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Reliability of MRI-derived measurements of human cerebral cortical thickness: The effects of field strength, scanner upgrade and manufacturer

Xiao Han, Jorge Jovicich, David Salat, Andre van der Kouwe, Brian Quinn, Silvester Czanner, Evelina Busa, Jenni Pacheco, Marilyn Albert, Ronald Killiany, Paul Maguire, Diana Rosas (+4 others)
2006 NeuroImage  
We investigated how the reliability of cortical thickness measurements is affected by MRI instrument-related factors, including scanner field strength, manufacturer, upgrade and pulse sequence.  ...  In vivo MRI-derived measurements of human cerebral cortex thickness are providing novel insights into normal and abnormal neuroanatomy, but little is known about their reliability.  ...  , d) the NIA (K23-AG22509 and P01-AG04953) and e) the MIND Institute.  ... 
doi:10.1016/j.neuroimage.2006.02.051 pmid:16651008 fatcat:3ziatpskqnfx7mqtvrevf2cdym

Effects of memory training on cortical thickness in the elderly

Andreas Engvig, Anders M. Fjell, Lars T. Westlye, Torgeir Moberget, Øyvind Sundseth, Vivi Agnete Larsen, Kristine B. Walhovd
2010 NeuroImage  
A unique finding is that training was accompanied by regional increases in cerebral cortical thickness and white matter integrity compared with controls.  ...  Structural changes in cerebral grey and white matter were assessed using MRprotocols optimized for reliable longitudinal analysis.  ...  Acknowledgements The authors acknowledge the Research Council of Norway for an operating grant to AMF and KBW (Grant number: 186092), and the Kavli Research Center for Aging and Dementia for salary support  ... 
doi:10.1016/j.neuroimage.2010.05.041 pmid:20580844 fatcat:pgo6wk3o5fglfpvfnegqoznica

Enhanced cortical thickness measurements for rodent brains via Lagrangian-based RK4 streamline computation

Joohwi Lee, Sun Hyung Kim, Ipek Oguz, Martin Styner, Martin A. Styner, Elsa D. Angelini
2016 Medical Imaging 2016: Image Processing  
Second, by constructing a line object for each streamline of the thickness measurement, we can visualize the way the thickness is measured and achieve sub-voxel accuracy by performing geometric postprocessing  ...  Based on a previously proposed cortical thickness measurement pipeline for rodent brain analysis, 1 we present an enhanced cortical thickness pipeline in terms of accuracy and anatomical consistency.  ...  These explicit surface models enable sub-voxel accuracy, 11 high sensitivity, and robustness for different field strengths, scanner upgrades, and scanner manufacturers.  ... 
doi:10.1117/12.2216420 pmid:27065047 pmcid:PMC4825173 dblp:conf/miip/LeeKOS16 fatcat:6r7g3c6bp5faffom2gwwym45se

Quantitative and qualitative assessment of structural magnetic resonance imaging data in a two-center study

Sima Chalavi, Andrew Simmons, Hildebrand Dijkstra, Gareth J Barker, A A T Simone Reinders
2012 BMC Medical Imaging  
Effects of a scanner software and hardware upgrade on the reproducibility of the protocols at one of the centers were also evaluated.  ...  The upgrade showed no important effects.  ...  on the scanner manufacturer [24] [25] [26] [27] [28] , field strength [24] [25] [26] 28] , MRI protocol [25, 26, 29, 30] , scanner drift over time [31] and data analysis tool employed [25, 32, 33  ... 
doi:10.1186/1471-2342-12-27 pmid:22867031 pmcid:PMC3447701 fatcat:ulqugx2eazhifmqtwxrpdsxlvi

Reproducibility and variability of quantitative magnetic resonance imaging markers in cerebral small vessel disease

François De Guio, Eric Jouvent, Geert Jan Biessels, Sandra E Black, Carol Brayne, Christopher Chen, Charlotte Cordonnier, Frank-Eric De Leeuw, Martin Dichgans, Fergus Doubal, Marco Duering, Carole Dufouil (+29 others)
2016 Journal of Cerebral Blood Flow and Metabolism  
Abstract (200 words) Brain imaging is essential for the diagnosis and characterization of cerebral small vessel disease (SVD).  ...  Reproducibility and variability of quantitative magnetic resonance imaging markers in cerebral small vessel disease..  ...  The authors declare no conflict of interest. Supplementary material for this paper can be found at http://jcbfm.sagepub.com/content/by/supplemental-data  ... 
doi:10.1177/0271678x16647396 pmid:27170700 pmcid:PMC4976752 fatcat:62yvvbsgorgnbnlgv6v3w3j3bu

Increased sensitivity to effects of normal aging and Alzheimer's disease on cortical thickness by adjustment for local variability in gray/white contrast: A multi-sample MRI study

