{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T13:25:27Z","timestamp":1740144327581,"version":"3.37.3"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2022,9,29]],"date-time":"2022-09-29T00:00:00Z","timestamp":1664409600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,9,29]],"date-time":"2022-09-29T00:00:00Z","timestamp":1664409600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100002790","name":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002790","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J CARS"],"DOI":"10.1007\/s11548-022-02749-2","type":"journal-article","created":{"date-parts":[[2022,9,29]],"date-time":"2022-09-29T04:02:41Z","timestamp":1664424161000},"page":"367-377","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["DiffeoRaptor: diffeomorphic inter-modal image registration using RaPTOR"],"prefix":"10.1007","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2918-7812","authenticated-orcid":false,"given":"Nima","family":"Masoumi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hassan","family":"Rivaz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. Omair","family":"Ahmad","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiming","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,29]]},"reference":[{"key":"2749_CR1","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1007\/s11263-009-0219-z","volume":"85","author":"M Hernandez","year":"2009","unstructured":"Hernandez M, Bossa MN, Olmos S (2009) Registration of anatomical images using paths of diffeomorphisms parameterized with stationary vector field flows. Int J Comput Vis 85:291\u2013306","journal-title":"Int J Comput Vis"},{"key":"2749_CR2","doi-asserted-by":"publisher","first-page":"52","DOI":"10.3389\/fnins.2020.00052","volume":"14","author":"D Tward","year":"2020","unstructured":"Tward D, Brown T, Kageyama Y, Patel J, Hou Z, Mori S, Albert M, Troncoso J, Miller M (2020) Diffeomorphic registration with intensity transformation and missing data: application to 3D digital pathology of Alzheimer\u2019s disease. Front Neurosci 14:52","journal-title":"Front Neurosci"},{"key":"2749_CR3","doi-asserted-by":"crossref","unstructured":"Zhang M, Golland P (2016) Statistical shape analysis: from landmarks to diffeomorphisms. In: Medical image analysis, ISSN: 1361-8415, vol 33, pp 155\u2013158","DOI":"10.1016\/j.media.2016.06.025"},{"key":"2749_CR4","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/j.neuroimage.2017.10.060","volume":"166","author":"C Blaiotta","year":"2018","unstructured":"Blaiotta C, Freund P, Cardoso MJ, Ashburner J (2018) Generative diffeomorphic modelling of large MRI data sets for probabilistic template construction. NeuroImage 166:117\u2013134","journal-title":"NeuroImage"},{"issue":"8","key":"2749_CR5","doi-asserted-by":"publisher","first-page":"1563","DOI":"10.1109\/TBME.2016.2574816","volume":"63","author":"Z Xu","year":"2016","unstructured":"Xu Z, Lee CP, Heinrich MP, Modat M, Rueckert D, Ourselin S, Abramson RG, Landman BA (2016) Evaluation of six registration methods for the human abdomen on clinically acquired CT. IEEE Trans Biomed Eng 63(8):1563\u20131572","journal-title":"IEEE Trans Biomed Eng"},{"issue":"2","key":"2749_CR6","doi-asserted-by":"publisher","first-page":"139","DOI":"10.1023\/B:VISI.0000043755.93987.aa","volume":"61","author":"M Beg","year":"2005","unstructured":"Beg M, Miller M, Trouv\u00e9 A, Younes L (2005) Computing large deformation metric mappings via geodesic flows of diffeomorphisms. Int J Comput Vis 61(2):139\u2013157","journal-title":"Int J Comput Vis"},{"issue":"2","key":"2749_CR7","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1007\/s11263-011-0481-8","volume":"97","author":"FX Vialard","year":"2012","unstructured":"Vialard FX, Risser L, Rueckert D, Cotter CJ (2012) Diffeomorphic 3D image registration via geodesic shooting using an efficient adjoint calculation. Int J Comput Vis 97(2):229\u2013241","journal-title":"Int J Comput Vis"},{"key":"2749_CR8","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/s11263-018-1099-x","volume":"127","author":"M