{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T10:41:44Z","timestamp":1773484904450,"version":"3.50.1"},"reference-count":20,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T00:00:00Z","timestamp":1646092800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Digit Imaging"],"published-print":{"date-parts":[[2022,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>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.<\/jats:p>","DOI":"10.1007\/s10278-022-00609-8","type":"journal-article","created":{"date-parts":[[2022,3,1]],"date-time":"2022-03-01T15:02:33Z","timestamp":1646146953000},"page":"704-713","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":15,"title":["A Dedicated Tool for Presurgical Mapping of Brain Tumors and Mixed-Reality Navigation During Neurosurgery"],"prefix":"10.1007","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1089-9809","authenticated-orcid":false,"given":"Piero","family":"Chiacchiaretta","sequence":"first","affiliation":[]},{"given":"Mauro Gianni","family":"Perrucci","sequence":"additional","affiliation":[]},{"given":"Massimo","family":"Caulo","sequence":"additional","affiliation":[]},{"given":"Riccardo","family":"Navarra","sequence":"additional","affiliation":[]},{"given":"Gaia","family":"Baldiraghi","sequence":"additional","affiliation":[]},{"given":"Davide","family":"Rolandi","sequence":"additional","affiliation":[]},{"given":"Sabino","family":"Luzzi","sequence":"additional","affiliation":[]},{"given":"Mattia","family":"Del Maestro","sequence":"additional","affiliation":[]},{"given":"Renato","family":"Galzio","sequence":"additional","affiliation":[]},{"given":"Antonio","family":"Ferretti","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,3,1]]},"reference":[{"issue":"9","key":"609_CR1","doi-asserted-by":"publisher","first-page":"442","DOI":"10.1016\/j.tics.2013.07.002","volume":"17","author":"M Desmurget","year":"2013","unstructured":"M. Desmurget, Z. Song, C. Mottolese, and A. Sirigu, \u201cRe-establishing the merits of electrical brain stimulation.,\u201d Trends Cogn Sci, vol. 17, no. 9, pp. 442\u2013449, Sep. 2013.","journal-title":"Trends Cogn Sci"},{"key":"609_CR2","doi-asserted-by":"crossref","unstructured":"P. C. De Witt Hamer, S. G. Robles, A. H. Zwinderman, H. Duffau, and M. S. Berger, \u201cImpact of intraoperative stimulation brain mapping on glioma surgery outcome: a meta-analysis.,\u201d J Clin Oncol, vol. 30, no. 20, pp. 2559\u20132565, Jul. 2012.","DOI":"10.1200\/JCO.2011.38.4818"},{"issue":"4","key":"609_CR3","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1097\/RMR.0000000000000216","volume":"28","author":"S Agarwal","year":"2019","unstructured":"S. Agarwal, H. I. Sair, S. Gujar, and J. J. Pillai, \u201cLanguage mapping with fMRI: current standards and reproducibility.,\u201d Top Magn Reson Imaging, vol. 28, no. 4, pp. 225\u2013233, Aug. 2019.","journal-title":"Top Magn Reson Imaging"},{"key":"609_CR4","doi-asserted-by":"crossref","unstructured":"A. Castellano, S. Cirillo, L. Bello, M. Riva, and A. Falini, \u201cFunctional MRI for surgery of gliomas.,\u201d Curr Treat Options Neurol, vol. 19, no. 10, p. 34, Aug. 2017.","DOI":"10.1007\/s11940-017-0469-y"},{"issue":"1","key":"609_CR5","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/j.nic.2020.09.009","volume":"31","author":"AA Chaudhry","year":"2021","unstructured":"A. A. Chaudhry, S. Naim, M. Gul, A. Chaudhry, M. Chen, R. Jandial, and B. Badie, \u201cUtility of preoperative blood-oxygen-level-dependent functional MR imaging in patients with a central nervous system neoplasm.,\u201d Neuroimaging Clin N Am, vol. 31, no. 1, pp. 93\u2013102, Feb. 2021.","journal-title":"Neuroimaging Clin N Am"},{"key":"609_CR6","doi-asserted-by":"crossref","unstructured":"J.-M. Lem\u00e9e, D. H. Berro, F. Bernard, E. Chinier, L.