Literature DB >> 14997335

MRI quality control: six imagers studied using eleven unified image quality parameters.

T Ihalainen1, O Sipilä, S Savolainen.   

Abstract

Quality control of the magnetic resonance imagers of different vendors in the clinical environment is non-harmonised, and comparing the performance is difficult. The purpose of this study was to develop and apply a harmonised long-term quality control protocol for the six imagers in our organisation in order to assure that they fulfil the same basic image quality requirements. The same Eurospin phantom set and identical imaging parameters were used with each imager. Values of 11 comparable parameters describing the image quality were measured. Automatic image analysis software was developed to objectively analyse the images. The results proved that the imagers were operating at a performance level adequate for clinical imaging. Some deficiencies were detected in image uniformity and geometry. The automated analysis of the Eurospin phantom images was successful. The measurements were successfully repeated after 2 weeks on one imager and after half a year on all imagers. As an objective way of examining the image quality, this kind of comparable and objective quality control of different imagers is considered as an essential step towards harmonisation of the clinical MRI studies through a large hospital organisation. Copyright 2004 Springer-Verlag

Mesh:

Year:  2004        PMID: 14997335     DOI: 10.1007/s00330-004-2278-4

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  11 in total

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Journal:  J Magn Reson Imaging       Date:  2001-04       Impact factor: 4.813

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Authors:  Ronald R Price; Jerry Allison; Richard J Massoth; Geoffrey D Clarke; Dick J Drost
Journal:  Med Phys       Date:  2002-08       Impact factor: 4.071

5.  Detection of degradation of magnetic resonance (MR) images: comparison of an automated MR image-quality analysis system with trained human observers.

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Journal:  Acad Radiol       Date:  1995-04       Impact factor: 3.173

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Journal:  Radiology       Date:  1989-10       Impact factor: 11.105

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

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Journal:  Med Phys       Date:  1990 Mar-Apr       Impact factor: 4.071

8.  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

9.  Trial of modifications to Eurospin MRI test objects.

Authors:  R A Lerski
Journal:  Magn Reson Imaging       Date:  1993       Impact factor: 2.546

10.  Hazardous situation in the MR bore: induction in ECG leads causes fire.

Authors:  Harald Kugel; Christoph Bremer; Marco Püschel; Roman Fischbach; Horst Lenzen; Bernd Tombach; Hugo Van Aken; Walter Heindel
Journal:  Eur Radiol       Date:  2003-02-19       Impact factor: 5.315

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  9 in total

1.  MR T1 and T2 relaxations in cysts and abscesses measured by 1.5 T MRI.

Authors:  U N Yilmaz; F Yaman; S S Atilgan
Journal:  Dentomaxillofac Radiol       Date:  2012-07       Impact factor: 2.419

2.  Whole brain quantitative T2 MRI across multiple scanners with dual echo FSE: applications to AD, MCI, and normal aging.

Authors:  Corinna M Bauer; Hernán Jara; Ron Killiany
Journal:  Neuroimage       Date:  2010-05-02       Impact factor: 6.556

3.  An Automatic Image Processing Workflow for Daily Magnetic Resonance Imaging Quality Assurance.

Authors:  Juha I Peltonen; Teemu Mäkelä; Alexey Sofiev; Eero Salli
Journal:  J Digit Imaging       Date:  2017-04       Impact factor: 4.056

4.  DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging.

Authors:  Chao-Gan Yan; Xin-Di Wang; Xi-Nian Zuo; Yu-Feng Zang
Journal:  Neuroinformatics       Date:  2016-07

5.  Ultrasound quality assurance and equipment governance.

Authors:  Stephen Russell
Journal:  Ultrasound       Date:  2013-12-20

6.  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

7.  Measurement of MRI scanner performance with the ADNI phantom.

Authors:  Jeffrey L Gunter; Matt A Bernstein; Brett J Borowski; Chadwick P Ward; Paula J Britson; Joel P Felmlee; Norbert Schuff; Michael Weiner; Clifford R Jack
Journal:  Med Phys       Date:  2009-06       Impact factor: 4.071

8.  Imaging vascular function for early stage clinical trials using dynamic contrast-enhanced magnetic resonance imaging.

Authors:  M O Leach; B Morgan; P S Tofts; D L Buckley; W Huang; M A Horsfield; T L Chenevert; D J Collins; A Jackson; D Lomas; B Whitcher; L Clarke; R Plummer; I Judson; R Jones; R Alonzi; T Brunner; D M Koh; P Murphy; J C Waterton; G Parker; M J Graves; T W J Scheenen; T W Redpath; M Orton; G Karczmar; H Huisman; J Barentsz; A Padhani
Journal:  Eur Radiol       Date:  2012-05-07       Impact factor: 5.315

9.  Automatic quality assessment in structural brain magnetic resonance imaging.

Authors:  Bénédicte Mortamet; Matt A Bernstein; Clifford R Jack; Jeffrey L Gunter; Chadwick Ward; Paula J Britson; Reto Meuli; Jean-Philippe Thiran; Gunnar Krueger
Journal:  Magn Reson Med       Date:  2009-08       Impact factor: 4.668

  9 in total

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