{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,5]],"date-time":"2024-08-05T00:09:05Z","timestamp":1722816545274},"reference-count":42,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2020,6,29]],"date-time":"2020-06-29T00:00:00Z","timestamp":1593388800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000265","name":"Medical Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000265","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010269","name":"Wellcome Trust","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010269","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["NeuroImage"],"published-print":{"date-parts":[[2020,10]]},"DOI":"10.1016\/j.neuroimage.2020.117113","type":"journal-article","created":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T06:51:08Z","timestamp":1593586268000},"page":"117113","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":7,"special_numbering":"C","title":["Use of multi-flip angle measurements to account for transmit inhomogeneity and non-Gaussian diffusion in DW-SSFP"],"prefix":"10.1016","volume":"220","author":[{"given":"Benjamin C.","family":"Tendler","sequence":"first","affiliation":[]},{"given":"Sean","family":"Foxley","sequence":"additional","affiliation":[]},{"given":"Moises","family":"Hernandez-Fernandez","sequence":"additional","affiliation":[]},{"given":"Michiel","family":"Cottaar","sequence":"additional","affiliation":[]},{"given":"Connor","family":"Scott","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-1825-5434","authenticated-orcid":false,"given":"Olaf","family":"Ansorge","sequence":"additional","affiliation":[]},{"given":"Karla L.","family":"Miller","sequence":"additional","affiliation":[]},{"given":"Saad","family":"Jbabdi","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.neuroimage.2020.117113_bib1","doi-asserted-by":"crossref","DOI":"10.1111\/j.1460-9568.2010.07445.x","article-title":"MRI predictors of long-term evolution in amyotrophic lateral sclerosis","author":"Agosta","year":"2010","journal-title":"Eur. J. Neurosci."},{"key":"10.1016\/j.neuroimage.2020.117113_bib2","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2010.09.025","article-title":"A\u00a0reproducible evaluation of ANTs similarity metric performance in brain image registration","author":"Avants","year":"2011","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2020.117113_bib3","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2006.09.018","article-title":"Probabilistic diffusion tractography with multiple fibre orientations: what can we gain?","author":"Behrens","year":"2007","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2020.117113_bib4","doi-asserted-by":"crossref","DOI":"10.1098\/rspb.2015.1203","article-title":"Diffusion tensor imaging of dolphin brains reveals direct auditory pathway to temporal lobe","author":"Berns","year":"2015","journal-title":"Proc. R. Soc. B Biol. Sci."},{"key":"10.1016\/j.neuroimage.2020.117113_bib5","doi-asserted-by":"crossref","DOI":"10.3109\/02841859909175593","article-title":"Optimising imaging parameters for Post Mortem MR imaging of the human brain","author":"Blamire","year":"1999","journal-title":"Acta Radiol."},{"key":"10.1016\/j.neuroimage.2020.117113_bib6","doi-asserted-by":"crossref","DOI":"10.1002\/mrm.1910290212","article-title":"The diffusion sensitivity of fast steady-state free precession imaging","author":"Buxton","year":"1993","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.neuroimage.2020.117113_bib7","doi-asserted-by":"crossref","DOI":"10.1016\/j.nicl.2017.04.024","article-title":"Pathology of callosal damage in ALS: an ex-vivo, 7 T diffusion tensor MRI study","author":"Cardenas","year":"2017","journal-title":"NeuroImage Clin"},{"key":"10.1016\/j.neuroimage.2020.117113_bib8","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2007.02.039","article-title":"The effects of brain tissue decomposition on diffusion tensor imaging and tractography","author":"D\u2019Arceuil","year":"2007","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2020.117113_bib9","doi-asserted-by":"crossref","DOI":"10.1002\/mrm.21909","article-title":"Postmortem MRI of human brain hemispheres: T 2 relaxation times during formaldehyde fixation","author":"Dawe","year":"2009","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.neuroimage.2020.117113_bib10","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2013.03.015","article-title":"Improving alignment in Tract-based spatial statistics: evaluation and optimization of image registration","author":"De Groot","year":"2013","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2020.117113_bib11","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2014.08.014","article-title":"Improving diffusion-weighted imaging of post-mortem human brains: SSFP at 7T","author":"Foxley","year":"2014","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2020.117113_bib12","first-page":"4438","article-title":"Correcting for B1 inhomogeneities in post-mortem DWSSFP human brain data at 7T using multiple flip angles","author":"Foxley","year":"2014","journal-title":"Proc. Intl. Soc. Mag. Reson. Med."