Literature DB >> 20677281

Ground truth hardware phantoms for validation of diffusion-weighted MRI applications.

Pim Pullens1, Alard Roebroeck, Rainer Goebel.   

Abstract

PURPOSE: To quantitatively validate diffusion-weighted MRI (DW-MRI) applications, a hardware phantom containing crossing fibers at a sub-voxel level is presented. It is suitable for validation of a large spectrum of DW-MRI applications from acquisition to fiber tracking, which is an important recurrent issue in the field.
MATERIALS AND METHODS: Phantom properties were optimized to resemble properties of human white matter in terms of anisotropy, fractional anisotropy, and T(2). Sub-voxel crossings were constructed at angles of 30, 50, and 65 degrees, by wrapping polyester fibers, with a diameter close to axon diameter, into heat shrink tubes. We show our phantoms are suitable for the acquisition of DW-MRI data using a clinical protocol.
RESULTS: The phantoms can be used to successfully estimate both the diffusion tensor and non-Gaussian diffusion models, and perform streamline fiber tracking. DOT (Diffusion Orientation Transform) and q-ball reconstruction of the diffusion profiles acquired at b = 3000 s/mm(2) and 132 diffusion directions reveal multimodal diffusion profiles in voxels containing crossing yarn strands.
CONCLUSION: The highly purpose adaptable phantoms provide a DW-MRI validation platform: applications include optimisation of acquisition schemes, validation of non-Gaussian diffusion models, comparison and validation of fiber tracking algorithms, and quality control in multi-center DWI studies. 2010 Wiley-Liss, Inc.

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Year:  2010        PMID: 20677281     DOI: 10.1002/jmri.22243

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  20 in total

1.  Histological validation of DW-MRI tractography in human postmortem tissue.

Authors:  Arne K Seehaus; Alard Roebroeck; Oriana Chiry; Dae-Shik Kim; Itamar Ronen; Hansjürgen Bratzke; Rainer Goebel; Ralf A W Galuske
Journal:  Cereb Cortex       Date:  2012-02-17       Impact factor: 5.357

2.  A quality assurance protocol for diffusion tensor imaging using the head phantom from American College of Radiology.

Authors:  Zhiyue J Wang; Youngseob Seo; Jonathan M Chia; Nancy K Rollins
Journal:  Med Phys       Date:  2011-07       Impact factor: 4.071

3.  The reproducibility of measurements using a standardization phantom for the evaluation of fractional anisotropy (FA) derived from diffusion tensor imaging (DTI).

Authors:  Mitsuhiro Kimura; Hidetake Yabuuchi; Ryoji Matsumoto; Koji Kobayashi; Yasuo Yamashita; Kazuya Nagatomo; Ryoji Mikayama; Takeshi Kamitani; Koji Sagiyama; Yuzo Yamasaki
Journal:  MAGMA       Date:  2019-09-24       Impact factor: 2.310

Review 4.  Physical and numerical phantoms for the validation of brain microstructural MRI: A cookbook.

Authors:  Els Fieremans; Hong-Hsi Lee
Journal:  Neuroimage       Date:  2018-06-18       Impact factor: 6.556

5.  Tracking and validation techniques for topographically organized tractography.

Authors:  Dogu Baran Aydogan; Yonggang Shi
Journal:  Neuroimage       Date:  2018-07-02       Impact factor: 6.556

6.  When tractography meets tracer injections: a systematic study of trends and variation sources of diffusion-based connectivity.

Authors:  Dogu Baran Aydogan; Russell Jacobs; Stephanie Dulawa; Summer L Thompson; Maite Christi Francois; Arthur W Toga; Hongwei Dong; James A Knowles; Yonggang Shi
Journal:  Brain Struct Funct       Date:  2018-04-16       Impact factor: 3.270

7.  A comparison of three fiber tract delineation methods and their impact on white matter analysis.

Authors:  Valerie J Sydnor; Ana María Rivas-Grajales; Amanda E Lyall; Fan Zhang; Sylvain Bouix; Sarina Karmacharya; Martha E Shenton; Carl-Fredrik Westin; Nikos Makris; Demian Wassermann; Lauren J O'Donnell; Marek Kubicki
Journal:  Neuroimage       Date:  2018-05-19       Impact factor: 6.556

8.  Fiber estimation and tractography in diffusion MRI: development of simulated brain images and comparison of multi-fiber analysis methods at clinical b-values.

Authors:  Bryce Wilkins; Namgyun Lee; Niharika Gajawelli; Meng Law; Natasha Leporé
Journal:  Neuroimage       Date:  2014-12-30       Impact factor: 6.556

9.  A VARIATIONAL MODEL FOR DENOISING HIGH ANGULAR RESOLUTION DIFFUSION IMAGING.

Authors:  M Tong; Y Kim; L Zhan; G Sapiro; C Lenglet; B A Mueller; P M Thompson; L A Vese
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2012

10.  Validation of diffusion MRI estimates of compartment size and volume fraction in a biomimetic brain phantom using a human MRI scanner with 300 mT/m maximum gradient strength.

Authors:  Qiuyun Fan; Aapo Nummenmaa; Barbara Wichtmann; Thomas Witzel; Choukri Mekkaoui; Walter Schneider; Lawrence L Wald; Susie Y Huang
Journal:  Neuroimage       Date:  2018-01-12       Impact factor: 6.556

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