{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,15]],"date-time":"2026-08-15T12:27:25Z","timestamp":1786796845287,"version":"build-2736575974"},"reference-count":21,"publisher":"IOP Publishing","issue":"18","license":[{"start":{"date-parts":[[2019,9,17]],"date-time":"2019-09-17T00:00:00Z","timestamp":1568678400000},"content-version":"vor","delay-in-days":16,"URL":"https:\/\/publishingsupport.iopscience.iop.org\/iop-standard\/v1"},{"start":{"date-parts":[[2019,9,17]],"date-time":"2019-09-17T00:00:00Z","timestamp":1568678400000},"content-version":"tdm","delay-in-days":16,"URL":"https:\/\/iopscience.iop.org\/info\/page\/text-and-data-mining"}],"content-domain":{"domain":["iopscience.iop.org"],"crossmark-restriction":false},"short-container-title":["Phys. Med. Biol."],"published-print":{"date-parts":[[2019,9,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Assessment of x-ray angiography system performance is typically performed using stationary test objects with simple geometries such as a disk on a uniform background. However, these methods do not represent realistic imaging conditions in interventional cardiology as anatomy and devices are inherently non-stationary due to cardiac motion. In this work, a novel implementation of the channelized Hotelling observer (CHO) was used to assess the influence of motion blur on object detectability. A standard CHO model assumes imaging system stationarity whereby the detectability index\n                    <jats:inline-formula\/>\n                    of a test object is independent of location. However, real angiography systems are inherently non-stationary. While vendor correction gain factors and offset maps are used to compensate for visual non-uniformities, these corrections do not restore stationarity to the images. Methods to accommodate non-stationarity and allow assessment of the influence of motion blur on test object detectability will be presented. The effect of motion blur was quantified with the relative detectability index (\n                    <jats:inline-formula\/>\n                    ), where the\n                    <jats:inline-formula\/>\n                    for an object when moving with constant linear velocity was compared to a low velocity \u2018pseudo-stationary\u2019 condition to account for system non-stationarity. The pseudo-stationary condition was used to isolate the influences of spatial non-stationarity and motion blur. Three different test object shapes (disks, spheres and capsules) with linear velocity in the range 0\u201330\u2009cm \u00b7 s\n                    <jats:sup>\u22121<\/jats:sup>\n                    were tested. For 1\u2009mm diameter objects and linear velocity 30\u2009cm \u00b7 s\n                    <jats:sup>\u22121<\/jats:sup>\n                    ,\n                    <jats:inline-formula\/>\n                    was degraded by 37%, 33% and 42% for the disk, sphere and capsule respectively, relative to the pseudo-stationary condition. Considering all test objects with diameter greater than 2\u2009mm and linear velocity 30\u2009cm \u00b7 s\n                    <jats:sup>\u22121<\/jats:sup>\n                    ,\n                    <jats:inline-formula\/>\n                    was degraded by less than 10% due to motion. In summary, this work describes a new approach to assess performance of x-ray angiography systems using the CHO model and moving test objects.\n                  <\/jats:p>","DOI":"10.1088\/1361-6560\/ab39c4","type":"journal-article","created":{"date-parts":[[2019,8,8]],"date-time":"2019-08-08T18:45:28Z","timestamp":1565289928000},"page":"185011","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Integration of high velocity test object motion into a channelized Hotelling observer for the assessment of x-ray angiography systems"],"prefix":"10.1088","volume":"64","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8297-4981","authenticated-orcid":false,"given":"Ashley","family":"Tao","sequence":"first","affiliation":[{"name":"Mayo Clinic"},{"name":"Gundersen Health System"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kenneth","family":"Fetterly","sequence":"additional","affiliation":[{"name":"Mayo Clinic"},{"name":"Mayo Clinic"},{"name":"Author to whom any correspondence should be addressed."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"266","published-online":{"date-parts":[[2019,9,17]]},"reference":[{"key":"pmbab39c4bib001","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1118\/1.597285","type":"journal-article","article-title":"Perceptual comparison of pulsed and continuous fluoroscopy","volume":"21","author":"Aufrichtig","year":"1994","journal-title":"Med. 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All rights, including for text and data mining, AI training, and similar technologies, are reserved.","name":"copyright_information","label":"Copyright Information"},{"value":"2019-03-11","name":"date_received","label":"Date Received","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2019-08-08","name":"date_accepted","label":"Date Accepted","group":{"name":"publication_dates","label":"Publication dates"}},{"value":"2019-09-17","name":"date_epub","label":"Online publication date","group":{"name":"publication_dates","label":"Publication dates"}}]}}