},{"key":"10.1016\/j.neuroimage.2020.117113_bib13","doi-asserted-by":"crossref","DOI":"10.1063\/1.1389859","article-title":"Steady-state free precession experiments and exact treatment of diffusion in a uniform gradient","author":"Freed","year":"2001","journal-title":"J.\u00a0Chem. Phys."},{"key":"10.1016\/j.neuroimage.2020.117113_bib14","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2019.116087","article-title":"Ultra-high resolution and multi-shell diffusion MRI of intact ex vivo human brains using kT-dSTEAM at 9.4T","author":"Fritz","year":"2019","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2020.117113_bib15","doi-asserted-by":"crossref","first-page":"910","DOI":"10.1002\/mrm.1910340618","article-title":"The rician distribution of noisy MRI data","volume":"34","author":"Gudbjartsson","year":"1995","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.neuroimage.2020.117113_bib16","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2018.12.015","article-title":"Using GPUs to accelerate computational diffusion MRI: from microstructure estimation to tractography and connectomes","author":"Hernandez-Fernandez","year":"2019","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2020.117113_bib17","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2006.05.044","article-title":"Topography of the human corpus callosum revisited-Comprehensive fiber tractography using diffusion tensor magnetic resonance imaging","author":"Hofer","year":"2006","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2020.117113_bib18","doi-asserted-by":"crossref","DOI":"10.1002\/mrm.24204","article-title":"Model-based analysis of multishell diffusion MR data for tractography: how to get over fitting problems","author":"Jbabdi","year":"2012","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.neuroimage.2020.117113_bib19","doi-asserted-by":"crossref","first-page":"825","DOI":"10.1006\/nimg.2002.1132","article-title":"Improved optimization for the robust and accurate linear registration and motion correction of brain images","volume":"17","author":"Jenkinson","year":"2002","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2020.117113_bib20","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2011.09.015","article-title":"FSL - review","author":"Jenkinson","year":"2012","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2020.117113_bib21","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/S1361-8415(01)00036-6","article-title":"A\u00a0global optimisation method for robust affine registration of brain images","volume":"5","author":"Jenkinson","year":"2001","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.neuroimage.2020.117113_bib22","doi-asserted-by":"crossref","DOI":"10.1002\/mrm.20508","article-title":"Diffusional kurtosis imaging: the quantification of non-Gaussian water diffusion by means of magnetic resonance imaging","author":"Jensen","year":"2005","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.neuroimage.2020.117113_bib23","doi-asserted-by":"crossref","DOI":"10.1002\/mrm.20283","article-title":"\u201cSquashing peanuts and smashing pumpkins\u201d: how noise distorts diffusion-weighted MR data","author":"Jones","year":"2004","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.neuroimage.2020.117113_bib24","doi-asserted-by":"crossref","DOI":"10.1002\/mrm.26054","article-title":"Gibbs-ringing artifact removal based on local subvoxel-shifts","author":"Kellner","year":"2016","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.neuroimage.2020.117113_bib25","series-title":"Proceedings of the Second Workshop on the LLVM Compiler Infrastructure in HPC - LLVM \u201915","article-title":"Numba: a LLVM-based python JIT compiler","author":"Lam","year":"2015"},{"key":"10.1016\/j.neuroimage.2020.117113_bib26","doi-asserted-by":"crossref","DOI":"10.1090\/qam\/10666","article-title":"A\u00a0method for the solution of certain non-linear problems in least squares","author":"Levenberg","year":"1944","journal-title":"Q.\u00a0Appl. Math."},{"key":"10.1016\/j.neuroimage.2020.117113_bib27","doi-asserted-by":"crossref","DOI":"10.1002\/nbm.1020","article-title":"Three-dimensional characterization of non-Gaussian water diffusion in humans using diffusion kurtosis imaging","author":"Lu","year":"2006","journal-title":"NMR Biomed."},{"key":"10.1016\/j.neuroimage.2020.117113_bib28","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2009.01.008","article-title":"High resolution diffusion-weighted imaging in fixed human brain using diffusion-weighted steady state free precession","author":"McNab","year":"2009","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2020.117113_bib29","doi-asserted-by":"crossref","DOI":"10.1002\/mrm.21668","article-title":"Sensitivity of diffusion weighted steady state free precession to anisotropic diffusion","author":"McNab","year":"2008","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.neuroimage.2020.117113_bib30","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2011.09.054","article-title":"Diffusion tractography of post-mortem human brains: optimization and comparison of spin echo and steady-state free precession techniques","author":"Miller","year":"2012","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2020.117113_bib31","doi-asserted-by":"crossref","DOI":"10.1109\/MCSE.2011.36","article-title":"Python for scientists and engineers","author":"Millman","year":"2011","journal-title":"Comput. Sci. Eng."