Lars T. Westlye, Kristine B. Walhovd, Anders M. Dale, Thomas Espeseth, Ivar Reinvang, Naftali Raz, Ingrid Agartz, Douglas N. Greve, Bruce Fischl, Anders M. Fjell
2009 NeuroImage  
MRI-based estimates of cerebral morphometric properties, e.g. cortical thickness, are pivotal to studies of normal and pathological brain changes.  ...  effects within and between sites and scanners.  ...  We thank the developers of the OASIS (Open Access Series of Imaging Studies) database for access to MRI data constituting sample 5 and the AD and control group of the present work.  ... 
doi:10.1016/j.neuroimage.2009.05.084 pmid:19501655 pmcid:PMC2828679 fatcat:qumghyzokvd7fhjegcgbcdhfue

Normative morphometric data for cerebral cortical areas over the lifetime of the adult human brain

Olivier Potvin, Louis Dieumegarde, Simon Duchesne
2017 NeuroImage  
Models predicting regional cortical estimates of each hemisphere were produced using age, sex, estimated total intracranial volume (eTIV), scanner manufacturer, magnetic field strength, and interactions  ...  For new individuals, estimates of their expected surface area, thickness and volume based on their characteristics and the scanner characteristics can be obtained using the derived formulas, as well as  ...  Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer. NeuroImage 32, 180-194.  ... 
doi:10.1016/j.neuroimage.2017.05.019 pmid:28512057 fatcat:bfagdwgpmzhcpftifhmro7w33e

A preliminary study of the effects of cannabidiol (CBD) on brain structure in patients with epilepsy

Ayushe A. Sharma, Rodolphe Nenert, Jane B. Allendorfer, Tyler E. Gaston, Leslie P. Grayson, Kathleen Hernando, Jerzy P. Szaflarski
2019 Epilepsy & Behavior Reports  
Participants provided seizure frequency diaries (SF), completed the Chalfont Seizure Severity Scale (CSSS) and Adverse Events Profile (AEP), and underwent MRI before CBD (baseline) and after achieving  ...  This preliminary study examines whether daily CBD dose of 15-25 mg/kg produces cerebral macrostructure changes and, if present, how they relate to changes in seizure frequency.  ...  Greenwich Biosciences Inc., NeuroPace, Inc., Upsher-Smith Laboratories, Inc., Medical Association of the State of Alabama, Serina Therapeutics Inc., LivaNova Inc., Lundbeck, and Elite Medical Experts LLC  ... 
doi:10.1016/j.ebr.2019.100341 pmid:32322816 pmcid:PMC7170322 fatcat:gtvfbtvh6fb6zb3mdze7ruwpz4

Investigating relationships between cortical thickness and cognitive performance in patients with schizophrenia and healthy adults

Cecilie Bhandari Hartberg, Glenn Lawyer, Håkan Nyman, Erik G. Jönsson, Unn K. Haukvik, Peter Saetre, Petr S. Bjerkan, Ole A. Andreassen, Håkan Hall, Ingrid Agartz
2010 Psychiatry Research : Neuroimaging  
Bjerkan, Thomas Bjella and Eivind Bakken, for technical and administrative assistance and the Oslo University Hospital and the University of Oslo to support the Thematically Organized Psychosis (TOP) Research  ...  Acknowledgments We thank patients and controls for their participation in the study. We also wish to thank Ørjan Bergmann, Merete Øibakken, Martin Furan, Petr S.  ...  Detection of cortical thickness correlates of cognitive performance: Reliability across MRI scan sessions, scanners, and field strengths. Neuroimage. 39, 10-18. Dickinson, D., Ramsey, M.  ... 
doi:10.1016/j.pscychresns.2010.01.001 pmid:20456929 fatcat:zm4tvhv4jfeyrg5iwtwzrnp53a

A comparison of voxel and surface based cortical thickness estimation methods

Matthew J. Clarkson, M. Jorge Cardoso, Gerard R. Ridgway, Marc Modat, Kelvin K. Leung, Jonathan D. Rohrer, Nick C. Fox, Sébastien Ourselin
2011 NeuroImage  
We test the effects of computing regional statistics using two different atlases and demonstrate that this makes a significant difference to the cortical thickness results.  ...  Cortical thickness estimation performed in-vivo via magnetic resonance imaging is an important technique for the diagnosis and understanding of the progression of neurodegenerative diseases.  ...  The use of explicit surface models enables sub-voxel accuracy (Fischl and Dale, 2000) , high sensitivity , and robustness to different field strengths, scanner upgrade and scanner manufacturer (Han et  ... 
doi:10.1016/j.neuroimage.2011.05.053 pmid:21640841 fatcat:etlkikeaxfalxldsrrfhhgqzga

Image processing and analysis methods for the Adolescent Brain Cognitive Development Study

