{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T14:30:00Z","timestamp":1790433000216,"version":"4.1.0"},"reference-count":44,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2019,3,11]],"date-time":"2019-03-11T00:00:00Z","timestamp":1552262400000},"content-version":"vor","delay-in-days":69,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100008672","name":"Wilhelm Sander-Stiftung","doi-asserted-by":"publisher","award":["2013.109.1"],"award-info":[{"award-number":["2013.109.1"]}],"id":[{"id":"10.13039\/100008672","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["P41 EB015898"],"award-info":[{"award-number":["P41 EB015898"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["P41 EB015902"],"award-info":[{"award-number":["P41 EB015902"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U24 CA180918"],"award-info":[{"award-number":["U24 CA180918"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage: Clinical"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1016\/j.nicl.2019.101766","type":"journal-article","created":{"date-parts":[[2019,3,12]],"date-time":"2019-03-12T03:09:54Z","timestamp":1552360194000},"page":"101766","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":19,"special_numbering":"C","title":["Automatic and efficient MRI-US segmentations for improving intraoperative image fusion in image-guided neurosurgery"],"prefix":"10.1016","volume":"22","author":[{"given":"J.","family":"Nitsch","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J.","family":"Klein","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P.","family":"Dammann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"K.","family":"Wrede","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"O.","family":"Gembruch","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J.H.","family":"Moltz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"H.","family":"Meine","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"U.","family":"Sure","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"R.","family":"Kikinis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"D.","family":"Miller","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"11","key":"10.1016\/j.nicl.2019.101766_bb0005","doi-asserted-by":"crossref","first-page":"2274","DOI":"10.1109\/TPAMI.2012.120","article-title":"SLIC superpixels compared to state-of-the-art superpixel methods","volume":"34","author":"Achanta","year":"2012","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"4","key":"10.1016\/j.nicl.2019.101766_bb0010","doi-asserted-by":"crossref","first-page":"123","DOI":"10.3109\/10929080500079248","article-title":"Automatic non-linear MRI-ultrasound registration for the correction of intra-operative brain deformations","volume":"9","author":"Arbel","year":"2004","journal-title":"Computer Aided Surgery"},{"issue":"6","key":"10.1016\/j.nicl.2019.101766_bb0015","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1016\/j.compbiomed.2011.03.011","article-title":"A robust and extendible framework for medical image registration focused on rapid clinical application deployment","volume":"41","author":"Boehler","year":"2011","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.nicl.2019.101766_bb0020","series-title":"Soft Tissue Biomechanical Modeling for Computer Assisted Surgery","first-page":"135","article-title":"Doppler ultrasound driven biomechanical model of the brain for intraoperative brain-shift compensation: A proof of concept in clinical conditions","author":"Bucki","year":"2012"},{"issue":"6","key":"10.1016\/j.nicl.2019.101766_bb0025","doi-asserted-by":"crossref","first-page":"775","DOI":"10.1227\/NEU.0000000000001081","article-title":"Low-grade glioma surgery in intraoperative magnetic resonance imaging: results of a multicenter retrospective assessment of the German study Group for Intraoperative Magnetic Resonance Imaging","volume":"78","author":"Coburger","year":"2016","journal-title":"Neurosurgery"},{"key":"10.1016\/j.nicl.2019.101766_bb0030","doi-asserted-by":"crossref","DOI":"10.1155\/2012\/531319","article-title":"3D rigid registration of intraoperative ultrasound and preoperative MR brain images based on Hyperechogenic