Literature DB >> 17728091

A two-compartment gel phantom for optimization and quality assurance in clinical BOLD fMRI.

Johan Olsrud1, Anders Nilsson, Peter Mannfolk, Anthony Waites, Freddy Ståhlberg.   

Abstract

Clinical applications of blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) depend heavily on robust paradigms, imaging methods and analysis procedures. In this work, as a means to optimize and perform quality assurance of the entire imaging and analysis chain, a phantom that provides a well known and reproducible signal change similar to a block type fMRI experiment is presented. It consists of two gel compartments with slightly different T2 that dynamically enter and leave the imaged volume. The homogeneous gel in combination with a cylindrical geometry results in a well-defined T*2 difference causing a signal difference between the two compartments in T*2-weighted MR images. From time series data obtained with the phantom, maps of percent signal change (PSC) and t-values are calculated. As an example of image parameter optimisation, the phantom is demonstrated to be useful for accurate determination of the influence of echo time (TE) on BOLD fMRI results, taking the t-value as a measure of sensitivity. In addition, the phantom is proposed as a tool for quality assurance (QA) since reproducible time series and t-maps are obtained in a series of independent repeat experiments. The phantom is relatively simple to build and can therefore be used by any clinical fMRI center.

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Year:  2007        PMID: 17728091     DOI: 10.1016/j.mri.2007.06.010

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


  6 in total

Review 1.  Function biomedical informatics research network recommendations for prospective multicenter functional MRI studies.

Authors:  Gary H Glover; Bryon A Mueller; Jessica A Turner; Theo G M van Erp; Thomas T Liu; Douglas N Greve; James T Voyvodic; Jerod Rasmussen; Gregory G Brown; David B Keator; Vince D Calhoun; Hyo Jong Lee; Judith M Ford; Daniel H Mathalon; Michele Diaz; Daniel S O'Leary; Syam Gadde; Adrian Preda; Kelvin O Lim; Cynthia G Wible; Hal S Stern; Aysenil Belger; Gregory McCarthy; Burak Ozyurt; Steven G Potkin
Journal:  J Magn Reson Imaging       Date:  2012-02-07       Impact factor: 4.813

2.  Data quality in fMRI and simultaneous EEG-fMRI.

Authors:  Toni Ihalainen; Linda Kuusela; Sampsa Turunen; Sami Heikkinen; Sauli Savolainen; Outi Sipilä
Journal:  MAGMA       Date:  2014-04-26       Impact factor: 2.310

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.  A Rotational Cylindrical fMRI Phantom for Image Quality Control.

Authors:  David A Tovar; Wang Zhan; Sunder S Rajan
Journal:  PLoS One       Date:  2015-12-01       Impact factor: 3.240

5.  BOLD signal simulation and fMRI quality control base on an active phantom: a preliminary study.

Authors:  Tiao Chen; Yue Zhao; Chuntao Jia; Zilong Yuan; Jianfeng Qiu
Journal:  Med Biol Eng Comput       Date:  2020-02-08       Impact factor: 2.602

6.  Signal Fluctuation Sensitivity: An Improved Metric for Optimizing Detection of Resting-State fMRI Networks.

Authors:  Daniel J DeDora; Sanja Nedic; Pratha Katti; Shafique Arnab; Lawrence L Wald; Atsushi Takahashi; Koene R A Van Dijk; Helmut H Strey; Lilianne R Mujica-Parodi
Journal:  Front Neurosci       Date:  2016-05-04       Impact factor: 4.677

  6 in total

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