-M. Leiber, P. Menei, and A. Ter Minassian, \u201cResting-state functional magnetic resonance imaging versus task-based activity for language mapping and correlation with perioperative cortical mapping.,\u201d Brain Behav, vol. 9, no. 10, p. e01362, Oct. 2019.","DOI":"10.1002\/brb3.1362"},{"issue":"3","key":"609_CR7","doi-asserted-by":"publisher","first-page":"348","DOI":"10.1111\/jon.12597","volume":"29","author":"P Unadkat","year":"2019","unstructured":"P. Unadkat, L. Fumagalli, L. Rigolo, M. G. Vangel, G. S. Young, R. Huang, S. Mukundan, A. Golby, and Y. Tie, \u201cFunctional MRI task comparison for language mapping in neurosurgical patients.,\u201d J Neuroimaging, vol. 29, no. 3, pp. 348\u2013356, May 2019.","journal-title":"J Neuroimaging"},{"key":"609_CR8","doi-asserted-by":"crossref","unstructured":"J. W. Yoon, R. E. Chen, E. J. Kim, O. O. Akinduro, P. Kerezoudis, P. K. Han, P. Si, W. D. Freeman, R. J. Diaz, R. J. Komotar, S. M. Pirris, B. L. Brown, M. Bydon, M. Y. Wang, R. E. Wharen, and A. Quinones-Hinojosa, \u201cAugmented reality for the surgeon: systematic review.,\u201d Int J Med Robot, vol. 14, no. 4, p. e1914, Aug. 2018.","DOI":"10.1002\/rcs.1914"},{"issue":"4","key":"609_CR9","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1007\/s10143-016-0732-9","volume":"40","author":"A Meola","year":"2017","unstructured":"A. Meola, F. Cutolo, M. Carbone, F. Cagnazzo, M. Ferrari, and V. Ferrari, \u201cAugmented reality in neurosurgery: a systematic review.,\u201d Neurosurg Rev, vol. 40, no. 4, pp. 537\u2013548, Oct. 2017.","journal-title":"Neurosurg Rev"},{"key":"609_CR10","doi-asserted-by":"publisher","first-page":"e422","DOI":"10.1016\/j.wneu.2018.06.208","volume":"118","author":"F Incekara","year":"2018","unstructured":"F. Incekara, M. Smits, C. Dirven, and A. Vincent, \u201cClinical feasibility of a wearable mixed-reality device in neurosurgery.,\u201d World Neurosurg, vol. 118, pp. e422\u2013e427, Oct. 2018.","journal-title":"World Neurosurg"},{"issue":"5","key":"609_CR11","doi-asserted-by":"publisher","first-page":"819","DOI":"10.1007\/s11548-020-02165-4","volume":"15","author":"J Cartucho","year":"2020","unstructured":"J. Cartucho, D. Shapira, H. Ashrafian, and S. Giannarou, \u201cMultimodal mixed reality visualisation for intraoperative surgical guidance.,\u201d Int J Comput Assist Radiol Surg, vol. 15, no. 5, pp. 819\u2013826, May 2020.","journal-title":"Int J Comput Assist Radiol Surg"},{"key":"609_CR12","doi-asserted-by":"crossref","unstructured":"J. Huang, M. Halicek, M. Shahedi, and B. Fei, \u201cAugmented reality visualization of hyperspectral imaging classifications for image-guided brain tumor phantom resection.,\u201d Proc SPIE Int Soc Opt Eng, vol. 11315, Feb. 2020.","DOI":"10.1117\/12.2549041"},{"key":"609_CR13","doi-asserted-by":"crossref","unstructured":"C. M. Morales Mojica, J. D. Velazco-Garcia, E. P. Pappas, T. A. Birbilis, A. Becker, E. L. Leiss, A. Webb, I. Seimenis, and N. V. Tsekos, \u201cA holographic augmented reality interface for visualizing of MRI data and planning of neurosurgical procedures.,\u201d J Digit Imaging, May 2021.","DOI":"10.1007\/s10278-020-00412-3"},{"issue":"13","key":"609_CR14","doi-asserted-by":"publisher","first-page":"5951","DOI":"10.1073\/pnas.89.13.5951","volume":"89","author":"S Ogawa","year":"1992","unstructured":"S. Ogawa, D. W. Tank, R. Menon, J. M. Ellermann, S. G. Kim, H. Merkle, and K. U\u011furbil, \u201cIntrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging.,\u201d Proceedings of the National Academy of Sciences of the United States of America, vol. 89, no. 13, pp. 5951\u20135955, Jul. 1992.","journal-title":"Proceedings of the National Academy of Sciences of the United States of America"},{"issue":"12","key":"609_CR15","doi-asserted-by":"publisher","first-page":"5675","DOI":"10.1073\/pnas.89.12.5675","volume":"89","author":"KK Kwong","year":"1992","unstructured":"K. K. Kwong, J. W. Belliveau, D. A. Chesler, I. E. Goldberg, R. M. Weisskoff, B. P. Poncelet, D. N. Kennedy, B. E. Hoppel, M. S. Cohen, and R. Turner, \u201cDynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.,\u201d Proceedings of the National Academy of Sciences of the United States of America, vol. 89, no. 12, pp. 5675\u20135679, Jun. 1992.","journal-title":"Proceedings of the National Academy of Sciences of the United States of America"},{"issue":"4","key":"609_CR16","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1002\/hbm.460020402","volume":"2","author":"KJ Friston","year":"1994","unstructured":"K. J. Friston, A. P. Holmes, K. J. Worsley, J. P. Poline, C. D. Frith, and R. S. J. Frackowiak, \u201cStatistical parametric maps in functional imaging: a general linear approach,\u201d Hum Brain