structures","volume":"2012","author":"Coupe","year":"2012","journal-title":"Int. J. Biomed. Imaging"},{"issue":"5","key":"10.1016\/j.nicl.2019.101766_bb0035","doi-asserted-by":"crossref","first-page":"555","DOI":"10.1007\/s11548-014-1098-5","article-title":"Brain-shift compensation by non-rigid registration of intra-operative ultrasound images with preoperative MR images based on residual complexity","volume":"10","author":"Farnia","year":"2015","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"key":"10.1016\/j.nicl.2019.101766_bb0040","series-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2000. Proceedings","first-page":"106","article-title":"Ultrasound\/MRI overlay with image warping for neurosurgery","author":"Gobbi","year":"2000"},{"key":"10.1016\/j.nicl.2019.101766_bb0045","series-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2000. Proceedings","first-page":"134","article-title":"The skull stripping problem in MRI solved by a single 3D watershed transform","author":"Hahn","year":"2000"},{"key":"10.1016\/j.nicl.2019.101766_bb0050","series-title":"Proceedings of the International Conference on Computer Vision Theory and Applications","first-page":"530","article-title":"A generic concept for object-based image analysis","volume":"2","author":"Homeyer","year":"2010"},{"issue":"3","key":"10.1016\/j.nicl.2019.101766_bb0055","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1007\/s10278-015-9847-8","article-title":"Methods on skull stripping of MRI head scan images-a review","volume":"29","author":"Kalavathi","year":"2016","journal-title":"J. Digit. Imaging"},{"key":"10.1016\/j.nicl.2019.101766_bb0060","series-title":"Medical Image Computing and Computer-Assisted Intervention \u2013 MICCAI 2000. Proceedings","first-page":"588","article-title":"Bayesian estimation of intra-operative deformation for image-guided surgery using 3-D ultrasound","author":"King","year":"2000"},{"key":"10.1016\/j.nicl.2019.101766_bb0065","doi-asserted-by":"crossref","first-page":"460","DOI":"10.1016\/j.neuroimage.2016.01.024","article-title":"Deep MRI brain extraction: a 3D convolutional neural network for skull stripping","volume":"129","author":"Kleesiek","year":"2016","journal-title":"NeuroImage"},{"issue":"8","key":"10.1016\/j.nicl.2019.101766_bb0070","doi-asserted-by":"crossref","first-page":"1137","DOI":"10.1016\/j.media.2013.07.004","article-title":"Registration of 3D fetal neurosonography and MRI","volume":"17","author":"Kuklisova-Murgasova","year":"2013","journal-title":"Med. Image Anal."},{"issue":"1","key":"10.1016\/j.nicl.2019.101766_bb2555","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.ultrasmedbio.2012.08.004","article-title":"Registering Pre- and Postresection 3-Dimensional ultrasound for improved visualization of residual brain tumor","volume":"39","author":"Laurence","year":"2013","journal-title":"Ultrasound Med. Biol."},{"key":"10.1016\/j.nicl.2019.101766_bb0075","series-title":"Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. Proceedings","first-page":"408","article-title":"Non-rigid registration of 3D ultrasound images of brain Tumours acquired during neurosurgery","author":"Letteboer","year":"2003"},{"issue":"1","key":"10.1016\/j.nicl.2019.101766_bb0080","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1007\/s11548-011-0620-2","article-title":"Comparing two approaches to rigid registration of three-dimensional ultrasound and magnetic resonance images for neurosurgery","volume":"7","author":"Mercier","year":"2012","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"key":"10.1016\/j.nicl.2019.101766_bb0090","series-title":"Numerical Methods for Image Registration","author":"Modersitzki","year":"2003"},{"key":"10.1016\/j.nicl.2019.101766_bb0095","series-title":"FAIR: Flexible Algorithms for Image Registration","first-page":"189","author":"Modersitzki","year":"2009"},{"key":"10.1016\/j.nicl.2019.101766_bb0100","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.wneu.2016.05.083","article-title":"Intraoperative ultrasound technology in neuro-oncology practice-current role and future applications","volume":"93","author":"Moiyadi","year":"2016","journal-title":"World Neurosurg."},{"issue":"1","key":"10.1016\/j.nicl.2019.101766_bb0105","doi-asserted-by":"crossref","first-page":"19","DOI":"10.4103\/jpn.JPN_141_16","article-title":"Resection of pediatric brain tumors: intraoperative ultrasound revisited","volume":"12","author":"Moiyadi","year":"2017","journal-title":"J. Pediatr. Neurosci."