Literature DB >> 33893847

The impact of susceptibility correction on diffusion metrics in adolescents.

Katri Lahti1,2, Riitta Parkkola3, Päivi Jääsaari4, Leena Haataja5, Virva Saunavaara6,7.   

Abstract

BACKGROUND: Diffusion tensor imaging is a widely used imaging method of brain white matter, but it is prone to imaging artifacts. The data corrections can affect the measured values.
OBJECTIVE: To explore the impact of susceptibility correction on diffusion metrics.
MATERIALS AND METHODS: A cohort of 27 healthy adolescents (18 boys, 9 girls, mean age 12.7 years) underwent 3-T MRI, and we collected two diffusion data sets (anterior-posterior). The data were processed both with and without susceptibility artifact correction. We derived fractional anisotropy, mean diffusivity and histogram data of fiber length distribution from both the corrected and uncorrected data, which were collected from the corpus callosum, corticospinal tract and cingulum bilaterally.
RESULTS: Fractional anisotropy and mean diffusivity values significantly differed when comparing the pathways in all measured tracts. The fractional anisotropy values were lower and the mean diffusivity values higher in the susceptibility-corrected data than in the uncorrected data. We found a significant difference in total tract length in the corpus callosum and the corticospinal tract.
CONCLUSION: This study indicates that susceptibility correction has a significant effect on measured fractional anisotropy, and on mean diffusivity values and tract lengths. To receive reliable and comparable results, the correction should be used systematically.

Entities:  

Keywords:  Adolescents; Brain; Diffusion tensor imaging; Magnetic resonance imaging; Susceptibility correction; Tractography

Year:  2021        PMID: 33893847     DOI: 10.1007/s00247-021-05000-3

Source DB:  PubMed          Journal:  Pediatr Radiol        ISSN: 0301-0449


  40 in total

1.  Diffusion tensor imaging of white matter tract evolution over the lifespan.

Authors:  C Lebel; M Gee; R Camicioli; M Wieler; W Martin; C Beaulieu
Journal:  Neuroimage       Date:  2011-12-08       Impact factor: 6.556

2.  White matter integrity, fiber count, and other fallacies: the do's and don'ts of diffusion MRI.

Authors:  Derek K Jones; Thomas R Knösche; Robert Turner
Journal:  Neuroimage       Date:  2012-07-23       Impact factor: 6.556

Review 3.  A review of diffusion MRI of typical white matter development from early childhood to young adulthood.

Authors:  Catherine Lebel; Sarah Treit; Christian Beaulieu
Journal:  NMR Biomed       Date:  2017-09-08       Impact factor: 4.044

4.  Susceptibility artefacts in NMR imaging.

Authors:  K M Lüdeke; P Röschmann; R Tischler
Journal:  Magn Reson Imaging       Date:  1985       Impact factor: 2.546

5.  Anxious/depressed symptoms are related to microstructural maturation of white matter in typically developing youths.

Authors:  Matthew D Albaugh; Simon Ducharme; Sherif Karama; Richard Watts; John D Lewis; Catherine Orr; Tuong-Vi Nguyen; Robert C Mckinstry; Kelly N Botteron; Alan C Evans; James J Hudziak
Journal:  Dev Psychopathol       Date:  2016-06-14

6.  Diffusion tensor imaging is associated with motor outcomes of very preterm born children at 11 years of age.

Authors:  Katri Lahti; Virva Saunavaara; Petriina Munck; Karoliina Uusitalo; Mari Koivisto; Riitta Parkkola; Leena Haataja
Journal:  Acta Paediatr       Date:  2019-11-07       Impact factor: 2.299

