Literature DB >> 2085559

Magnetic resonance imaging simulator: a teaching tool for radiology.

D Rundle1, S Kishore, S Seshadri, F Wehrli.   

Abstract

The increasing use of magnetic resonance imaging (MRI) as a clinical modality has put an enormous burden on medical institutions to cost effectively teach MRI scanning techniques to technologists and physicians. Since MRI scanner time is a scarce resource, it would be ideal if the teaching could be effectively performed off-line. In order to meet this goal, the radiology Department at the University of Pennsylvania has designed and developed a Magnetic Resonance Imaging Simulator. The simulator in its current implementation mimics the General Electric Signa (General Electric Magnetic Resonance Imaging System, Milwaukee, WI) scanner's user interface for image acquisition. The design is general enough to be applied to other MRI scanners. One unique feature of the simulator is its incorporation of an image-synthesis module that permits the user to derive images for any arbitrary combination of pulsing parameters for spin-echo, gradient-echo, and inversion recovery pulse sequences. These images are computed in 5 seconds. The development platform chosen is a standard Apple Macintosh II (Apple Computer, Inc, Cupertino, CA) computer with no specialized hardware peripherals. The user interface is implemented in HyperCard (Apple Computer Inc, Cupertino, CA). All other software development including synthesis and display functions are implemented under the Macintosh Programmer's Workshop 'C' environment. The scan parameters, demographics, and images are tracked using an Oracle (Oracle Corp, Redwood Shores, CA) data base. Images are currently stored on magnetic disk but could be stored on optical media with minimal effort.

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Year:  1990        PMID: 2085559     DOI: 10.1007/BF03168119

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  3 in total

1.  MR-tutor: a program for teaching the interdependence of factors which influence signal intensity in magnetic resonance imaging.

Authors:  R H Posteraro; R A Blinder; R J Herfkens
Journal:  Comput Med Imaging Graph       Date:  1989 Sep-Oct       Impact factor: 4.790

2.  Automated MR image synthesis: feasibility studies.

Authors:  S J Riederer; S A Suddarth; S A Bobman; J N Lee; H Z Wang; J R MacFall
Journal:  Radiology       Date:  1984-10       Impact factor: 11.105

3.  The dependence of nuclear magnetic resonance (NMR) image contrast on intrinsic and pulse sequence timing parameters.

Authors:  F W Wehrli; J R MacFall; G H Glover; N Grigsby; V Haughton; J Johanson
Journal:  Magn Reson Imaging       Date:  1984       Impact factor: 2.546

  3 in total
  2 in total

1.  Distributed large-scale simulation of magnetic resonance imaging.

Authors:  A R Brenner; J Kürsch; T G Noll
Journal:  MAGMA       Date:  1997-06       Impact factor: 2.310

2.  coreMRI: A high-performance, publicly available MR simulation platform on the cloud.

Authors:  Christos G Xanthis; Anthony H Aletras
Journal:  PLoS One       Date:  2019-05-17       Impact factor: 3.240

  2 in total

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