},{"key":"10.1016\/j.nicl.2019.101766_bb0115","series-title":"Eighth IEEE International Conference on Computer Vision: July 7\u201314, 2001, Vancouver, British Columbia, Canada","first-page":"12","author":"Nesch","year":"2001"},{"key":"10.1016\/j.nicl.2019.101766_bb0120","series-title":"Bildverarbeitung f\u00fcr die Medizin 2015","first-page":"287","article-title":"Automatic segmentation of the cerebral Falx and adjacent gyri in 2D ultrasound images","author":"Nitsch","year":"2015"},{"key":"10.1016\/j.nicl.2019.101766_bb0125","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1016\/j.clineuro.2015.02.004","article-title":"The value of intraoperative sonography in low grade glioma surgery","volume":"131","author":"Petridis","year":"2015","journal-title":"Clin. Neurol. Neurosurg."},{"issue":"4","key":"10.1016\/j.nicl.2019.101766_bb0130","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1109\/42.921484","article-title":"Three-dimensional registration and fusion of ultrasound and MRI using major vessels as fiducial markers","volume":"20","author":"Porter","year":"2001","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"2","key":"10.1016\/j.nicl.2019.101766_bb0135","first-page":"174","article-title":"Preoperative magnetic resonance and intraoperative ultrasound fusion imaging for real-time neuronavigation in brain tumor surgery","volume":"36","author":"Prada","year":"2015","journal-title":"Ultraschall in der Medizin (Stuttgart, Germany: 1980)"},{"key":"10.1016\/j.nicl.2019.101766_bb0140","doi-asserted-by":"crossref","DOI":"10.1155\/2015\/925729","article-title":"From Grey scale B-mode to Elastosonography: multimodal ultrasound imaging in meningioma surgery-pictorial essay and literature review","volume":"2015","author":"Prada","year":"2015","journal-title":"Biomed. Res. Int."},{"issue":"3","key":"10.1016\/j.nicl.2019.101766_bb0145","doi-asserted-by":"crossref","first-page":"E7","DOI":"10.3171\/2015.11.FOCUS15573","article-title":"Identification of residual tumor with intraoperative contrast-enhanced ultrasound during glioblastoma resection","volume":"40","author":"Prada","year":"2016","journal-title":"Neurosurg. Focus."},{"issue":"12","key":"10.1016\/j.nicl.2019.101766_bb0150","doi-asserted-by":"crossref","DOI":"10.1118\/1.4901642","article-title":"Semiautomatic registration of 3D transabdominal ultrasound images for patient repositioning during postprostatectomy radiotherapy","volume":"41","author":"Presles","year":"2014","journal-title":"Med. Phys."},{"issue":"6","key":"10.1016\/j.nicl.2019.101766_bb0155","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1016\/j.media.2007.06.008","article-title":"Clinical validation of vessel-based registration for correction of brain-shift","volume":"11","author":"Reinertsen","year":"2007","journal-title":"Med. Image Anal."},{"issue":"7","key":"10.1016\/j.nicl.2019.101766_bb0160","doi-asserted-by":"crossref","first-page":"1301","DOI":"10.1007\/s00701-014-2052-6","article-title":"Intra-operative correction of brain-shift","volume":"156","author":"Reinertsen","year":"2014","journal-title":"Acta Neurochir."},{"issue":"3","key":"10.1016\/j.nicl.2019.101766_bb0165","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1055\/s-0033-1356486","article-title":"Navigated versus non-navigated intraoperative ultrasound: is there any impact on the extent of resection of high-grade gliomas? A retrospective clinical analysis","volume":"75","author":"Renovanz","year":"2014","journal-title":"J. Neurol. Surgery"},{"issue":"7","key":"10.1016\/j.nicl.2019.101766_bb0170","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1007\/s11548-014-1099-4","article-title":"Deformable registration of preoperative MR, pre-resection ultrasound, and post-resection ultrasound images of neurosurgery","volume":"10","author":"Rivaz","year":"2015","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"issue":"2","key":"10.1016\/j.nicl.2019.101766_bb0175","doi-asserted-by":"crossref","first-page":"574","DOI":"10.1016\/j.ultrasmedbio.2014.08.013","article-title":"Near real-time robust non-rigid registration of volumetric ultrasound images for neurosurgery","volume":"41","author":"Rivaz","year":"2015","journal-title":"Ultrasound Med. Biol."