On replacing the manual measurement of ACR phantom images performed by MRI technologists with an automated measurement approach
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...
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| Veröffentlicht in: | Journal of magnetic resonance imaging 2016-04, Vol.43 (4), p.843-852 |
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| container_title | Journal of magnetic resonance imaging |
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| creator | Panych, Lawrence P. Chiou, Jr-Yuan George Qin, Lei Kimbrell, Vera L. Bussolari, Lisa Mulkern, Robert V. |
| description | 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. J. Magn. Reson. Imaging 2016;43:843–852 |
| doi_str_mv | 10.1002/jmri.25052 |
| format | Article |
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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. J. Magn. Reson. Imaging 2016;43:843–852</description><identifier>ISSN: 1053-1807</identifier><identifier>EISSN: 1522-2586</identifier><identifier>DOI: 10.1002/jmri.25052</identifier><identifier>PMID: 26395366</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>accreditation ; ACR phantom imaging ; Humans ; Image Processing, Computer-Assisted - methods ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Observer Variation ; Pattern Recognition, Automated ; Phantoms, Imaging ; quality assurance ; Quality Control ; Radiology - methods ; Radiology - standards ; Reference Values ; Signal-To-Noise Ratio ; Software</subject><ispartof>Journal of magnetic resonance imaging, 2016-04, Vol.43 (4), p.843-852</ispartof><rights>2015 Wiley Periodicals, Inc.</rights><rights>2016 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3962-735896ad9dfa24db160ca1bb2b9cbe4ef77c78cbcc8cb7a52c776ec2e8f4b07a3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjmri.25052$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjmri.25052$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,1433,27924,27925,45574,45575,46409,46833</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26395366$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Panych, Lawrence P.</creatorcontrib><creatorcontrib>Chiou, Jr-Yuan George</creatorcontrib><creatorcontrib>Qin, Lei</creatorcontrib><creatorcontrib>Kimbrell, Vera L.</creatorcontrib><creatorcontrib>Bussolari, Lisa</creatorcontrib><creatorcontrib>Mulkern, Robert V.</creatorcontrib><title>On replacing the manual measurement of ACR phantom images performed by MRI technologists with an automated measurement approach</title><title>Journal of magnetic resonance imaging</title><addtitle>J. Magn. Reson. Imaging</addtitle><description>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. J. Magn. Reson. Imaging 2016;43:843–852</description><subject>accreditation</subject><subject>ACR phantom imaging</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Observer Variation</subject><subject>Pattern Recognition, Automated</subject><subject>Phantoms, Imaging</subject><subject>quality assurance</subject><subject>Quality Control</subject><subject>Radiology - methods</subject><subject>Radiology - standards</subject><subject>Reference Values</subject><subject>Signal-To-Noise Ratio</subject><subject>Software</subject><issn>1053-1807</issn><issn>1522-2586</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpdkU1v1DAQhi0EoqVw4QcgS1y4pPVHbCfHdkW_VNqqAnG0Jt7JJkviBDtR2RN_vd5uqVAvMyP5eWes9yXkI2eHnDFxtO5DeygUU-IV2edKiEyoQr9OM1My4wUze-RdjGvGWFnm6i3ZE1qWSmq9T_7eeBpw7MC1fkWnBmkPfoaO9ghxDtijn-hQ0-PFHR0b8NPQ07aHFUY6YqiH0OOSVhv67e6CTugaP3TDqo1TpPft1FDwFOakgSlh_6-EcQwDuOY9eVNDF_HDUz8gP06_fl-cZ1c3ZxeL46vMyVKLzEhVlBqW5bIGkS8rrpkDXlWiKl2FOdbGOFO4yrlUDCjhjNHoBBZ1XjED8oB82e1NZ3_PGCfbt9Fh14HHYY6WG6NkwXTJEvr5Bboe5uDT77ZUrrXUUiXq0xM1V8kDO4ZkS9jYf9YmgO-A-7bDzfM7Z3Ybmt2GZh9Ds5fJvMcpabKdJjmIf541EH5ZbaRR9uf1mRW3J8qIk1N7Kx8ACtKbIA</recordid><startdate>201604</startdate><enddate>201604</enddate><creator>Panych, Lawrence P.</creator><creator>Chiou, Jr-Yuan George</creator><creator>Qin, Lei</creator><creator>Kimbrell, Vera L.</creator><creator>Bussolari, Lisa</creator><creator>Mulkern, Robert V.</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7QO</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>201604</creationdate><title>On replacing the manual measurement of ACR phantom images performed by MRI technologists with an automated measurement approach</title><author>Panych, Lawrence P. ; Chiou, Jr-Yuan George ; Qin, Lei ; Kimbrell, Vera L. ; Bussolari, Lisa ; Mulkern, Robert V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3962-735896ad9dfa24db160ca1bb2b9cbe4ef77c78cbcc8cb7a52c776ec2e8f4b07a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>accreditation</topic><topic>ACR phantom imaging</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Observer Variation</topic><topic>Pattern Recognition, Automated</topic><topic>Phantoms, Imaging</topic><topic>quality assurance</topic><topic>Quality Control</topic><topic>Radiology - methods</topic><topic>Radiology - standards</topic><topic>Reference Values</topic><topic>Signal-To-Noise Ratio</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Panych, Lawrence P.</creatorcontrib><creatorcontrib>Chiou, Jr-Yuan George</creatorcontrib><creatorcontrib>Qin, Lei</creatorcontrib><creatorcontrib>Kimbrell, Vera L.</creatorcontrib><creatorcontrib>Bussolari, Lisa</creatorcontrib><creatorcontrib>Mulkern, Robert V.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of magnetic resonance imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Panych, Lawrence P.</au><au>Chiou, Jr-Yuan George</au><au>Qin, Lei</au><au>Kimbrell, Vera L.</au><au>Bussolari, Lisa</au><au>Mulkern, Robert V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>On replacing the manual measurement of ACR phantom images performed by MRI technologists with an automated measurement approach</atitle><jtitle>Journal of magnetic resonance imaging</jtitle><addtitle>J. Magn. Reson. Imaging</addtitle><date>2016-04</date><risdate>2016</risdate><volume>43</volume><issue>4</issue><spage>843</spage><epage>852</epage><pages>843-852</pages><issn>1053-1807</issn><eissn>1522-2586</eissn><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. J. Magn. Reson. Imaging 2016;43:843–852</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>26395366</pmid><doi>10.1002/jmri.25052</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Journal of magnetic resonance imaging, 2016-04, Vol.43 (4), p.843-852 |
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| source | Wiley Online Library - AutoHoldings Journals; MEDLINE; Wiley Online Library (Open Access Collection) |
| subjects | accreditation ACR phantom imaging Humans Image Processing, Computer-Assisted - methods Magnetic resonance imaging Magnetic Resonance Imaging - methods Observer Variation Pattern Recognition, Automated Phantoms, Imaging quality assurance Quality Control Radiology - methods Radiology - standards Reference Values Signal-To-Noise Ratio Software |
| title | On replacing the manual measurement of ACR phantom images performed by MRI technologists with an automated measurement approach |
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