},{"key":"10.1016\/j.neuroimage.2020.117113_bib32","doi-asserted-by":"crossref","DOI":"10.2463\/mrms.2014-0016","article-title":"Interpretation of diffusion MR imaging data using a gamma distribution model","author":"Oshio","year":"2014","journal-title":"Magn. Reson. Med. Sci."},{"key":"10.1016\/j.neuroimage.2020.117113_bib33","doi-asserted-by":"crossref","DOI":"10.1186\/s12868-018-0416-1","article-title":"Dissecting the pathobiology of altered MRI signal in amyotrophic lateral sclerosis: a post mortem whole brain sampling strategy for the integration of ultra-high-field MRI and quantitative neuropathology","volume":"19","author":"Pallebage-Gamarallage","year":"2018","journal-title":"BMC Neurosci."},{"key":"10.1016\/j.neuroimage.2020.117113_bib34","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2008.09.054","article-title":"Postmortem interval alters the water relaxation and diffusion properties of rat nervous tissue - implications for MRI studies of human autopsy samples","author":"Shepherd","year":"2009","journal-title":"Neuroimage"},{"key":"10.1016\/j.neuroimage.2020.117113_bib35","doi-asserted-by":"crossref","DOI":"10.1002\/mrm.28169","article-title":"Modeling an equivalent b-value in diffusion-weighted steady-state free precession","author":"Tendler","year":"2020","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.neuroimage.2020.117113_bib36","doi-asserted-by":"crossref","DOI":"10.3389\/fcell.2019.00124","article-title":"Structural and diffusion MRI analyses with histological observations in patients with lissencephaly","author":"Vasung","year":"2019","journal-title":"Front. Cell Dev. Biol."},{"key":"10.1016\/j.neuroimage.2020.117113_bib37","article-title":"Xtract - standardised protocols for automated tractography and connectivity blueprints in the human and macaque brain","author":"Warrington","year":"2019","journal-title":"bioRxiv"},{"key":"10.1016\/j.neuroimage.2020.117113_bib38","doi-asserted-by":"crossref","DOI":"10.1002\/brb3.483","article-title":"White and gray matter fiber pathways in autism spectrum disorder revealed by ex vivo diffusion MR tractography","author":"Wilkinson","year":"2016","journal-title":"Brain Behav"},{"key":"10.1016\/j.neuroimage.2020.117113_bib39","doi-asserted-by":"crossref","DOI":"10.1002\/mrm.21120","article-title":"Actual flip-angle imaging in the pulsed steady state: a method for rapid three-dimensional mapping of the transmitted radiofrequency field","author":"Yarnykh","year":"2007","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.neuroimage.2020.117113_bib40","doi-asserted-by":"crossref","DOI":"10.1002\/mrm.20578","article-title":"Magnetic resonance imaging and mathematical modeling of progressive formalin fixation of the human brain","author":"Yong-Hing","year":"2005","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.neuroimage.2020.117113_bib41","doi-asserted-by":"crossref","DOI":"10.1109\/42.906424","article-title":"Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm","author":"Zhang","year":"2001","journal-title":"IEEE Trans. Med. Imag."},{"key":"10.1016\/j.neuroimage.2020.117113_bib42","doi-asserted-by":"crossref","DOI":"10.1002\/mrm.1910060206","article-title":"An analysis of fast imaging sequences with steady-state transverse magnetization refocusing","author":"Zur","year":"1988","journal-title":"Magn. Reson. Med."}],"container-title":["NeuroImage"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1053811920305991?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1053811920305991?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2021,2,25]],"date-time":"2021-02-25T02:34:05Z","timestamp":1614220445000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1053811920305991"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10]]},"references-count":42,"alternative-id":["S1053811920305991"],"URL":"https:\/\/doi.org\/10.1016\/j.neuroimage.2020.117113","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/861880","asserted-by":"object"}]},"ISSN":["1053-8119"],"issn-type":[{"value":"1053-8119","type":"print"}],"subject":[],"published":{"date-parts":[[2020,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Use of multi-flip angle measurements to account for transmit inhomogeneity and non-Gaussian diffusion in DW-SSFP","name":"articletitle","label":"Article Title"},{"value":"NeuroImage","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neuroimage.2020.117113","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 The Authors. Published by Elsevier Inc.","name":"copyright","label":"Copyright"}],"article-number":"117113"}}