On replacing the manual measurement of ACR phantom images performed by MRI technologists with an automated measurement approach.
J Magn Reson Imaging
; 43(4): 843-52, 2016 Apr.
Article
em En
| MEDLINE
| ID: mdl-26395366
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 ANDMETHODS:
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.Palavras-chave
Texto completo:
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Radiologia
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Processamento de Imagem Assistida por Computador
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Reconhecimento Automatizado de Padrão
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Imageamento por Ressonância Magnética
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Imagens de Fantasmas
Limite:
Humans
Idioma:
En
Revista:
J Magn Reson Imaging
Ano de publicação:
2016
Tipo de documento:
Article