Mapp, vol. 2, no. 4, pp. 189\u2013210, Jan. 1994.","journal-title":"Hum Brain Mapp"},{"issue":"3","key":"609_CR17","first-page":"356","volume":"25","author":"BJ Jellison","year":"2004","unstructured":"B. J. Jellison, A. S. Field, J. Medow, M. Lazar, M. S. Salamat, and A. L. Alexander, \u201cDiffusion tensor imaging of cerebral white matter: a pictorial review of physics, fiber tract anatomy, and tumor imaging patterns.,\u201d American Journal of Neuroradiology, vol. 25, no. 3, pp. 356\u2013369, Mar. 2004.","journal-title":"American Journal of Neuroradiology"},{"issue":"12","key":"609_CR18","doi-asserted-by":"publisher","first-page":"2798","DOI":"10.1007\/s00330-009-1483-6","volume":"19","author":"A Romano","year":"2009","unstructured":"A. Romano, G. D'andrea, G. Minniti, L. Mastronardi, L. Ferrante, L. M. Fantozzi, and A. Bozzao, \u201cPre-surgical planning and MR-tractography utility in brain tumour resection.,\u201d Eur Radiol, vol. 19, no. 12, pp. 2798\u20132808, Dec. 2009.","journal-title":"Eur Radiol"},{"issue":"4","key":"609_CR19","doi-asserted-by":"publisher","first-page":"599","DOI":"10.1016\/j.nic.2014.08.002","volume":"24","author":"JL Ulmer","year":"2014","unstructured":"J. L. Ulmer, A. P. Klein, W. M. Mueller, E. A. DeYoe, and L. P. Mark, \u201cPreoperative diffusion tensor imaging: improving neurosurgical outcomes in brain tumor patients.,\u201d Neuroimaging Clin N Am, vol. 24, no. 4, pp. 599\u2013617, Nov. 2014.","journal-title":"Neuroimaging Clin N Am"},{"key":"609_CR20","doi-asserted-by":"crossref","unstructured":"I. J. Gerard, M. Kersten-Oertel, J. A. Hall, D. Sirhan, and D. L. Collins, \u201cBrain shift in neuronavigation of brain tumors: an updated review of intra-operative ultrasound applications.,\u201d Front Oncol, vol. 10, p. 618837, 2020.","DOI":"10.3389\/fonc.2020.618837"}],"updated-by":[{"DOI":"10.1007\/s10278-022-00750-4","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2022,12,13]],"date-time":"2022-12-13T00:00:00Z","timestamp":1670889600000}}],"container-title":["Journal of Digital Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-022-00609-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10278-022-00609-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10278-022-00609-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,13]],"date-time":"2022-12-13T17:09:32Z","timestamp":1670951372000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10278-022-00609-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,1]]},"references-count":20,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,6]]}},"alternative-id":["609"],"URL":"https:\/\/doi.org\/10.1007\/s10278-022-00609-8","relation":{"correction":[{"id-type":"doi","id":"10.1007\/s10278-022-00750-4","asserted-by":"object"}]},"ISSN":["0897-1889","1618-727X"],"issn-type":[{"value":"0897-1889","type":"print"},{"value":"1618-727X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,1]]},"assertion":[{"value":"13 July 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 February 2022","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 February 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 March 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 July 2022","order":5,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Update","order":6,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The original version of this paper was updated to reflect the funding information.","order":7,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 December 2022","order":8,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Correction","order":9,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"A Correction to this paper has been published:","order":10,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"https:\/\/doi.org\/10.1007\/s10278-022-00750-4","URL":"https:\/\/doi.org\/10.1007\/s10278-022-00750-4","order":11,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"N\/A","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to Participate"}},{"value":"N\/A","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for Publication"}},{"value":"N\/A","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}},{"value":"The authors declare no competing interests.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}