{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T17:19:47Z","timestamp":1743009587993,"version":"3.40.3"},"publisher-location":"Cham","reference-count":31,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031212055"},{"type":"electronic","value":"9783031212062"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-21206-2_5","type":"book-chapter","created":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T01:02:53Z","timestamp":1669856573000},"page":"50-61","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["The Impact of\u00a0Susceptibility Distortion Correction Protocols on\u00a0Adolescent Diffusion MRI Measures"],"prefix":"10.1007","author":[{"given":"Talia M.","family":"Nir","sequence":"first","affiliation":[]},{"given":"Julio E.","family":"Villal\u00f3n-Reina","sequence":"additional","affiliation":[]},{"given":"Paul M.","family":"Thompson","sequence":"additional","affiliation":[]},{"given":"Neda","family":"Jahanshad","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,12,1]]},"reference":[{"key":"5_CR1","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1016\/j.neuroimage.2017.12.097","volume":"182","author":"C Lebel","year":"2018","unstructured":"Lebel, C., Deoni, S.: The development of brain white matter microstructure. Neuroimage 182, 207\u2013218 (2018)","journal-title":"Neuroimage"},{"key":"5_CR2","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1007\/978-1-4939-3118-7_7","volume-title":"Diffusion Tensor Imaging","author":"CMW Tax","year":"2016","unstructured":"Tax, C.M.W., Vos, S.B., Leemans, A.: Checking and correcting DTI data. In: Van Hecke, W., Emsell, L., Sunaert, S. (eds.) Diffusion Tensor Imaging, pp. 127\u2013150. Springer, New York (2016). https:\/\/doi.org\/10.1007\/978-1-4939-3118-7_7"},{"key":"5_CR3","doi-asserted-by":"publisher","first-page":"1063","DOI":"10.1016\/j.neuroimage.2015.10.019","volume":"125","author":"JLR Andersson","year":"2016","unstructured":"Andersson, J.L.R., Sotiropoulos, S.N.: An integrated approach to correction for off-resonance effects and subject movement in diffusion MR imaging. Neuroimage 125, 1063\u20131078 (2016)","journal-title":"Neuroimage"},{"issue":"2","key":"5_CR4","doi-asserted-by":"publisher","first-page":"870","DOI":"10.1016\/S1053-8119(03)00336-7","volume":"20","author":"JLR Andersson","year":"2003","unstructured":"Andersson, J.L.R., Skare, S., Ashburner, J.: How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging. Neuroimage 20(2), 870\u2013888 (2003)","journal-title":"Neuroimage"},{"issue":"Suppl 1","key":"5_CR5","doi-asserted-by":"publisher","first-page":"S208","DOI":"10.1016\/j.neuroimage.2004.07.051","volume":"23","author":"SM Smith","year":"2004","unstructured":"Smith, S.M., et al.: Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 23(Suppl 1), S208-19 (2004)","journal-title":"Neuroimage"},{"key":"5_CR6","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1016\/j.neuroimage.2014.11.042","volume":"106","author":"MO Irfanoglu","year":"2015","unstructured":"Irfanoglu, M.O., et al.: DR-BUDDI (diffeomorphic registration for blip-up blip- down diffusion imaging) method for correcting echo planar imaging distortions. Neuroimage 106, 284\u2013299 (2015)","journal-title":"Neuroimage"},{"issue":"18","key":"5_CR7","doi-asserted-by":"publisher","first-page":"5715","DOI":"10.1088\/0031-9155\/57\/18\/5715","volume":"57","author":"L Ruthotto","year":"2012","unstructured":"Ruthotto, L., et al.: Diffeomorphic susceptibility artifact correction of diffusion weighted magnetic resonance images. Phys. Med. Biol. 57(18), 5715\u20135731 (2012)","journal-title":"Phys. Med. Biol."},{"key":"5_CR8","doi-asserted-by":"publisher","first-page":"972","DOI":"10.1016\/j.neuroimage.2018.09.060","volume":"183","author":"MP Harms","year":"2018","unstructured":"Harms, M.P., et al.: Extending the human connectome project across ages: imaging protocols for the lifespan development and aging projects. Neuroimage 183, 972\u2013984 (2018)","journal-title":"Neuroimage"},{"key":"5_CR9","doi-asserted-by":"publisher","first-page":"456","DOI":"10.1016\/j.neuroimage.2018.08.050","volume":"183","author":"LH Somerville","year":"2018","unstructured":"Somerville, L.H., et al.: The lifespan human connectome project in development: a large-scale study of brain connectivity development in 5\u201321 year olds. Neuroimage 183, 456\u2013468 (2018)","journal-title":"Neuroimage"},{"key":"5_CR10","doi-asserted-by":"publisher","first-page":"2","DOI":"10.3389\/fninf.2019.00002","volume":"13","author":"A Zavaliangos-Petropulu","year":"2019","unstructured":"Zavaliangos-Petropulu, A., et al.: Diffusion MRI indices and their relation to cognitive impairment in brain aging: the updated multi-protocol Approach in ADNI3. Front. Neuroinform. 