Literature DB >> 22667620

Development of a pulse programmer for magnetic resonance imaging using a personal computer and a high-speed digital input-output board.

Seitaro Hashimoto1, Katsumi Kose, Tomoyuki Haishi.   

Abstract

We have developed a pulse programmer for magnetic resonance imaging (MRI) using a personal computer and a commercially available high-speed digital input-output board. The software for the pulse programmer was developed using C∕C++ and .NET Framework 2.0 running under the Windows 7 operating system. The pulse programmer was connected to a digital MRI transceiver using a 32-bit parallel interface, and 128-bit data (16 bits × 8 words) for the pulse sequence and the digitally detected MRI signal were transferred bi-directionally every 1 μs. The performance of the pulse programmer was evaluated using a 1.0 T permanent magnet MRI system. The acquired MR images demonstrated the usefulness of the pulse programmer. Although our pulse programmer was developed for a specially designed digital MRI transceiver, our approach can be used for any MRI system if the interface for the transceiver is properly designed. Therefore, we have concluded that our approach is promising for MRI pulse programmers.

Year:  2012        PMID: 22667620     DOI: 10.1063/1.4711132

Source DB:  PubMed          Journal:  Rev Sci Instrum        ISSN: 0034-6748            Impact factor:   1.523


  3 in total

1.  Echo-Planar Imaging for a 9.4 Tesla Vertical-Bore Superconducting Magnet Using an Unshielded Gradient Coil.

Authors:  Nao Kodama; Katsumi Kose
Journal:  Magn Reson Med Sci       Date:  2016-03-21       Impact factor: 2.471

2.  Spiral MRI on a 9.4T Vertical-bore Superconducting Magnet Using Unshielded and Self-shielded Gradient Coils.

Authors:  Nao Kodama; Ayana Setoi; Katsumi Kose
Journal:  Magn Reson Med Sci       Date:  2017-03-27       Impact factor: 2.471

3.  3D Cones Acquisition of Human Extremity Imaging Using a 1.5T Superconducting Magnet and an Unshielded Gradient Coil Set.

Authors:  Ayana Setoi; Katsumi Kose
Journal:  Magn Reson Med Sci       Date:  2018-05-16       Impact factor: 2.471

  3 in total

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