Zhang","year":"2019","unstructured":"Zhang M, Fletcher PT (2019) Fast diffeomorphic image registration via Fourier-approximated lie algebras. Int J Comput Vis 127:61\u201373","journal-title":"Int J Comput Vis"},{"key":"2749_CR9","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1007\/s12021-019-09438-7","volume":"18","author":"J Wu","year":"2020","unstructured":"Wu J, Tang X (2020) A large deformation diffeomorphic framework for fast brain image registration via parallel computing and optimization. Neuroinformatics 18:251\u2013266","journal-title":"Neuroinformatics"},{"key":"2749_CR10","volume":"3","author":"X Chen","year":"2021","unstructured":"Chen X, Diaz-Pinto A, Ravikumar N, Frangi AF (2021) Deep learning in medical image registration. Prog Biomed Eng 3:012003","journal-title":"Prog Biomed Eng"},{"key":"2749_CR11","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1016\/j.media.2019.07.006","volume":"57","author":"AV Dalca","year":"2019","unstructured":"Dalca AV, Balakrishnan G, Guttag J, Sabuncu MR (2019) Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces. Med Image Anal 57:226\u2013236","journal-title":"Med Image Anal"},{"key":"2749_CR12","doi-asserted-by":"crossref","unstructured":"Wang J, Zhang M (2020) Deepflash: an efficient network for learning-based medical image registration. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp 4444\u20134452","DOI":"10.1109\/CVPR42600.2020.00450"},{"key":"2749_CR13","doi-asserted-by":"crossref","unstructured":"Hering A, Hansen L, Mok TC, Chung A, Siebert H, Her S, Lange A, Kuckertz S, Heldmann S, Shao W, Vesal S (2021) Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. arXiv preprint arXiv:2112.04489","DOI":"10.1109\/TMI.2022.3213983"},{"issue":"6","key":"2749_CR14","doi-asserted-by":"publisher","first-page":"1259","DOI":"10.1016\/j.media.2012.04.006","volume":"16","author":"J Mitra","year":"2012","unstructured":"Mitra J, Kato Z, Mart\u00ed R, Oliver A, Llad\u00f3 X, Sidib\u00e9 D, Ghose S, Vilanova JC, Comet J, Meriaudeau F (2012) A spline-based non-linear diffeomorphism for multimodal prostate registration. Med Image Anal 16(6):1259\u20131279","journal-title":"Med Image Anal"},{"key":"2749_CR15","doi-asserted-by":"crossref","unstructured":"Kutten KS, Charon N, Miller MI, Ratnanather JT, Mateisky J, Baden AD (2017) A large deformation diffeomorphic approach to registration of CLARITY images via mutual information. In: Medical image computing and computer assisted intervention\u2014MICCAI, 2017, vol 10433. Lecture Notes in Computer Science. Springer, Cham","DOI":"10.1007\/978-3-319-66182-7_32"},{"issue":"11","key":"2749_CR16","doi-asserted-by":"publisher","first-page":"2413","DOI":"10.1109\/TMI.2016.2576360","volume":"35","author":"S Reaungamornrat","year":"2016","unstructured":"Reaungamornrat S, Silva TD, Uneri A, Vogt S, Kleinszig G, Khanna AJ, Wolinsky JP, Prince JL, Siewerdsen JH (2016) MIND demons: symmetric diffeomorphic deformable registration of MR and CT for image-guided spine surgery. IEEE Trans Med Imaging 35(11):2413\u20132424","journal-title":"IEEE Trans Med Imaging"},{"issue":"1","key":"2749_CR17","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.media.2007.06.004","volume":"12","author":"BB Avants","year":"2008","unstructured":"Avants BB, Epstein CL, Grossman M, Gee JC (2008) Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain. Med Image Anal 12(1):26\u201341","journal-title":"Med Image Anal"},{"issue":"1 Suppl","key":"2749_CR18","doi-asserted-by":"publisher","first-page":"S61","DOI":"10.1016\/j.neuroimage.2008.10.040","volume":"45","author":"T Vercauteren","year":"2009","unstructured":"Vercauteren T, Pennec X, Perchant A, Ayache N (2009) Diffeomorphic demons: efficient non-parametric image registration. Neuroimage 45(1 Suppl):S61-72","journal-title":"Neuroimage"},{"issue":"7","key":"2749_CR19","doi-asserted-by":"publisher","first-page":"1423","DOI":"10.1016\/j.media.2012.05.008","volume":"16","author":"MP Heinrich","year":"2012","unstructured":"Heinrich MP, Jenkinson M, Bhushan