Literature DB >> 16563960

SmartPhantom--an fMRI simulator.

Hu Cheng1, Qun Zhao, George R Duensing, Williams A Edelstein, Diana Spencer, Nick Browne, Charles Saylor, Mark Limkeman.   

Abstract

Many informatics tools have emerged to process the voluminous and complex data generated by functional magnetic resonance imaging (fMRI). The interpretation of fMRI exams is largely determined by these tools. However, their performance is hard to evaluate because there is no independent means of calibration. A novel fMRI calibration system called SmartPhantom has been developed to simulate functional blood oxygen level dependent (BOLD) imaging. SmartPhantom contains a quadrature radio frequency coil, comprising two perpendicular planar loops that can be externally activated or deactivated. The system is able to produce reasonably uniform signal enhancements in a calibration sample surrounded by the two loops during an MRI scan. The enhancement is controlled well in both magnitude and predefined timing and produces BOLD-like signals. Characteristics of SmartPhantom are discussed in detail, followed by a comparison of fMRI informatics tools. Two fMRI data sets are acquired with the SmartPhantom. One with high signal-to-noise ratio provides the calibration. Another with lower SNR is input into three software packages (BrainVoyager, FSL and Statistical Parametric Mapping 2) for data preprocessing and statistical analysis. Results from the three packages are compared in both sensitivity of detecting the activation and correlation between the predicted activation and calibration.

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Year:  2006        PMID: 16563960      PMCID: PMC3163900          DOI: 10.1016/j.mri.2005.12.012

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


  9 in total

1.  ROC analysis of statistical methods used in functional MRI: individual subjects.

Authors:  P Skudlarski; R T Constable; J C Gore
Journal:  Neuroimage       Date:  1999-03       Impact factor: 6.556

2.  Comparison of functional MRI image realignment tools using a computer-generated phantom.

Authors:  V L Morgan; D R Pickens; S L Hartmann; R R Price
Journal:  Magn Reson Med       Date:  2001-09       Impact factor: 4.668

3.  Brain magnetic resonance imaging with contrast dependent on blood oxygenation.

Authors:  S Ogawa; T M Lee; A R Kay; D W Tank
Journal:  Proc Natl Acad Sci U S A       Date:  1990-12       Impact factor: 11.205

4.  An ROC approach for evaluating functional brain MR imaging and postprocessing protocols.

Authors:  R T Constable; P Skudlarski; J C Gore
Journal:  Magn Reson Med       Date:  1995-07       Impact factor: 4.668

5.  Quantifying and comparing region-of-interest activation patterns in functional brain MR imaging: methodology considerations.

Authors:  R T Constable; P Skudlarski; E Mencl; K R Pugh; R K Fulbright; C Lacadie; S E Shaywitz; B A Shaywitz
Journal:  Magn Reson Imaging       Date:  1998-04       Impact factor: 2.546

6.  Functional MRI statistical software packages: a comparative analysis.

Authors:  S Gold; B Christian; S Arndt; G Zeien; T Cizadlo; D L Johnson; M Flaum; N C Andreasen
Journal:  Hum Brain Mapp       Date:  1998       Impact factor: 5.038

7.  ROC methods for evaluation of fMRI techniques.

Authors:  J A Sorenson; X Wang
Journal:  Magn Reson Med       Date:  1996-11       Impact factor: 4.668

8.  Agarose as a tissue equivalent phantom material for NMR imaging.

Authors:  M D Mitchell; H L Kundel; L Axel; P M Joseph
Journal:  Magn Reson Imaging       Date:  1986       Impact factor: 2.546

Review 9.  Functional magnetic resonance imaging: a review of methodological aspects and clinical applications.

Authors:  Jürgen Hennig; Oliver Speck; Martin A Koch; Cornelius Weiller
Journal:  J Magn Reson Imaging       Date:  2003-07       Impact factor: 4.813

  9 in total
  5 in total

1.  Magnetic resonance temperature imaging of laser-induced thermotherapy using proton resonance frequency shift: evaluation of different sequences in phantom and porcine brain at 7 T.

Authors:  Guojun Xu; Zhiyong Zhao; Kedi Xu; Junming Zhu; Anna W Roe; Bin Xu; Xiaotong Zhang; Jianqi Li; Dongrong Xu
Journal:  Jpn J Radiol       Date:  2022-04-17       Impact factor: 2.701

2.  FMRI signal analysis using empirical mean curve decomposition.

Authors:  Fan Deng; Dajiang Zhu; Jinglei Lv; Lei Guo; Tianming Liu
Journal:  IEEE Trans Biomed Eng       Date:  2012-10-01       Impact factor: 4.538

3.  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

Review 4.  Virtual clinical trials in medical imaging: a review.

Authors:  Ehsan Abadi; William P Segars; Benjamin M W Tsui; Paul E Kinahan; Nick Bottenus; Alejandro F Frangi; Andrew Maidment; Joseph Lo; Ehsan Samei
Journal:  J Med Imaging (Bellingham)       Date:  2020-04-11

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

  5 in total

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