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Quality control of CT systems by automated monitoring of key performance indicators: a two‐year study
The purpose of this study was to develop a method of performing routine periodical quality controls (QC) of CT systems by automatically analyzing key performance indicators (KPIs), obtainable from images of manufacturers' quality assurance (QA) phantoms. A KPI pertains to a measurable or determ...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690007/ https://www.ncbi.nlm.nih.gov/pubmed/26219012 http://dx.doi.org/10.1120/jacmp.v16i4.5469 |
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author | Nowik, Patrik Bujila, Robert Poludniowski, Gavin Fransson, Annette |
author_facet | Nowik, Patrik Bujila, Robert Poludniowski, Gavin Fransson, Annette |
author_sort | Nowik, Patrik |
collection | PubMed |
description | The purpose of this study was to develop a method of performing routine periodical quality controls (QC) of CT systems by automatically analyzing key performance indicators (KPIs), obtainable from images of manufacturers' quality assurance (QA) phantoms. A KPI pertains to a measurable or determinable QC parameter that is influenced by other underlying fundamental QC parameters. The established KPIs are based on relationships between existing QC parameters used in the annual testing program of CT scanners at the Karolinska University Hospital in Stockholm, Sweden. The KPIs include positioning, image noise, uniformity, homogeneity, the CT number of water, and the CT number of air. An application (MonitorCT) was developed to automatically evaluate phantom images in terms of the established KPIs. The developed methodology has been used for two years in clinical routine, where CT technologists perform daily scans of the manufacturer's QA phantom and automatically send the images to MonitorCT for KPI evaluation. In the cases where results were out of tolerance, actions could be initiated in less than 10 min. 900 QC scans from two CT scanners have been collected and analyzed over the two‐year period that MonitorCT has been active. Two types of errors have been registered in this period: a ring artifact was discovered with the image noise test, and a calibration error was detected multiple times with the CT number test. In both cases, results were outside the tolerances defined for MonitorCT, as well as by the vendor. Automated monitoring of KPIs is a powerful tool that can be used to supplement established QC methodologies. Medical physicists and other professionals concerned with the performance of a CT system will, using such methods, have access to comprehensive data on the current and historical (trend) status of the system such that swift actions can be taken in order to ensure the quality of the CT examinations, patient safety, and minimal disruption of service PACS numbers: 87.57.C‐, 87.57.N‐, 87.57.Q‐ |
format | Online Article Text |
id | pubmed-5690007 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56900072018-04-02 Quality control of CT systems by automated monitoring of key performance indicators: a two‐year study Nowik, Patrik Bujila, Robert Poludniowski, Gavin Fransson, Annette J Appl Clin Med Phys Medical Imaging The purpose of this study was to develop a method of performing routine periodical quality controls (QC) of CT systems by automatically analyzing key performance indicators (KPIs), obtainable from images of manufacturers' quality assurance (QA) phantoms. A KPI pertains to a measurable or determinable QC parameter that is influenced by other underlying fundamental QC parameters. The established KPIs are based on relationships between existing QC parameters used in the annual testing program of CT scanners at the Karolinska University Hospital in Stockholm, Sweden. The KPIs include positioning, image noise, uniformity, homogeneity, the CT number of water, and the CT number of air. An application (MonitorCT) was developed to automatically evaluate phantom images in terms of the established KPIs. The developed methodology has been used for two years in clinical routine, where CT technologists perform daily scans of the manufacturer's QA phantom and automatically send the images to MonitorCT for KPI evaluation. In the cases where results were out of tolerance, actions could be initiated in less than 10 min. 900 QC scans from two CT scanners have been collected and analyzed over the two‐year period that MonitorCT has been active. Two types of errors have been registered in this period: a ring artifact was discovered with the image noise test, and a calibration error was detected multiple times with the CT number test. In both cases, results were outside the tolerances defined for MonitorCT, as well as by the vendor. Automated monitoring of KPIs is a powerful tool that can be used to supplement established QC methodologies. Medical physicists and other professionals concerned with the performance of a CT system will, using such methods, have access to comprehensive data on the current and historical (trend) status of the system such that swift actions can be taken in order to ensure the quality of the CT examinations, patient safety, and minimal disruption of service PACS numbers: 87.57.C‐, 87.57.N‐, 87.57.Q‐ John Wiley and Sons Inc. 2015-07-08 /pmc/articles/PMC5690007/ /pubmed/26219012 http://dx.doi.org/10.1120/jacmp.v16i4.5469 Text en © 2015 The Authors. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Medical Imaging Nowik, Patrik Bujila, Robert Poludniowski, Gavin Fransson, Annette Quality control of CT systems by automated monitoring of key performance indicators: a two‐year study |
title | Quality control of CT systems by automated monitoring of key performance indicators: a two‐year study |
title_full | Quality control of CT systems by automated monitoring of key performance indicators: a two‐year study |
title_fullStr | Quality control of CT systems by automated monitoring of key performance indicators: a two‐year study |
title_full_unstemmed | Quality control of CT systems by automated monitoring of key performance indicators: a two‐year study |
title_short | Quality control of CT systems by automated monitoring of key performance indicators: a two‐year study |
title_sort | quality control of ct systems by automated monitoring of key performance indicators: a two‐year study |
topic | Medical Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690007/ https://www.ncbi.nlm.nih.gov/pubmed/26219012 http://dx.doi.org/10.1120/jacmp.v16i4.5469 |
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