7FPhwzJfo6fbm5_X36v7x7sf19r5ygrG5ainYFjQwAq71LWcCuNBaK996SolUnXbKcd7uOsabToHi1IsdcyBBs53nl-jLYe6U098FymzGUBwMg42QlmIU4VJLoVbw2wF0OZWSwZsprwflvaHE_PfcEGoebp7MyXPz6rm53a7ij8cty26E7iQ9mrwCn4-ALc4OPtvoQjlxWq4_Epz_A3WYjcI</recordid><startdate>20070401</startdate><enddate>20070401</enddate><creator>LOVO, Eduardo E</creator><creator>QUINTANA, Juan C</creator><creator>PUEBLA, Manuel C</creator><creator>TORREALBA, Gonzalo</creator><creator>SANTOS, José L</creator><creator>LIRA, Isidro H</creator><creator>TAGLE, Patricio</creator><creator>MATTOS, Joao Paulo</creator><creator>DE OLIVEIRA, Evandro</creator><creator>SPETZLER, Robert F</creator><general>Lippincott Williams & Wilkins</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20070401</creationdate><title>A novel, inexpensive method of image coregistration for applications in image-guided surgery using augmented reality</title><author>LOVO, Eduardo E ; QUINTANA, Juan C ; PUEBLA, Manuel C ; TORREALBA, Gonzalo ; SANTOS, José L ; LIRA, Isidro H ; TAGLE, Patricio ; MATTOS, Joao Paulo ; DE OLIVEIRA, Evandro ; SPETZLER, Robert F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c522t-91ea9e8e20ec9f9325e358887f9f11067d8c7c339bd234d7e731f5b2ce6e82bf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Biological and medical sciences</topic><topic>Brain Infarction - diagnosis</topic><topic>Brain Infarction - surgery</topic><topic>Brain Neoplasms - diagnosis</topic><topic>Brain Neoplasms - surgery</topic><topic>Female</topic><topic>Humans</topic><topic>Image Enhancement - instrumentation</topic><topic>Image Enhancement - methods</topic><topic>Imaging, Three-Dimensional</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Neurosurgery</topic><topic>Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases</topic><topic>Surgery, Computer-Assisted - economics</topic><topic>Surgery, Computer-Assisted - instrumentation</topic><topic>Surgery, Computer-Assisted - methods</topic><topic>Tomography, X-Ray Computed</topic><topic>User-Computer Interface</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>LOVO, Eduardo E</creatorcontrib><creatorcontrib>QUINTANA, Juan C</creatorcontrib><creatorcontrib>PUEBLA, Manuel C</creatorcontrib><creatorcontrib>TORREALBA, Gonzalo</creatorcontrib><creatorcontrib>SANTOS, José L</creatorcontrib><creatorcontrib>LIRA, Isidro H</creatorcontrib><creatorcontrib>TAGLE, Patricio</creatorcontrib><creatorcontrib>MATTOS, Joao Paulo</creatorcontrib><creatorcontrib>DE OLIVEIRA, Evandro</creatorcontrib><creatorcontrib>SPETZLER, Robert F</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Neurosurgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>LOVO, Eduardo E</au><au>QUINTANA, Juan C</au><au>PUEBLA, Manuel C</au><au>TORREALBA, Gonzalo</au><au>SANTOS, José L</au><au>LIRA, Isidro H</au><au>TAGLE, Patricio</au><au>MATTOS, Joao Paulo</au><au>DE OLIVEIRA, Evandro</au><au>SPETZLER, Robert F</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A novel, inexpensive method of image coregistration for applications in image-guided surgery using augmented reality</atitle><jtitle>Neurosurgery</jtitle><addtitle>Neurosurgery</addtitle><date>2007-04-01</date><risdate>2007</risdate><volume>60</volume><issue>4</issue><spage>366</spage><epage>372</epage><pages>366-372</pages><issn>0148-396X</issn><issn>2332-4252</issn><eissn>1524-4040</eissn><coden>NRSRDY</coden><abstract>Augmented reality (AR) is a technique in which an overlay of a virtual image to a live picture is performed to create a new image in which both original images coexist as a single image. This results in the visualization of internal structures through overlying tissues. The objective was to describe an easy, inexpensive, and successful method to coregister with AR in an image-guided surgery setting using the resources at hand.
Cortical information was obtained with a volumetric acquisition of 200 0.8-mm thick, cerebral magnetic resonance imaging scans in an axial T1-weighted sequence. For the venous anatomy, a contrast phase at 7 mm/s velocity was used. This data was reconstructed in a three-dimensional fashion using MRIcro software (v. 1.37, freeware, courtesy of Chris Rorden) and was overlaid to a digital image of the cerebral cortex either pre- or intraoperatively.
Eight patients were studied. There was an adequate coregistration in seven of the patients as confirmed by intraoperative ultrasound, frame-based stereotaxy, or obvious anatomic homology between the three-dimensional magnetic resonance imaging scan virtual reconstruction and the live image obtained during surgery. AR was not possible in one case of a cerebellar lesion.
AR coregistration capabilities are adequate when revised by other intraoperative guidance devices. When performed with "freeware" software and conventional digital cameras, it is relatively inexpensive, which makes it a potential tool for surgical planning and noncontinuous intraoperative guidance in neurosurgery. Its largest drawbacks are the inability to function in deep-seated lesions and its lack of tracking devices, which gives it a noncontinuous coregistration nature.</abstract><cop>Hagerstown, MD</cop><pub>Lippincott Williams & Wilkins</pub><pmid>17415176</pmid><doi>10.1227/01.neu.0000255360.32689.fa</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Aged Biological and medical sciences Brain Infarction - diagnosis Brain Infarction - surgery Brain Neoplasms - diagnosis Brain Neoplasms - surgery Female Humans Image Enhancement - instrumentation Image Enhancement - methods Imaging, Three-Dimensional Magnetic Resonance Imaging Male Medical sciences Middle Aged Neurosurgery Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases Surgery, Computer-Assisted - economics Surgery, Computer-Assisted - instrumentation Surgery, Computer-Assisted - methods Tomography, X-Ray Computed User-Computer Interface |
title | A novel, inexpensive method of image coregistration for applications in image-guided surgery using augmented reality |
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