Literature DB >> 33856092

Modified Diffusion Tensor Image Processing Pipeline for Archived Studies of Patients With Leukoencephalopathy.

Ruitian Song1, John O Glass1, Wilburn E Reddick1.   

Abstract

BACKGROUND: In archived diffusion tensor imaging (DTI) studies, a reversed-phase encoding (PE) scan required to correct the distortion in single-shot echo-planar imaging (EPI) may not have been acquired. Furthermore, DTI tractography is adversely affected by incorrect white matter segmentation due to leukoencephalopathy (LE). All these issues need to be addressed.
PURPOSE: To propose and evaluate a modified DTI processing pipeline with DIstortion COrrection using pseudo T2 -weighted images (DICOT) to overcome limitations in existing acquisition protocols. STUDY TYPE: Retrospective feasibility.
SUBJECTS: DICOT was assessed in simulated data and 84 acute lymphoblastic leukemia (ALL) patients with reversed PE acquired. The pipeline was then tested in 522 scans from 261 ALL patients without a reversed PE acquired. FIELD STRENGTH/SEQUENCE: A 3 T; diffusion-weighted EPI; 3D magnetization prepared rapid acquisition gradient echo (MPRAGE). STATISTICAL TESTS: Repeated measures analysis of variance and Tukey post hoc tests were performed to compare fractional anisotropy (FA) values obtained by different methods. ASSESSMENT: FA and corresponding absolute error maps were obtained using TOPUP, DICOT, INVERSION (Inverse contrast Normalization for VERy Simple registratION) and NO CORR (no correction). Each method was assessed by comparing to TOPUP. The pipeline in the ALL patients was evaluated based on the failure rate of the distortion correction using the global correlation values.
RESULTS: Using DICOT reduced the mean absolute errors by an average of 32% in FA in simulation datasets. In 84 patients, the error reductions were approximately 15% in FA with DICOT, while it was 5% with INVERSION. No significant differences between the TOPUP and DICOT were observed in FA with P = 0.090/0.894(AP/PA). Only 15 of 516 examinations requiring any additional manual intervention.
CONCLUSION: This modified pipeline produced better results than the INVERSION. Furthermore, robust performance was demonstrated in archived patient scans acquired without an inverse PE necessary for TOPUP correction. EVIDENCE LEVEL: 3 TECHNICAL EFFICACY: Stage 2.
© 2021 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  T1 and T2 weighted; diffusion tensor imaging; distortion correction; leukoencephalopathy; processing pipeline

Mesh:

Year:  2021        PMID: 33856092      PMCID: PMC8628478          DOI: 10.1002/jmri.27636

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   5.119


  35 in total

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Authors:  P Jezzard; S Clare
Journal:  Hum Brain Mapp       Date:  1999       Impact factor: 5.038

2.  Quantitative MRI assessment of leukoencephalopathy.

Authors:  Wilburn E Reddick; John O Glass; James W Langston; Kathleen J Helton
Journal:  Magn Reson Med       Date:  2002-05       Impact factor: 4.668

3.  How to correct susceptibility distortions in spin-echo echo-planar images: application to diffusion tensor imaging.

Authors:  Jesper L R Andersson; Stefan Skare; John Ashburner
Journal:  Neuroimage       Date:  2003-10       Impact factor: 6.556

4.  Anatomically-constrained tractography: improved diffusion MRI streamlines tractography through effective use of anatomical information.

Authors:  Robert E Smith; Jacques-Donald Tournier; Fernando Calamante; Alan Connelly
Journal:  Neuroimage       Date:  2012-06-13       Impact factor: 6.556

Review 5.  Advances in functional and structural MR image analysis and implementation as FSL.

Authors:  Stephen M Smith; Mark Jenkinson; Mark W Woolrich; Christian F Beckmann; Timothy E J Behrens; Heidi Johansen-Berg; Peter R Bannister; Marilena De Luca; Ivana Drobnjak; David E Flitney; Rami K Niazy; James Saunders; John Vickers; Yongyue Zhang; Nicola De Stefano; J Michael Brady; Paul M Matthews
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

6.  T₁ mapping using variable flip angle SPGR data with flip angle correction.

Authors:  Gilad Liberman; Yoram Louzoun; Dafna Ben Bashat
Journal:  J Magn Reson Imaging       Date:  2013-11-25       Impact factor: 4.813

7.  Within-subject template estimation for unbiased longitudinal image analysis.

Authors:  Martin Reuter; Nicholas J Schmansky; H Diana Rosas; Bruce Fischl
Journal:  Neuroimage       Date:  2012-03-10       Impact factor: 6.556

Review 8.  MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation.

Authors:  J-Donald Tournier; Robert Smith; David Raffelt; Rami Tabbara; Thijs Dhollander; Maximilian Pietsch; Daan Christiaens; Ben Jeurissen; Chun-Hung Yeh; Alan Connelly
Journal:  Neuroimage       Date:  2019-08-29       Impact factor: 6.556

9.  Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain.

Authors:  B B Avants; C L Epstein; M Grossman; J C Gee
Journal:  Med Image Anal       Date:  2007-06-23       Impact factor: 8.545

10.  Retrospective study of late radiation-induced damages after focal radiotherapy for childhood brain tumors.

Authors:  Claudia Cavatorta; Silvia Meroni; Eros Montin; Maria C Oprandi; Emilia Pecori; Mara Lecchi; Barbara Diletto; Ombretta Alessandro; Denis Peruzzo; Veronica Biassoni; Elisabetta Schiavello; Marco Bologna; Maura Massimino; Geraldina Poggi; Luca Mainardi; Filippo Arrigoni; Filippo Spreafico; Paolo Verderio; Emanuele Pignoli; Lorenza Gandola
Journal:  PLoS One       Date:  2021-02-26       Impact factor: 3.240

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