M, Matin T, Gleeson FV, Brady M, Schnabel JA (2012) MIND: modality independent neighbourhood descriptor for multi-modal deformable registration. Med Image Anal 16(7):1423\u20131435","journal-title":"Med Image Anal"},{"issue":"2","key":"2749_CR20","doi-asserted-by":"publisher","first-page":"366","DOI":"10.1109\/TMI.2014.2354352","volume":"34","author":"H Rivaz","year":"2015","unstructured":"Rivaz H, Chen SJ, Collins DL (2015) Automatic deformable MR-ultrasound registration for image-guided neurosurgery. IEEE Trans Med Imaging 34(2):366\u201380","journal-title":"IEEE Trans Med Imaging"},{"key":"2749_CR21","doi-asserted-by":"publisher","first-page":"3253","DOI":"10.1118\/1.4709600","volume":"39","author":"L Mercier","year":"2012","unstructured":"Mercier L, Maestro RFD, Petrecca K, Araujo D, Haegelen C, Collins DL (2012) Online database of clinical MR and ultrasound images of brain tumors. Med Phys 39:3253","journal-title":"Med Phys"},{"key":"2749_CR22","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1007\/s11548-018-1897-1","volume":"14","author":"N Masoumi","year":"2019","unstructured":"Masoumi N, Xiao Y, Rivaz H (2019) ARENA: inter-modality affine registration using evolutionary strategy. Int J Comput Assist Radiol Surg 14:441\u2013450","journal-title":"Int J Comput Assist Radiol Surg"},{"key":"2749_CR23","doi-asserted-by":"publisher","first-page":"3875","DOI":"10.1002\/mp.12268","volume":"44","author":"Y Xiao","year":"2017","unstructured":"Xiao Y, Fortin M, Unsg\u00e5rd G, Rivaz H, Reinertsen I (2017) REtroSpective evaluation of cerebral tumors (RESECT): a clinical database of pre-operative MRI and intra-operative ultrasound in low-grade glioma surgeries. Med Phys 44:3875\u20133882","journal-title":"Med Phys"},{"key":"2749_CR24","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1007\/s11548-021-02323-2","volume":"16","author":"N Masoumi","year":"2021","unstructured":"Masoumi N, Belasso CJ, Ahmad MO, Benali H, Xiao Y, Rivaz H (2021) Multimodal 3D ultrasound and CT in image-guided spinal surgery: public database and new registration algorithms. Int J Comput Assist Radiol Surg 16:555\u2013565","journal-title":"Int J Comput Assist Radiol Surg"},{"key":"2749_CR25","doi-asserted-by":"crossref","unstructured":"Singh N, Hinkle J, Joshi S, Fletcher PT (2013) A vector momenta formulation of diffeomorphisms for improved geodesic regression and atlas construction. In: IEEE 10th international symposium on biomedical imaging, pp 1219\u20131222","DOI":"10.1109\/ISBI.2013.6556700"},{"issue":"2","key":"2749_CR26","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1080\/10255842.2012.670855","volume":"17","author":"FPM Oliveira","year":"2014","unstructured":"Oliveira FPM, Tavares JMRS (2014) Medical image registration: a review. Comput Methods Biomech Biomed Eng 17(2):73\u201393","journal-title":"Comput Methods Biomech Biomed Eng"},{"issue":"3","key":"2749_CR27","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1016\/j.cmpb.2009.09.002","volume":"98","author":"M Modat","year":"2010","unstructured":"Modat M, Ridgway GR, Taylor ZA, Lehmann M, Barnes J, Hawkes DJ, Fox NC, Ourselin S (2010) Fast free-form deformation using graphics processing units. Comput Methods Program Biomed 98(3):278\u2013284","journal-title":"Comput Methods Program Biomed"},{"key":"2749_CR28","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1007\/s10851-005-3624-0","volume":"24","author":"MI Miller","year":"2006","unstructured":"Miller MI, Trouv\u00e9 A, Younes L (2006) Geodesic shooting for computational anatomy. J Math Imaging Vis 24:209\u2013228","journal-title":"J Math Imaging Vis"},{"issue":"8","key":"2749_CR29","doi-asserted-by":"publisher","first-page":"1357","DOI":"10.1109\/83.855431","volume":"9","author":"SC Joshi","year":"2000","unstructured":"Joshi SC, Miller MI (2000) Landmark matching via large deformation diffeomorphisms. IEEE Trans Image Process 9(8):1357\u20131370","journal-title":"IEEE Trans Image Process"},{"key":"2749_CR30","doi-asserted-by":"crossref","unstructured":"Roche A, Malandain G, Pennec X, Ayache