A Dedicated Tool for Presurgical Mapping of Brain Tumors and Mixed-Reality Navigation During Neurosurgery
Brain tumor surgery requires a delicate tradeoff between complete removal of neoplastic tissue while minimizing loss of brain function. Functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) have emerged as valuable tools for non-invasive assessment of human brain function a...
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Veröffentlicht in: | Journal of digital imaging 2022-06, Vol.35 (3), p.704-713 |
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creator | Chiacchiaretta, Piero Perrucci, Mauro Gianni Caulo, Massimo Navarra, Riccardo Baldiraghi, Gaia Rolandi, Davide Luzzi, Sabino Del Maestro, Mattia Galzio, Renato Ferretti, Antonio |
description | Brain tumor surgery requires a delicate tradeoff between complete removal of neoplastic tissue while minimizing loss of brain function. Functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) have emerged as valuable tools for non-invasive assessment of human brain function and are now used to determine brain regions that should be spared to prevent functional impairment after surgery. However, image analysis requires different software packages, mainly developed for research purposes and often difficult to use in a clinical setting, preventing large-scale diffusion of presurgical mapping. We developed a specialized software able to implement an automatic analysis of multimodal MRI presurgical mapping in a single application and to transfer the results to the neuronavigator. Moreover, the imaging results are integrated in a commercially available wearable device using an optimized mixed-reality approach, automatically anchoring 3-dimensional holograms obtained from MRI with the physical head of the patient. This will allow the surgeon to virtually explore deeper tissue layers highlighting critical brain structures that need to be preserved, while retaining the natural oculo-manual coordination. The enhanced ergonomics of this procedure will significantly improve accuracy and safety of the surgery, with large expected benefits for health care systems and related industrial investors. |
doi_str_mv | 10.1007/s10278-022-00609-8 |
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Functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) have emerged as valuable tools for non-invasive assessment of human brain function and are now used to determine brain regions that should be spared to prevent functional impairment after surgery. However, image analysis requires different software packages, mainly developed for research purposes and often difficult to use in a clinical setting, preventing large-scale diffusion of presurgical mapping. We developed a specialized software able to implement an automatic analysis of multimodal MRI presurgical mapping in a single application and to transfer the results to the neuronavigator. Moreover, the imaging results are integrated in a commercially available wearable device using an optimized mixed-reality approach, automatically anchoring 3-dimensional holograms obtained from MRI with the physical head of the patient. This will allow the surgeon to virtually explore deeper tissue layers highlighting critical brain structures that need to be preserved, while retaining the natural oculo-manual coordination. The enhanced ergonomics of this procedure will significantly improve accuracy and safety of the surgery, with large expected benefits for health care systems and related industrial investors.</description><identifier>ISSN: 0897-1889</identifier><identifier>EISSN: 1618-727X</identifier><identifier>DOI: 10.1007/s10278-022-00609-8</identifier><identifier>PMID: 35230562</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Brain ; Brain cancer ; Brain mapping ; Brain Mapping - methods ; Brain Neoplasms - diagnostic imaging ; Brain Neoplasms - surgery ; Brain tumors ; Diffusion Tensor Imaging ; Ergonomics ; Functional magnetic resonance imaging ; Health care ; Humans ; Image analysis ; Image processing ; Imaging ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Mapping ; Medical imaging ; Medicine ; Medicine & Public Health ; Mixed reality ; Neuroimaging ; Neurosurgery ; Radiology ; Software packages ; Surgery ; Tensors ; Tumors ; Wearable technology</subject><ispartof>Journal of digital imaging, 2022-06, Vol.35 (3), p.704-713</ispartof><rights>The Author(s) 2022. corrected publication 2022</rights><rights>2022. The Author(s).