},{"issue":"2","key":"10.1016\/j.nicl.2019.101766_bb0180","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1016\/j.media.2013.12.003","article-title":"Self-similarity weighted mutual information: a new nonrigid image registration metric","volume":"18","author":"Rivaz","year":"2014","journal-title":"Med. Image Anal."},{"issue":"3","key":"10.1016\/j.nicl.2019.101766_bb0185","doi-asserted-by":"crossref","first-page":"708","DOI":"10.1109\/TMI.2013.2294630","article-title":"Nonrigid registration of ultrasound and MRI using contextual conditioned mutual information","volume":"33","author":"Rivaz","year":"2014","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"2","key":"10.1016\/j.nicl.2019.101766_bb0190","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1109\/TMI.2014.2354352","article-title":"Automatic deformable MR-ultrasound registration for image-guided neurosurgery","volume":"34","author":"Rivaz","year":"2015","journal-title":"IEEE Trans. Med. Imaging"},{"issue":"2","key":"10.1016\/j.nicl.2019.101766_bb0195","doi-asserted-by":"crossref","first-page":"402","DOI":"10.1016\/j.media.2011.10.004","article-title":"Real-time image-based rigid registration of three-dimensional ultrasound","volume":"16","author":"Schneider","year":"2012","journal-title":"Med. Image Anal."},{"issue":"9","key":"10.1016\/j.nicl.2019.101766_bb0200","doi-asserted-by":"crossref","first-page":"938","DOI":"10.1002\/cnm.2582","article-title":"Automated spine and vertebrae detection in CT images using object-based image analysis","volume":"29","author":"Schwier","year":"2013","journal-title":"Int. J. Numerical Methods Biomed. Eng."},{"issue":"6","key":"10.1016\/j.nicl.2019.101766_bb0205","doi-asserted-by":"crossref","first-page":"973","DOI":"10.1007\/s00701-013-1647-7","article-title":"Ultrasound imaging in neurosurgery: approaches to minimize surgically induced image artefacts for improved resection control","volume":"155","author":"Selbekk","year":"2013","journal-title":"Acta Neurochir."},{"issue":"1","key":"10.1016\/j.nicl.2019.101766_bb0210","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1109\/42.668698","article-title":"A nonparametric method for automatic correction of intensity nonuniformity in MRI data","volume":"17","author":"Sled","year":"1998","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.nicl.2019.101766_bb0215","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1007\/978-3-211-99651-5_28","article-title":"Intra-operative imaging with 3D ultrasound in neurosurgery","volume":"109","author":"Unsg\u00e5rd","year":"2011","journal-title":"Acta Neurochir. Suppl."},{"issue":"Pt 1","key":"10.1016\/j.nicl.2019.101766_bb0220","first-page":"34","article-title":"Global registration of ultrasound to MRI using the LC2 metric for enabling neurosurgical guidance","volume":"16","author":"Wein","year":"2013","journal-title":"Med. Image Computing Computer Assisted Intervention MICCAI"},{"issue":"6","key":"10.1016\/j.nicl.2019.101766_bb0225","doi-asserted-by":"crossref","first-page":"528","DOI":"10.1016\/j.wneu.2011.06.053","article-title":"Surgery for glioblastoma multiforme: striking a balance","volume":"76","author":"Yong","year":"2011","journal-title":"World Neurosurgery"}],"container-title":["NeuroImage: Clinical"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158219301160?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2213158219301160?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T17:07:47Z","timestamp":1767114467000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2213158219301160"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":44,"alternative-id":["S2213158219301160"],"URL":"https:\/\/doi.org\/10.1016\/j.nicl.2019.101766","relation":{},"ISSN":["2213-1582"],"issn-type":[{"value":"2213-1582","type":"print"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Automatic and efficient MRI-US segmentations for improving intraoperative image fusion in image-guided neurosurgery","name":"articletitle","label":"Article Title"},{"value":"NeuroImage: Clinical","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.nicl.2019.101766","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2019 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"101766"}}