Literature DB >> 29923022

Wide slab is useful for routine quality control of MRI slice thickness.

Yoshiyuki Ishimori1, Masahiko Monma2, Hiraku Kawamura3.   

Abstract

Although slice thickness accuracy is important for the performance of magnetic resonance imaging systems, long scan times are required to perform reliable measurements. Inclined slabs and wedges are conventionally used as test devices to obtain slice profiles. In this study, a novel dedicated device with a widened slab was created, and its efficacy was compared with that of a conventional wedge. The signal-to-noise ratio (SNR) of the profile and the coefficient of variation (CV) of the measured slice thickness were measured. Wide slab usage showed sufficient SNR by averaging multiple profile lines, even with single acquisition. Therefore, it is possible to substantially shorten the measurement time. When ≥ 20 lines were averaged, CV was < 1%. Furthermore, a 200-mm slab width enabled evaluation of the positional dependence of slice thickness in a single imaging. Thus, quality control of MRI slice thickness can be easily implemented with this device.

Keywords:  Magnetic resonance imaging; Positional dependence; Quality control; Slab; Slice thickness; Wedge

Mesh:

Year:  2018        PMID: 29923022     DOI: 10.1007/s12194-018-0467-0

Source DB:  PubMed          Journal:  Radiol Phys Technol        ISSN: 1865-0333


  13 in total

1.  Quality assurance for MRI: practical experience.

Authors:  M J Firbank; R M Harrison; E D Williams; A Coulthard
Journal:  Br J Radiol       Date:  2000-04       Impact factor: 3.039

2.  [(A tentative number) JIS Z 4952-magnetic resonance equipment for medical imaging-part 1: determination of essential image quality parameters].

Authors:  Nobuo Sunohara
Journal:  Nihon Hoshasen Gijutsu Gakkai Zasshi       Date:  2010-07-20

3.  Characterization of 3D geometric distortion of magnetic resonance imaging scanners commissioned for radiation therapy planning.

Authors:  Tarraf Torfeh; Rabih Hammoud; Gregory Perkins; Maeve McGarry; Souha Aouadi; Azim Celik; Ken-Pin Hwang; Joseph Stancanello; Primoz Petric; Noora Al-Hammadi
Journal:  Magn Reson Imaging       Date:  2016-01-12       Impact factor: 2.546

4.  Quality assurance of clinical MRI scanners using ACR MRI phantom: preliminary results.

Authors:  Chien-Chuan Chen; Yung-Liang Wan; Yau-Yau Wai; Ho-Ling Liu
Journal:  J Digit Imaging       Date:  2004-12       Impact factor: 4.056

5.  MRI quality assurance using the ACR phantom in a multi-unit imaging center.

Authors:  Toni M Ihalainen; Nadja T Lönnroth; Juha I Peltonen; Jouni K Uusi-Simola; Marjut H Timonen; Linda J Kuusela; Sauli E Savolainen; Outi E Sipilä
Journal:  Acta Oncol       Date:  2011-08       Impact factor: 4.089

6.  [Measurement of slice thickness in magnetic resonance image by the impulse response].

Authors:  Isao Yamaguchi; Yoshiyuki Ishimori; Yasuhiro Fujiwara; Takuya Yachida; Chie Yoshioka
Journal:  Nihon Hoshasen Gijutsu Gakkai Zasshi       Date:  2012

7.  Quality assurance methods and phantoms for magnetic resonance imaging: report of AAPM nuclear magnetic resonance Task Group No. 1.

Authors:  R R Price; L Axel; T Morgan; R Newman; W Perman; N Schneiders; M Selikson; M Wood; S R Thomas
Journal:  Med Phys       Date:  1990 Mar-Apr       Impact factor: 4.071

8.  Improved wedge method for the measurement of sub-millimeter slice thicknesses in magnetic resonance imaging.

Authors:  Tsutomu Kanazawa; Masaki Ohkubo; Tatsuya Kondo; Takayuki Miyazawa; Shoichi Inagawa
Journal:  Radiol Phys Technol       Date:  2017-09-06

9.  Performance assessment and quality control in MRI by Eurospin test objects and protocols.

Authors:  R A Lerski; J D de Certaines
Journal:  Magn Reson Imaging       Date:  1993       Impact factor: 2.546

Review 10.  Development and validation of a novel large field of view phantom and a software module for the quality assurance of geometric distortion in magnetic resonance imaging.

Authors:  Tarraf Torfeh; Rabih Hammoud; Maeve McGarry; Noora Al-Hammadi; Gregory Perkins
Journal:  Magn Reson Imaging       Date:  2015-04-14       Impact factor: 2.546

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