</rights><rights>The Author(s) 2022. corrected publication 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2022, corrected publication 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c474t-e7ff42f8f58e9244c6794702154dad9ec57274714ea1680c924f182bb7d822253</citedby><cites>FETCH-LOGICAL-c474t-e7ff42f8f58e9244c6794702154dad9ec57274714ea1680c924f182bb7d822253</cites><orcidid>0000-0003-1089-9809</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/PMC9156583/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9156583/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,883,27907,27908,53774,53776</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35230562$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chiacchiaretta, Piero</creatorcontrib><creatorcontrib>Perrucci, Mauro Gianni</creatorcontrib><creatorcontrib>Caulo, Massimo</creatorcontrib><creatorcontrib>Navarra, Riccardo</creatorcontrib><creatorcontrib>Baldiraghi, Gaia</creatorcontrib><creatorcontrib>Rolandi, Davide</creatorcontrib><creatorcontrib>Luzzi, Sabino</creatorcontrib><creatorcontrib>Del Maestro, Mattia</creatorcontrib><creatorcontrib>Galzio, Renato</creatorcontrib><creatorcontrib>Ferretti, Antonio</creatorcontrib><title>A Dedicated Tool for Presurgical Mapping of Brain Tumors and Mixed-Reality Navigation During Neurosurgery</title><title>Journal of digital imaging</title><addtitle>J Digit Imaging</addtitle><addtitle>J Digit Imaging</addtitle><description>Brain tumor surgery requires a delicate tradeoff between complete removal of neoplastic tissue while minimizing loss of brain function. Functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) have emerged as valuable tools for non-invasive assessment of human brain function and are now used to determine brain regions that should be spared to prevent functional impairment after surgery. However, image analysis requires different software packages, mainly developed for research purposes and often difficult to use in a clinical setting, preventing large-scale diffusion of presurgical mapping. We developed a specialized software able to implement an automatic analysis of multimodal MRI presurgical mapping in a single application and to transfer the results to the neuronavigator. Moreover, the imaging results are integrated in a commercially available wearable device using an optimized mixed-reality approach, automatically anchoring 3-dimensional holograms obtained from MRI with the physical head of the patient. This will allow the surgeon to virtually explore deeper tissue layers highlighting critical brain structures that need to be preserved, while retaining the natural oculo-manual coordination. The enhanced ergonomics of this procedure will significantly improve accuracy and safety of the surgery, with large expected benefits for health care systems and related industrial investors.</description><subject>Brain</subject><subject>Brain cancer</subject><subject>Brain mapping</subject><subject>Brain Mapping - methods</subject><subject>Brain Neoplasms - diagnostic imaging</subject><subject>Brain Neoplasms - surgery</subject><subject>Brain tumors</subject><subject>Diffusion Tensor Imaging</subject><subject>Ergonomics</subject><subject>Functional magnetic resonance imaging</subject><subject>Health care</subject><subject>Humans</subject><subject>Image analysis</subject><subject>Image processing</subject><subject>Imaging</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Mapping</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mixed reality</subject><subject>Neuroimaging</subject><subject>Neurosurgery</subject><subject>Radiology</subject><subject>Software packages</subject><subject>Surgery</subject><subject>Tensors</subject><subject>Tumors</subject><subject>Wearable technology</subject><issn>0897-1889</issn><issn>1618-727X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kUtv1DAUhS0EokPhD3RRWWLDxmA7fmVTqbS8pLYgNEjdWZ7keuoqEwc7qZh_j8OUQrvoypL9neN77kHogNG3jFL9LjPKtSGUc0KpojUxT9CCKWaI5vryKVpQU2vCjKn30IucryllWmrxHO1VkldUKr5A4RifQhsaN0KLlzF22MeEvyXIU1qX6w6fu2EI_RpHj98nF3q8nDYxZez6Fp-HX9CS7-C6MG7xhbsJazeG2OPTKc2aC5hSnJ0gbV-iZ951GV7dnvvox8cPy5PP5Ozrpy8nx2ekEVqMBLT3gnvjpYGaC9EoXQtNOZOidW0NjSzhhGYCHFOGNoXxzPDVSreGcy6rfXS08x2m1QbaBvoxuc4OKWxc2trogr3_0ocru443tmZSSVMVgze3Bin-nCCPdhNyA13neohTtlxVwkjGuCjo6wfodZxSX-IVSjNDlaKzId9RTVlGTuDvhmHUzk3aXZO2NGn_NGlNER3-H-NO8re6AlQ7IA_zriH9-_sR29-BH6mM</recordid><startdate>20220601</startdate><enddate>20220601</enddate><creator>Chiacchiaretta, Piero</creator><creator>Perrucci, Mauro Gianni</creator><creator>Caulo, Massimo</creator><creator>Navarra, Riccardo</creator><creator>Baldiraghi, Gaia</creator><creator>Rolandi, Davide</creator><creator>Luzzi, Sabino</creator><creator>Del Maestro, Mattia</creator><creator>Galzio, Renato</creator><creator>Ferretti, Antonio</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>C6C</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>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7SC</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K9.