Literature DB >> 17145407

Use of capillaries in the construction of an MRI phantom for the assessment of diffusion tensor imaging: demonstration of performance.

Nathan Yanasak1, Jerry Allison.   

Abstract

Although diffusion tensor imaging (DTI) shows great potential for the diagnosis of a variety of pathologies, no consensus for an appropriate assessment standard of DTI exists. This study examined the feasibility of using water-filled arrays of glass capillaries to construct a DTI phantom suitable for making repeated and reproducible measurements required in a quality assessment program. Three phantoms were constructed using arrays of capillaries with three inner diameters (23, 48, and 82 microm). Data were acquired using DTI protocols; the fractional anisotropy (FA), mean apparent diffusion coefficient (ADC) and principal eigenvectors of the diffusion tensors were calculated. This study demonstrated four results: (1) echo-planar images show that susceptibility within the capillary arrays does not lead to substantial differences in precessional frequency in regions containing the arrays and neither do the regions show noticeable image distortion; (2) principal eigenvectors of the diffusion tensors agree to within<10.3 degrees of the array orientations; (3) mean FA values (0.18-0.50) and ADC values (1.40-1.93x10-(3) mm2/s) within specified regions of interest are in general agreement with simulations after a simple noise correction; and (4) these array performance characteristics are observable using a typical clinical DTI protocol.

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Year:  2006        PMID: 17145407     DOI: 10.1016/j.mri.2006.08.001

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  19 in total

1.  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

2.  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

3.  * A 3D Tissue-Printing Approach for Validation of Diffusion Tensor Imaging in Skeletal Muscle.

Authors:  David B Berry; Shangting You; John Warner; Lawrence R Frank; Shaochen Chen; Samuel R Ward
Journal:  Tissue Eng Part A       Date:  2017-03-24       Impact factor: 3.845

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.  Manifestation and post hoc correction of gradient cross-term artifacts in DTI.

Authors:  Govind Nair; Xiaoping P Hu
Journal:  Magn Reson Imaging       Date:  2012-04-09       Impact factor: 2.546

6.  Comparison of 3D orientation distribution functions measured with confocal microscopy and diffusion MRI.

Authors:  Kurt Schilling; Vaibhav Janve; Yurui Gao; Iwona Stepniewska; Bennett A Landman; Adam W Anderson
Journal:  Neuroimage       Date:  2016-01-21       Impact factor: 6.556

7.  Histological validation of diffusion MRI fiber orientation distributions and dispersion.

Authors:  Kurt G Schilling; Vaibhav Janve; Yurui Gao; Iwona Stepniewska; Bennett A Landman; Adam W Anderson
Journal:  Neuroimage       Date:  2017-10-23       Impact factor: 6.556

8.  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

9.  Anisotropic phantom to calibrate high-q diffusion MRI methods.

Authors:  M E Komlosh; D Benjamini; A S Barnett; V Schram; F Horkay; A V Avram; P J Basser
Journal:  J Magn Reson       Date:  2016-11-30       Impact factor: 2.229

10.  Quantitative bone matrix density measurement by water- and fat-suppressed proton projection MRI (WASPI) with polymer calibration phantoms.

Authors:  Haihui Cao; Jerome L Ackerman; Mirko I Hrovat; Lila Graham; Melvin J Glimcher; Yaotang Wu
Journal:  Magn Reson Med       Date:  2008-12       Impact factor: 4.668

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