Literature DB >> 17390354

Phantom-based evaluation of geometric distortions in functional magnetic resonance and diffusion tensor imaging.

Seppo Mattila1, Ville Renvall, Jaana Hiltunen, Douglas Kirven, Raimo Sepponen, Riitta Hari, Antti Tarkiainen.   

Abstract

Phantom-based evaluation of geometric distortions in functional MRI and diffusion tensor imaging (DTI) was investigated. An acrylic water-filled phantom with a grid structure was designed and manufactured to provide accurate geometric information over the volume measured in human brain imaging. The grid structures were well detected in data acquired using a 3-T MRI scanner with echo-planar imaging (EPI) sequences commonly applied in functional MRI and DTI. A method for quantifying distortions in the phantom data was presented and applied for the images. The validity of the phantom for EPI was evaluated by quantitatively comparing the distortions present in and induced by the phantom and a human brain when imaged under identical conditions. The results suggest that the new phantom can reveal geometric distortions easily undermined by standard MRI phantoms. For example, prominent variability in the distortions was found as a function of the orientation of the diffusion-sensitizing gradient. Possible future applications for this type of phantom include quality assurance and calibration of the hardware and software used in EPI-based functional MRI and DTI.

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Year:  2007        PMID: 17390354     DOI: 10.1002/mrm.21218

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  5 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.  Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations.

Authors:  Anwar R Padhani; Guoying Liu; Dow Mu Koh; Thomas L Chenevert; Harriet C Thoeny; Taro Takahara; Andrew Dzik-Jurasz; Brian D Ross; Marc Van Cauteren; David Collins; Dima A Hammoud; Gordon J S Rustin; Bachir Taouli; Peter L Choyke
Journal:  Neoplasia       Date:  2009-02       Impact factor: 5.715

3.  Establishment and results of a magnetic resonance quality assurance program for the pediatric brain tumor consortium.

Authors:  Robert V Mulkern; Peter Forbes; Kevin Dewey; Stravoula Osganian; Maureen Clark; Sharon Wong; Uma Ramamurthy; Larry Kun; Tina Young Poussaint
Journal:  Acad Radiol       Date:  2008-09       Impact factor: 3.173

4.  Effects of MR parameter changes on the quantification of diffusion anisotropy and apparent diffusion coefficient in diffusion tensor imaging: evaluation using a diffusional anisotropic phantom.

Authors:  Sang Joon Kim; Choong Gon Choi; Jeong Kon Kim; Sung-Cheol Yun; Geon-Ho Jahng; Ha-Kyu Jeong; Eun Ju Kim
Journal:  Korean J Radiol       Date:  2015-02-27       Impact factor: 3.500

5.  Quantification of metal-induced susceptibility artifacts associated with ultrahigh-field magnetic resonance imaging of spinal implants.

Authors:  Yusuke Chiba; Hideki Murakami; Makoto Sasaki; Hirooki Endo; Daisuke Yamabe; Daichi Kinno; Minoru Doita
Journal:  JOR Spine       Date:  2019-08-16
  5 in total

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