N (1998) The correlation ratio as a new similarity measure for multimodal image registration. In: Medical image computing and computer-assisted intervention\u2014MICCAI98, Lecture Notes in Computer Science, vol 1496. Springer, Berlin, Heidelberg","DOI":"10.1007\/BFb0056301"},{"key":"2749_CR31","doi-asserted-by":"crossref","unstructured":"LaMontagne PJ, Benzinger TL, Morris JC, Keefe S, Hornbeck R, Xiong C, Grant E, Hassenstab J, Moulder K, Vlassenko A Raichle ME (2019) OASIS-3: longitudinal neuroimaging, clinical, and cognitive dataset for normal aging and Alzheimer disease. MedRxiv","DOI":"10.1101\/2019.12.13.19014902"},{"issue":"6","key":"2749_CR32","doi-asserted-by":"publisher","first-page":"1045","DOI":"10.1007\/s10278-013-9622-7","volume":"26","author":"K Clark","year":"2013","unstructured":"Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F (2013) The cancer imaging archive (TCIA): maintaining and operating a public information repository. J Digit Imaging 26(6):1045\u20131057","journal-title":"J Digit Imaging"},{"issue":"365","key":"2749_CR33","first-page":"1","volume":"2","author":"BB Avants","year":"2009","unstructured":"Avants BB, Tustison N, Song G (2009) Advanced normalization tools (ANTS). Insight j 2(365):1\u201335","journal-title":"Insight j"},{"key":"2749_CR34","doi-asserted-by":"publisher","first-page":"30","DOI":"10.3389\/fninf.2016.00030","volume":"10","author":"JV Manj\u00f3n","year":"2016","unstructured":"Manj\u00f3n JV, Coup\u00e9 P (2016) volBrain: an online MRI brain volumetry system. Front Neuroinform 10:30","journal-title":"Front Neuroinform"},{"key":"2749_CR35","doi-asserted-by":"crossref","unstructured":"Manj\u00f3n JV, Eskildsen S, Coup\u00e9 P, Romero J, Collins L, Robles M (2014) NICE: nonlocal intracranial cavity extraction. Int J Biomed Imaging 4191:820205","DOI":"10.1155\/2014\/820205"},{"key":"2749_CR36","first-page":"58","volume":"9","author":"G Grabner","year":"2006","unstructured":"Grabner G, Janke AL, Budge MM, Smith D, Pruessner J, Collins DL (2006) Symmetric atlasing and model based segmentation: an application to the hippocampus in older adults. Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv 9:58\u201366","journal-title":"Med Image Comput Comput Assist Interv Int Conf Med Image Comput Comput Assist Interv"},{"issue":"2","key":"2749_CR37","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1109\/TMI.2011.2163944","volume":"31","author":"T Rohlfing","year":"2011","unstructured":"Rohlfing T (2011) Image similarity and tissue overlaps as surrogates for image registration accuracy: widely used but unreliable. IEEE Trans Med Imaging 31(2):153\u2013163","journal-title":"IEEE Trans Med Imaging"}],"container-title":["International Journal of Computer Assisted Radiology and Surgery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-022-02749-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11548-022-02749-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11548-022-02749-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,31]],"date-time":"2023-01-31T14:33:26Z","timestamp":1675175606000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11548-022-02749-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,29]]},"references-count":37,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2023,2]]}},"alternative-id":["2749"],"URL":"https:\/\/doi.org\/10.1007\/s11548-022-02749-2","relation":{},"ISSN":["1861-6429"],"issn-type":[{"type":"electronic","value":"1861-6429"}],"subject":[],"published":{"date-parts":[[2022,9,29]]},"assertion":[{"value":"22 February 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 September 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 September 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that there is no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and\/or national research committee and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical standard"}},{"value":"Informed consent was obtained from all participants included in the study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}