Literature DB >> 32055603

Test-retest variability of brain morphometry analysis: an investigation of sequence and coil effects.

Shuang Yan1, Tianyi Qian2, Bénédicte Maréchal3,4,5, Tobias Kober3,4,5, Xianchang Zhang2, Jinxia Zhu2, Jing Lei1, Mingli Li1, Zhengyu Jin1.   

Abstract

BACKGROUND: Precise and reliable brain morphometry analysis is critical for clinical and research purposes. The magnetization-prepared rapid gradient echo (MPRAGE), multi-echo MPRAGE (MEMPRAGE) and magnetization-prepared 2 rapid acquisition gradient echo (MP2RAGE) sequences have all been used to acquire brain structural images, but it is unclear which of these sequences is the most suitable for brain morphometry and whether the number of coil channels (20 or 32) affects scan precision. This study aimed to assess the impact of T1-weighted image acquisition variables (sequence and head coil) on the repeatability of resultant automated volumetric measurements.
METHODS: Twenty-four healthy volunteers underwent back-to-back scanning protocols with three sequences and two different coils (i.e., six scanning conditions in total) presented in a randomized order in a single session. MorphoBox prototype and FreeSurfer were used for brain segmentation. Brain structures were divided into cortical and subcortical regions for more precise analysis. The acquired volume and thickness values were used to calculate test-retest variability (TRV) values. TRV values from the six different combinations were compared for total brain structures, total cortical structures, total subcortical structures, and every single structure.
RESULTS: The median TRV value for all brain regions was 1.23% with MorphoBox and 3.14% with FreeSurfer. When using FreeSurfer results to compare the six combinations, for total brain structures volume and total cortical structures volume and thickness, the MEMPRAGE-32 channel combination showed significantly lower TRV values than the others (P<0.01). Similar results were observed with MorphoBox. For total subcortical structures, the MP2RAGE-32 channel combination showed the lowest TRV values with both MorphoBox (lower about 0.01% to 0.17%) and FreeSurfer analyses (lower about 0.02% to 0.37%).
CONCLUSIONS: TRV values were generally low, indicating generally high reliability for every region. The MEMPRAGE sequence was the most reliable of the three sequences for total brain structures and cortical structures. However, MP2RAGE was the most reliable for subcortical structures. The 32-channel coil showed better repeatability results than the 20-channel coil. 2020 Annals of Translational Medicine. All rights reserved.

Entities:  

Keywords:  Test-retest variability (TRV); brain morphometry; magnetic resonance imaging (MRI) repeatability; post-processing robustness

Year:  2020        PMID: 32055603      PMCID: PMC6995743          DOI: 10.21037/atm.2019.11.149

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN: 2305-5839


  31 in total

1.  Evaluating anorexia-related brain atrophy using MP2RAGE-based morphometry.

Authors:  José Boto; Georgios Gkinis; Alexis Roche; Tobias Kober; Bénédicte Maréchal; Nadia Ortiz; Karl-Olof Lövblad; François Lazeyras; Maria Isabel Vargas
Journal:  Eur Radiol       Date:  2017-06-21       Impact factor: 5.315

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

Authors:  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; Nikos Makris; Anders Dale; Bradford Dickerson; Bruce Fischl
Journal:  Neuroimage       Date:  2006-05-02       Impact factor: 6.556

3.  Three-dimensional magnetization-prepared rapid gradient-echo imaging (3D MP RAGE).

Authors:  J P Mugler; J R Brookeman
Journal:  Magn Reson Med       Date:  1990-07       Impact factor: 4.668

4.  Cortical surface-based analysis. I. Segmentation and surface reconstruction.

Authors:  A M Dale; B Fischl; M I Sereno
Journal:  Neuroimage       Date:  1999-02       Impact factor: 6.556

5.  Test-retest variability of [¹¹C]raclopride-binding potential in nontreatment-seeking alcoholics.

Authors:  Karmen K Yoder; Daniel S Albrecht; David A Kareken; Lauren M Federici; Kevin M Perry; Elizabeth A Patton; Qi-Huang Zheng; Bruce H Mock; Sean O'Connor; Christine M Herring
Journal:  Synapse       Date:  2010-12-08       Impact factor: 2.562

6.  96-Channel receive-only head coil for 3 Tesla: design optimization and evaluation.