Donald J. Hagler, SeanN. Hatton, M. Daniela Cornejo, Carolina Makowski, Damien A. Fair, Anthony Steven Dick, Matthew T. Sutherland, B.J. Casey, Deanna M. Barch, Michael P. Harms, Richard Watts, James M. Bjork (+131 others)
2019 NeuroImage  
factors that influence brain development, and the effects of those factors on mental health and other outcomes.  ...  Processing and analyses include modality-specific corrections for distortions and motion, brain segmentation and cortical surface reconstruction derived from structural magnetic resonance imaging (sMRI  ...  This manuscript reflects the views of the authors and may not reflect the opinions or views of the NIH or ABCD consortium investigators. The ABCD data repository grows and changes over time.  ... 
doi:10.1016/j.neuroimage.2019.116091 pmid:31415884 pmcid:PMC6981278 fatcat:goab4m7k7vdfthmliwd6sgsfy4

Brain morphometry reproducibility in multi-center 3T MRI studies: A comparison of cross-sectional and longitudinal segmentations

Jorge Jovicich, Moira Marizzoni, Roser Sala-Llonch, Beatriz Bosch, David Bartrés-Faz, Jennifer Arnold, Jens Benninghoff, Jens Wiltfang, Luca Roccatagliata, Flavio Nobili, Tilman Hensch, Anja Tränkner (+15 others)
2013 NeuroImage  
No significant differences in reliability are found between the segmentation methods for the other cortical thickness estimates.  ...  is systematically more reliable across sites regardless of MRI system differences.  ...  The authors would like to thank especially to people who contributed to the early phases of this study, including Luca Venturi, Genoveffa Borsci and Thomas Günther.  ... 
doi:10.1016/j.neuroimage.2013.05.007 pmid:23668971 fatcat:xw423qhp7vebxhhh7r3e35ixfq

Emerging Imaging Tools for Use with Traumatic Brain Injury Research

Jill V. Hunter, Elisabeth A. Wilde, Karen A. Tong, Barbara A. Holshouser
2012 Journal of Neurotrauma  
following TBI, and potential for evaluating treatment strategies; 2) the ability of many centers to acquire these data with scanners and equipment that are readily available in existing clinical and research  ...  MRI (fMRI), including resting state and connectivity MRI, MR spectroscopy (MRS), and hyperpolarization scanning.  ...  gradient directions, b-value, voxel size), scanner manufacturer and/or software platform, and field strength, or head coil.  ... 
doi:10.1089/neu.2011.1906 pmid:21787167 pmcid:PMC3289847 fatcat:yj33vjap2rfhdlimtjsp7xtwni

Laminar Thickness Alterations in the Fronto-Parietal Cortical Mantle of Patients with Attention-Deficit/Hyperactivity Disorder

Elseline Hoekzema, Susana Carmona, J. Antoni Ramos-Quiroga, Vanesa Richarte Fernández, Marisol Picado, Rosa Bosch, Juan Carlos Soliva, Mariana Rovira, Yolanda Vives, Antonio Bulbena, Adolf Tobeña, Miguel Casas (+2 others)
2012 PLoS ONE  
To examine the cortical mantle in children and adults with ADHD, we applied a vertex-wise analysis of cortical thickness to anatomical brain MRI scans acquired from children with (n = 43) and without ADHD  ...  The development of novel techniques for quantifying the thickness of the cerebral mantle allows the further exploration of the neuroanatomical profiles underlying the child and adult form of the disorder  ...  scanner upgrades and manufacturers [37] .  ... 
doi:10.1371/journal.pone.0048286 pmid:23239964 pmcid:PMC3519773 fatcat:vvehp3qfkfhbhoarmijhej4iiq

Improving segmentation reliability of multi-scanner brain images using a generative adversarial network

Kai Niu, Xueyan Li, Li Zhang, Zhensong Yan, Wei Yu, Peipeng Liang, Yan Wang, Ching-Po Lin, Huimao Zhang, Chunjie Guo, Kuncheng Li, Tianyi Qian
2021 Quantitative Imaging in Medicine and Surgery  
Another 3D T1-weighted MRI interscan dataset of 48 participants who were scanned in 3 MRI scanners (1.5T Siemens Avanto, 3T Siemens Trio Tim, and 3T Philips Ingenia) on the same day was used to train and  ...  The reproducibility of different segmentation methods across scanners showed a consistent trend in the greater reliability and robustness of QBrain compared to SLANT-27 which, in turn, showed greater reliability  ...  Springer: cerebral cortical thickness: the effects of field strength, International Conference on Medical Image Computing scanner upgrade and manufacturer.  ... 
doi:10.21037/qims-21-653 pmid:35284270 pmcid:PMC8899955 fatcat:rio22psyj5ghlare6a6nlpujue
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