Literature DB >> 19243053

Construction of a temperature-controlled diffusion phantom for quality control of diffusion measurements.

Carolin Reischauer1, Philipp Staempfli, Thomas Jaermann, Peter Boesiger.   

Abstract

PURPOSE: To construct a temperature-controlled diffusion phantom with known diffusion properties and geometry in order to facilitate the comparison and optimization of diffusion sequences with the objective of increasing the precision of experimentally derived diffusion parameters.
MATERIALS AND METHODS: A temperature-stabilized diffusion phantom made up of two crossing strands of hydrophobic polyethylene fibers was constructed. Reproducibility and temperature dependence of several diffusion parameters was investigated and compared with computer simulations. Furthermore, in order to stimulate actual use, the precision of measurement of different diffusion-encoding schemes was compared using bootstrap analysis.
RESULTS: The measured values of the diffusion parameters are highly reproducible and feature strong temperature dependence which is reproduced in simulations, underlining the necessity of a temperature-stabilized environment for quality control. The exemplary application presented here demonstrates that the phantom allows comparing and optimizing different diffusion sequences with regard to their measurement precision.
CONCLUSION: The present work demonstrates that the diffusion phantom facilitates and improves the comparison and quality control of diffusion sequences and the ensuing parameters. The results show that an accurate temperature control is a vital prerequisite for highly reproducible calibration measurements. As such, the phantom might provide a valuable calibration tool for clinical studies. Copyright (c) 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19243053     DOI: 10.1002/jmri.21665

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


  10 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

Review 3.  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

Review 4.  Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome.

Authors:  Susie Y Huang; Thomas Witzel; Boris Keil; Alina Scholz; Mathias Davids; Peter Dietz; Elmar Rummert; Rebecca Ramb; John E Kirsch; Anastasia Yendiki; Qiuyun Fan; Qiyuan Tian; Gabriel Ramos-Llordén; Hong-Hsi Lee; Aapo Nummenmaa; Berkin Bilgic; Kawin Setsompop; Fuyixue Wang; Alexandru V Avram; Michal Komlosh; Dan Benjamini; Kulam Najmudeen Magdoom; Sudhir Pathak; Walter Schneider; Dmitry S Novikov; Els Fieremans; Slimane Tounekti; Choukri Mekkaoui; Jean Augustinack; Daniel Berger; Alexander Shapson-Coe; Jeff Lichtman; Peter J Basser; Lawrence L Wald; Bruce R Rosen
Journal:  Neuroimage       Date:  2021-08-28       Impact factor: 7.400

5.  An acetone-based phantom for quantitative diffusion MRI.

Authors:  Xiaoke Wang; Scott B Reeder; Diego Hernando
Journal:  J Magn Reson Imaging       Date:  2017-04-22       Impact factor: 4.813

6.  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

7.  Global versus tract-specific components of cerebral white matter integrity: relation to adult age and perceptual-motor speed.

Authors:  Micah A Johnson; Michele T Diaz; David J Madden
Journal:  Brain Struct Funct       Date:  2014-06-28       Impact factor: 3.270

8.  Concerning the matching of magnetic susceptibility differences for the compensation of background gradients in anisotropic diffusion fibre phantoms.

Authors:  Ezequiel Farrher; Johannes Lindemeyer; Farida Grinberg; Ana-Maria Oros-Peusquens; N Jon Shah
Journal:  PLoS One       Date:  2017-05-03       Impact factor: 3.240

9.  Assessment of diffusion tensor image quality across sites and vendors using the American College of Radiology head phantom.

Authors:  Zhiyue J Wang; Youngseob Seo; Evelyn Babcock; Hao Huang; Stefan Bluml; Jessica Wisnowski; Barbara Holshouser; Ashok Panigrahy; Dennis W W Shaw; Nolan Altman; Roderick W McColl; Nancy K Rollins
Journal:  J Appl Clin Med Phys       Date:  2016-05-08       Impact factor: 2.102

10.  Spin echo versus stimulated echo diffusion tensor imaging of the in vivo human heart.

Authors:  Constantin von Deuster; Christian T Stoeck; Martin Genet; David Atkinson; Sebastian Kozerke
Journal:  Magn Reson Med       Date:  2015-10-07       Impact factor: 4.668

  10 in total

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