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

Authors:  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; Hugh P Garavan; Laura Hilmer; Christopher J Pung; Chelsea S Sicat; Joshua Kuperman; Hauke Bartsch; Feng Xue; Mary M Heitzeg; Angela R Laird; Thanh T Trinh; Raul Gonzalez; Susan F Tapert; Michael C Riedel; Lindsay M Squeglia; Luke W Hyde; Monica D Rosenberg; Eric A Earl; Katia D Howlett; Fiona C Baker; Mary Soules; Jazmin Diaz; Octavio Ruiz de Leon; Wesley K Thompson; Michael C Neale; Megan Herting; Elizabeth R Sowell; Ruben P Alvarez; Samuel W Hawes; Mariana Sanchez; Jerzy Bodurka; Florence J Breslin; Amanda Sheffield Morris; Martin P Paulus; W Kyle Simmons; Jonathan R Polimeni; Andre van der Kouwe; Andrew S Nencka; Kevin M Gray; Carlo Pierpaoli; John A Matochik; Antonio Noronha; Will M Aklin; Kevin Conway; Meyer Glantz; Elizabeth Hoffman; Roger Little; Marsha Lopez; Vani Pariyadath; Susan Rb Weiss; Dana L Wolff-Hughes; Rebecca DelCarmen-Wiggins; Sarah W Feldstein Ewing; Oscar Miranda-Dominguez; Bonnie J Nagel; Anders J Perrone; Darrick T Sturgeon; Aimee Goldstone; Adolf Pfefferbaum; Kilian M Pohl; Devin Prouty; Kristina Uban; Susan Y Bookheimer; Mirella Dapretto; Adriana Galvan; Kara Bagot; Jay Giedd; M Alejandra Infante; Joanna Jacobus; Kevin Patrick; Paul D Shilling; Rahul Desikan; Yi Li; Leo Sugrue; Marie T Banich; Naomi Friedman; John K Hewitt; Christian Hopfer; Joseph Sakai; Jody Tanabe; Linda B Cottler; Sara Jo Nixon; Linda Chang; Christine Cloak; Thomas Ernst; Gloria Reeves; David N Kennedy; Steve Heeringa; Scott Peltier; John Schulenberg; Chandra Sripada; Robert A Zucker; William G Iacono; Monica Luciana; Finnegan J Calabro; Duncan B Clark; David A Lewis; Beatriz Luna; Claudiu Schirda; Tufikameni Brima; John J Foxe; Edward G Freedman; Daniel W Mruzek; Michael J Mason; Rebekah Huber; Erin McGlade; Andrew Prescot; Perry F Renshaw; Deborah A Yurgelun-Todd; Nicholas A Allgaier; Julie A Dumas; Masha Ivanova; Alexandra Potter; Paul Florsheim; Christine Larson; Krista Lisdahl; Michael E Charness; Bernard Fuemmeler; John M Hettema; Hermine H Maes; Joel Steinberg; Andrey P Anokhin; Paul Glaser; Andrew C Heath; Pamela A Madden; Arielle Baskin-Sommers; R Todd Constable; Steven J Grant; Gayathri J Dowling; Sandra A Brown; Terry L Jernigan; Anders M Dale
Journal:  Neuroimage       Date:  2019-08-12       Impact factor: 7.400

8.  Evaluating corrections for Eddy-currents and other EPI distortions in diffusion MRI: methodology and a dataset for benchmarking.

Authors:  M Okan Irfanoglu; Joelle Sarlls; Amritha Nayak; Carlo Pierpaoli
Journal:  Magn Reson Med       Date:  2018-11-05       Impact factor: 4.668

9.  Towards an optimised processing pipeline for diffusion magnetic resonance imaging data: Effects of artefact corrections on diffusion metrics and their age associations in UK Biobank.

Authors:  Ivan I Maximov; Dag Alnaes; Lars T Westlye
Journal:  Hum Brain Mapp       Date:  2019-06-07       Impact factor: 5.038

Review 10.  Diffusion MRI of white matter microstructure development in childhood and adolescence: Methods, challenges and progress.

Authors:  Christian K Tamnes; David R Roalf; Anne-Lise Goddings; Catherine Lebel
Journal:  Dev Cogn Neurosci       Date:  2017-12-07       Impact factor: 6.464

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