Literature DB >> 26395366

On replacing the manual measurement of ACR phantom images performed by MRI technologists with an automated measurement approach.

Lawrence P Panych1,2, Jr-Yuan George Chiou1,2, Lei Qin2,3, Vera L Kimbrell1, Lisa Bussolari1, Robert V Mulkern1,2,4.   

Abstract

PURPOSE: To assess whether measurements on American College of Radiology (ACR) phantom images performed by magnetic resonance imaging (MRI) technologists as part of a weekly quality control (QC) program could be performed exclusively using an automated system without compromising the integrity of the QC program.
MATERIALS AND METHODS: ACR phantom images are acquired on 15 MRI scanners at a number of ACR-accredited sites to fulfill requirements of a weekly QC program. MRI technologists routinely perform several measurements on these images. Software routines are also used to perform the measurements. A set of geometry measurements made by technologists over a five week period and those made using software routines were compared to reference-standard measurements made by two MRI physicists.
RESULTS: The geometry measurements performed by software routines had a very high positive correlation (0.92) with the reference-standard measurements. Technologist measurements also had a high positive correlation (0.63), although the correlation was less than for the automated measurements. Bland-Altman analysis revealed overall good agreement between the automated and reference-standard measurements, with the 95% limits of agreement being within ±0.62 mm. Agreement between the technologist and the reference-standard measurements was demonstratively poorer, with 95% limits of agreement being ±1.46 mm. Some of the technologist measurements differed from the reference standard by as much as 2 mm.
CONCLUSION: The technologists' geometry measurements may be able to be replaced by automated measurement without compromising the weekly QC program required by the ACR.
© 2015 Wiley Periodicals, Inc.

Keywords:  ACR phantom imaging; accreditation; quality assurance; quality control

Mesh:

Year:  2015        PMID: 26395366     DOI: 10.1002/jmri.25052

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  2 in total

1.  Image quality assessment of a 1.5T dedicated magnetic resonance-simulator for radiotherapy with a flexible radio frequency coil setting using the standard American College of Radiology magnetic resonance imaging phantom test.

Authors:  Oi Lei Wong; Jing Yuan; Siu Ki Yu; Kin Yin Cheung
Journal:  Quant Imaging Med Surg       Date:  2017-04

2.  Sensitivity analysis of different quality assurance methods for magnetic resonance imaging in radiotherapy.

Authors:  Mary Adjeiwaah; Anders Garpebring; Tufve Nyholm
Journal:  Phys Imaging Radiat Oncol       Date:  2020-03-13
  2 in total

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