13, 2 (2019)","journal-title":"Front. Neuroinform."},{"issue":"4","key":"5_CR11","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1016\/j.pneurobio.2011.09.005","volume":"95","author":"PPM Initiative","year":"2011","unstructured":"Initiative, P.P.M.: The Parkinson progression marker initiative (PPMI). Prog. Neurobiol. 95(4), 629\u2013635 (2011)","journal-title":"Prog. Neurobiol."},{"unstructured":"Hagler, D.J., Jr., et al.: Image processing and analysis methods for the adolescent brain cognitive development study. Neuroimage 202, 116091 (2019)","key":"5_CR12"},{"issue":"11","key":"5_CR13","doi-asserted-by":"publisher","first-page":"1523","DOI":"10.1038\/nn.4393","volume":"19","author":"KL Miller","year":"2016","unstructured":"Miller, K.L., et al.: Multimodal population brain imaging in the UK Biobank prospective epidemiological study. Nat. Neurosci. 19(11), 1523\u20131536 (2016)","journal-title":"Nat. Neurosci."},{"key":"5_CR14","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.mri.2019.05.008","volume":"64","author":"KG Schilling","year":"2019","unstructured":"Schilling, K.G., et al.: Synthesized b0 for diffusion distortion correction (Synb0- DisCo). Magn. Reson. Imaging 64, 62\u201370 (2019)","journal-title":"Magn. Reson. Imaging"},{"issue":"12","key":"5_CR15","doi-asserted-by":"publisher","first-page":"1416","DOI":"10.1093\/gerona\/63.12.1416","volume":"63","author":"L Ferrucci","year":"2008","unstructured":"Ferrucci, L.: The Baltimore Longitudinal Study of Aging (BLSA): a 50-year-long journey and plans for the future. J. Gerontol. A Biol. Sci. Med. Sci. 63(12), 1416\u20131419 (2008)","journal-title":"J. Gerontol. A Biol. Sci. Med. Sci."},{"issue":"1","key":"5_CR16","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/S0006-3495(94)80775-1","volume":"66","author":"PJ Basser","year":"1994","unstructured":"Basser, P.J., Mattiello, J., LeBihan, D.: MR diffusion tensor spectroscopy and imaging. Biophys. J . 66(1), 259\u2013267 (1994)","journal-title":"Biophys. J ."},{"issue":"4","key":"5_CR17","doi-asserted-by":"publisher","first-page":"1000","DOI":"10.1016\/j.neuroimage.2012.03.072","volume":"61","author":"H Zhang","year":"2012","unstructured":"Zhang, H., et al.: NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain. Neuroimage 61(4), 1000\u20131016 (2012)","journal-title":"Neuroimage"},{"key":"5_CR18","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1016\/j.neuroimage.2016.08.016","volume":"142","author":"J Veraart","year":"2016","unstructured":"Veraart, J., et al.: Denoising of diffusion MRI using random matrix theory. Neuroimage 142, 394\u2013406 (2016)","journal-title":"Neuroimage"},{"key":"5_CR19","doi-asserted-by":"publisher","first-page":"8","DOI":"10.3389\/fninf.2014.00008","volume":"8","author":"E Garyfallidis","year":"2014","unstructured":"Garyfallidis, E., et al.: Dipy, a library for the analysis of diffusion MRI data. Front. Neuroinform. 8, 8 (2014)","journal-title":"Front. Neuroinform."},{"issue":"1","key":"5_CR20","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1002\/mrm.25866","volume":"76","author":"J Veraart","year":"2016","unstructured":"Veraart, J., et al.: Gibbs ringing in diffusion MRI. Magn. Reson. Med. 76(1), 301\u2013314 (2016)","journal-title":"Magn. Reson. Med."},{"issue":"2","key":"5_CR21","doi-asserted-by":"publisher","first-page":"1357","DOI":"10.1016\/j.neuroimage.2009.09.057","volume":"49","author":"L Zhan","year":"2010","unstructured":"Zhan, L., et al.: How does angular resolution affect diffusion imaging measures? Neuroimage 49(2), 1357\u20131371 (2010)","journal-title":"Neuroimage"},{"key":"5_CR22","doi-asserted-by":"publisher","first-page":"556","DOI":"10.1016\/j.neuroimage.2016.06.058","volume":"141","author":"JLR Andersson","year":"2016","unstructured":"Andersson, J.L.R., et al.: Incorporating outlier detection and replacement into a non-parametric framework for movement and distortion correction of diffusion MR images. Neuroimage 141, 556\u2013572 (2016)","journal-title":"Neuroimage"},{"issue":"3","key":"5_CR23","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1002\/hbm.10062","volume":"17","author":"SM Smith","year":"2002","unstructured":"Smith, S.M.: Fast robust automated brain extraction. Hum. Brain Mapp. 17(3), 143\u2013155 (2002)","journal-title":"Hum. Brain Mapp."