Authors:  Graham C Wiggins; Jonathan R Polimeni; Andreas Potthast; Melanie Schmitt; Vijay Alagappan; Lawrence L Wald
Journal:  Magn Reson Med       Date:  2009-09       Impact factor: 4.668

7.  MP2RAGE, a self bias-field corrected sequence for improved segmentation and T1-mapping at high field.

Authors:  José P Marques; Tobias Kober; Gunnar Krueger; Wietske van der Zwaag; Pierre-François Van de Moortele; Rolf Gruetter
Journal:  Neuroimage       Date:  2009-10-09       Impact factor: 6.556

8.  Reliability of MRI-derived cortical and subcortical morphometric measures: effects of pulse sequence, voxel geometry, and parallel imaging.

Authors:  J S Wonderlick; D A Ziegler; P Hosseini-Varnamkhasti; J J Locascio; A Bakkour; A van der Kouwe; C Triantafyllou; S Corkin; B C Dickerson
Journal:  Neuroimage       Date:  2008-11-07       Impact factor: 6.556

9.  Quantitative comparison of cortical surface reconstructions from MP2RAGE and multi-echo MPRAGE data at 3 and 7 T.

Authors:  Kyoko Fujimoto; Jonathan R Polimeni; André J W van der Kouwe; Martin Reuter; Tobias Kober; Thomas Benner; Bruce Fischl; Lawrence L Wald
Journal:  Neuroimage       Date:  2013-12-15       Impact factor: 6.556

10.  Quantitative volume-based morphometry in focal cortical dysplasia: A pilot study for lesion localization at the individual level.

Authors:  Xin Chen; Tianyi Qian; Bénédicte Maréchal; Guojun Zhang; Tao Yu; Zhiwei Ren; Duanyu Ni; Chang Liu; Yongjuan Fu; Nan Chen; Kuncheng Li
Journal:  Eur J Radiol       Date:  2018-06-22       Impact factor: 3.528

View more
  5 in total

1.  Normal volumetric and T1 relaxation time values at 1.5 T in segmented pediatric brain MRI using a MP2RAGE acquisition.

Authors:  Baptiste Morel; Gian Franco Piredda; Jean-Philippe Cottier; Clovis Tauber; Christophe Destrieux; Tom Hilbert; Dominique Sirinelli; Jean-Philippe Thiran; Bénédicte Maréchal; Tobias Kober
Journal:  Eur Radiol       Date:  2020-09-03       Impact factor: 5.315

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

Authors:  Chunjie Guo; Kuncheng Li; Kai Niu; Xueyan Li; Li Zhang; Zhensong Yan; Wei Yu; Peipeng Liang; Yan Wang; Ching-Po Lin; Huimao Zhang; Tianyi Qian
Journal:  Quant Imaging Med Surg       Date:  2022-03

3.  Gray Matter Volume Variability in Young Healthy Adults: Influence of Gender Difference and Brain-Derived Neurotrophic Factor Genotype.

Authors:  Hiraku Watanabe; Sho Kojima; Kazuaki Nagasaka; Ken Ohno; Noriko Sakurai; Naoki Kodama; Naofumi Otsuru; Hideaki Onishi
Journal:  Cereb Cortex       Date:  2022-06-07       Impact factor: 4.861

4.  Cortical Thickness in Migraine: A Coordinate-Based Meta-Analysis.

Authors:  LiQin Sheng; HaiRong Ma; YuanYuan Shi; ZhenYu Dai; JianGuo Zhong; Fei Chen; PingLei Pan
Journal:  Front Neurosci       Date:  2021-01-06       Impact factor: 4.677

5.  Test-retest reliability of FreeSurfer-derived volume, area and cortical thickness from MPRAGE and MP2RAGE brain MRI images.

Authors:  Graham N Knussmann; Jeffrey S Anderson; Molly B D Prigge; Douglas C Dean; Nicholas Lange; Erin D Bigler; Andrew L Alexander; Janet E Lainhart; Brandon A Zielinski; Jace B King
Journal:  Neuroimage Rep       Date:  2022-02-24
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.