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MRI scanner variability studies using a semi-automated analysis system

dc.contributor.authorHyde, Rosemary J.en_US
dc.contributor.authorEllis, James H.en_US
dc.contributor.authorGardner, Edward A.en_US
dc.contributor.authorZhang, Yantianen_US
dc.contributor.authorCarson, Paul L.en_US
dc.date.accessioned2006-04-10T18:30:20Z
dc.date.available2006-04-10T18:30:20Z
dc.date.issued1994en_US
dc.identifier.citationHyde, Rosemary J., Ellis, James H., Gardner, Edward A., Zhang, Yantian, Carson, Paul L. (1994)."MRI scanner variability studies using a semi-automated analysis system." Magnetic Resonance Imaging 12(7): 1089-1097. <http://hdl.handle.net/2027.42/31950>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6T9D-4C06DR4-H/2/9e89ec23949a3045d6b98da8ac8d0140en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/31950
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=7997096&dopt=citationen_US
dc.description.abstractDue to the unique design of the Parallel Rod Test Object (PRoTO) and the associated semi-automated analysis program, it was necessary to test it extensively for precision and accuracy, and preliminarily for utility, before its distribution for wider use in MRI system quality control (QC). The test object and analysis program measured the desired quantities reproducibly and they accurately measured predicted changes from intentionally adjusted imaging system parameters, yielding sensitivity of the various test measures to deviation in the system operating parameters. From a single scan of the most recent revision of the test object, multiple quantitative quality control measures were obtained throughout the scanning volume on two MR imaging systems over periods of six and twelve months, respectively. From these and earlier trials, an initial indication was obtained of which performance measures are worth monitoring for QC. This experience suggests that signal-to-noise ratio (SNR) and distortion (including display scale) should be monitored but not necessarily the resolution. The latter was only found to alter at the same time or later than other parameters such as SNR had changed. Slice thickness was found to vary on some units and this measure was also used in normalizing the SNR by voxel volume. SNR, distortion, and resolution measurements using field-echo sequences were less stable than those using spin-echo sequences. Use of this QC program to test a wide variety of image quality measures allowed timely assessment of the long-term variability of the units tested. Long-term variability may become among the most important measures for comparison of system performance and maintenance. Results are still inconclusive on the importance of tracking measures from sequences that are potentially most sensitive to small system misadjustments.en_US
dc.format.extent1079692 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleMRI scanner variability studies using a semi-automated analysis systemen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelRadiologyen_US
dc.subject.hlbsecondlevelFamily Medicine and Primary Careen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Radiology, Kresge III, Ann Arbor, MI 48109-0553, USA; Ann Arbor Department of Veterans Affairs Medical Center, University of Michigan Medical Center, Ann Arbor, MI 48109-0553, USA.en_US
dc.contributor.affiliationumAnn Arbor Department of Veterans Affairs Medical Center, University of Michigan Medical Center, Ann Arbor, MI 48109-0553, USA; Department of Radiology, Kresge III, Ann Arbor, MI 48109-0553, USA.en_US
dc.contributor.affiliationumAnn Arbor Department of Veterans Affairs Medical Center, University of Michigan Medical Center, Ann Arbor, MI 48109-0553, USAen_US
dc.contributor.affiliationumAnn Arbor Department of Veterans Affairs Medical Center, University of Michigan Medical Center, Ann Arbor, MI 48109-0553, USAen_US
dc.contributor.affiliationumAnn Arbor Department of Veterans Affairs Medical Center, University of Michigan Medical Center, Ann Arbor, MI 48109-0553, USAen_US
dc.identifier.pmid7997096en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/31950/1/0000903.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0730-725X(94)91241-Nen_US
dc.identifier.sourceMagnetic Resonance Imagingen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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