</scope><scope>KB0</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-1089-9809</orcidid></search><sort><creationdate>20220601</creationdate><title>A Dedicated Tool for Presurgical Mapping of Brain Tumors and Mixed-Reality Navigation During Neurosurgery</title><author>Chiacchiaretta, Piero ; Perrucci, Mauro Gianni ; Caulo, Massimo ; Navarra, Riccardo ; Baldiraghi, Gaia ; Rolandi, Davide ; Luzzi, Sabino ; Del Maestro, Mattia ; Galzio, Renato ; Ferretti, Antonio</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-e7ff42f8f58e9244c6794702154dad9ec57274714ea1680c924f182bb7d822253</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Brain</topic><topic>Brain cancer</topic><topic>Brain mapping</topic><topic>Brain Mapping - methods</topic><topic>Brain Neoplasms - diagnostic imaging</topic><topic>Brain Neoplasms - surgery</topic><topic>Brain tumors</topic><topic>Diffusion Tensor Imaging</topic><topic>Ergonomics</topic><topic>Functional magnetic resonance imaging</topic><topic>Health care</topic><topic>Humans</topic><topic>Image analysis</topic><topic>Image processing</topic><topic>Imaging</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Mapping</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mixed reality</topic><topic>Neuroimaging</topic><topic>Neurosurgery</topic><topic>Radiology</topic><topic>Software packages</topic><topic>Surgery</topic><topic>Tensors</topic><topic>Tumors</topic><topic>Wearable technology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chiacchiaretta, Piero</creatorcontrib><creatorcontrib>Perrucci, Mauro Gianni</creatorcontrib><creatorcontrib>Caulo, Massimo</creatorcontrib><creatorcontrib>Navarra, Riccardo</creatorcontrib><creatorcontrib>Baldiraghi, Gaia</creatorcontrib><creatorcontrib>Rolandi, Davide</creatorcontrib><creatorcontrib>Luzzi, Sabino</creatorcontrib><creatorcontrib>Del Maestro, Mattia</creatorcontrib><creatorcontrib>Galzio, Renato</creatorcontrib><creatorcontrib>Ferretti, Antonio</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Computer and Information Systems Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Biological Science Collection</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - 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Functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) have emerged as valuable tools for non-invasive assessment of human brain function and are now used to determine brain regions that should be spared to prevent functional impairment after surgery. However, image analysis requires different software packages, mainly developed for research purposes and often difficult to use in a clinical setting, preventing large-scale diffusion of presurgical mapping. We developed a specialized software able to implement an automatic analysis of multimodal MRI presurgical mapping in a single application and to transfer the results to the neuronavigator. Moreover, the imaging results are integrated in a commercially available wearable device using an optimized mixed-reality approach, automatically anchoring 3-dimensional holograms obtained from MRI with the physical head of the patient. 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subjects | Brain Brain cancer Brain mapping Brain Mapping - methods Brain Neoplasms - diagnostic imaging Brain Neoplasms - surgery Brain tumors Diffusion Tensor Imaging Ergonomics Functional magnetic resonance imaging Health care Humans Image analysis Image processing Imaging Magnetic resonance imaging Magnetic Resonance Imaging - methods Mapping Medical imaging Medicine Medicine & Public Health Mixed reality Neuroimaging Neurosurgery Radiology Software packages Surgery Tensors Tumors Wearable technology |
title | A Dedicated Tool for Presurgical Mapping of Brain Tumors and Mixed-Reality Navigation During Neurosurgery |
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