},{"issue":"1","key":"5_CR24","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1109\/42.906424","volume":"20","author":"Y Zhang","year":"2001","unstructured":"Zhang, Y., Brady, M., Smith, S.: Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans. Med. Imaging 20(1), 45\u201357 (2001)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"5_CR25","doi-asserted-by":"publisher","first-page":"64","DOI":"10.3389\/fninf.2019.00064","volume":"13","author":"RHJ Fick","year":"2019","unstructured":"Fick, R.H.J., Wassermann, D., Deriche, R.: The Dmipy toolbox: diffusion MRI multi-compartment modeling and microstructure recovery made easy. Front. Neuroinform. 13, 64 (2019)","journal-title":"Front. Neuroinform."},{"issue":"3","key":"5_CR26","doi-asserted-by":"publisher","first-page":"2033","DOI":"10.1016\/j.neuroimage.2010.09.025","volume":"54","author":"BB Avants","year":"2011","unstructured":"Avants, B.B., et al.: A reproducible evaluation of ANTs similarity metric performance in brain image registration. Neuroimage 54(3), 2033\u20132044 (2011)","journal-title":"Neuroimage"},{"key":"5_CR27","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.neuroimage.2018.05.027","volume":"178","author":"F-C Yeh","year":"2018","unstructured":"Yeh, F.-C., et al.: Population-averaged atlas of the macroscale human structural connectome and its network topology. Neuroimage 178, 57\u201368 (2018)","journal-title":"Neuroimage"},{"issue":"2","key":"5_CR28","doi-asserted-by":"publisher","first-page":"570","DOI":"10.1016\/j.neuroimage.2007.12.035","volume":"40","author":"S Mori","year":"2008","unstructured":"Mori, S., et al.: Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM template. Neuroimage 40(2), 570\u2013582 (2008)","journal-title":"Neuroimage"},{"issue":"30","key":"5_CR29","doi-asserted-by":"publisher","first-page":"10937","DOI":"10.1523\/JNEUROSCI.5302-10.2011","volume":"31","author":"C Lebel","year":"2011","unstructured":"Lebel, C., Beaulieu, C.: Longitudinal development of human brain wiring continues from childhood into adulthood. J. Neurosci. 31(30), 10937\u201310947 (2011)","journal-title":"J. Neurosci."},{"issue":"1","key":"5_CR30","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","volume":"57","author":"Y Benjamini","year":"1995","unstructured":"Benjamini, Y., Hochberg, Y.: Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. 57(1), 289\u2013300 (1995)","journal-title":"J. R. Stat. Soc."},{"issue":"4","key":"5_CR31","doi-asserted-by":"publisher","first-page":"1487","DOI":"10.1016\/j.neuroimage.2006.02.024","volume":"31","author":"SM Smith","year":"2006","unstructured":"Smith, S.M., et al.: Tract-based spatial statistics: voxelwise analysis of multisubject diffusion data. Neuroimage 31(4), 1487\u20131505 (2006)","journal-title":"Neuroimage"}],"container-title":["Lecture Notes in Computer Science","Computational Diffusion MRI"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-21206-2_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T19:35:48Z","timestamp":1728502548000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-21206-2_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031212055","9783031212062"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-21206-2_5","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"1 December 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CDMRI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Computational Diffusion MRI","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Singapore","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cdmri2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/cmic.cs.ucl.ac.uk\/cdmri\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT3","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"13","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"12","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"92% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}