{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T06:16:26Z","timestamp":1784614586069,"version":"3.55.0"},"reference-count":19,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:00:00Z","timestamp":1656374400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Acta Radiol"],"published-print":{"date-parts":[[2023,3]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Dynamic myocardial computed tomography perfusion (CTP) is a novel technique able to depict cardiac ischemia.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To evaluate the impact of a four-dimensional noise reduction filter (similarity filter [4D-SF]) on image quality in dynamic CTP imaging, allowing for substantial radiation dose reduction.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Material and Methods<\/jats:title>\n                    <jats:p>\n                      Dynamic CTP datasets of 30 patients (16 women) with suspected coronary artery disease, acquired with a 320-slice CT system, were retrieved, reconstructed with the deep learning-based algorithm of the system (DLR), and filtered with the 4D-SF. For each case, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) in six regions of interest (33\u201338mm\n                      <jats:sup>2<\/jats:sup>\n                      ) were calculated before and after filtering, in four-chamber and short-axis views, and t-tested. Furthermore, six radiologists of different expertise evaluated subjective image preference by answering five visual grading analysis-type questions (regarding acceptable level of noise, absence of artifacts, natural appearance, cardiac contour sharpness, diagnostic acceptability) using a 5-point scale. The results were analyzed using visual grade characteristics (VGC) and intraclass correlation coefficient (ICC).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Mean SNR in four-chamber view (unfiltered vs. filtered) were: septum=4.1\u2009\u00b1\u20092.1 versus 7.6\u2009\u00b1\u20095.6; lateral wall=4.5\u2009\u00b1\u20092.0 versus 8.0\u2009\u00b1\u20094.9; CNRseptum=16.6\u2009\u00b1\u20098.9 versus 31.7\u2009\u00b1\u200928; lateral wall=16.2\u2009\u00b1\u20098.9 versus 31.3\u2009\u00b1\u200928.9. Similar results were obtained in short-axis view. The perceived filtered image quality indicated decreased noise (VGC\n                      <jats:sub>AUC<\/jats:sub>\n                      =0.96) and artifacts (0.65), improved natural appearance (0.59), cardiac contour sharpness (0.74), and diagnostic acceptability (0.78). The inter-observer variability was excellent (ICC=0.79). All results were statistically significant ( P\u2009&lt;\u20090.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Similarity filtering after DLR improves image quality, possibly enabling dose reduction in dynamic CTP imaging in patient with suspected chronic coronary syndrome.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/02841851221108804","type":"journal-article","created":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T01:04:18Z","timestamp":1656464658000},"page":"999-1006","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":7,"title":["Multireader image quality evaluation of dynamic myocardial computed tomography perfusion imaging with a novel four-dimensional noise reduction filter"],"prefix":"10.1177","volume":"64","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2934-2392","authenticated-orcid":false,"given":"Olga","family":"Sliwicka","sequence":"first","affiliation":[{"name":"Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands"},{"name":"Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zaneta","family":"Swiderska-Chadaj","sequence":"additional","affiliation":[{"name":"Faculty of Electrical Engineering, Warsaw University of Technology, Warsaw, Poland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miranda","family":"Snoeren","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Monique","family":"Brink","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Khibar","family":"Salah","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liesbeth","family":"Peters-Bax","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tip","family":"Stille","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martinus Johannes","family":"van Amerongen","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ioannis","family":"Sechopoulos","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jesse","family":"Habets","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2022,6,28]]},"reference":[{"key":"bibr1-02841851221108804","doi-asserted-by":"publisher","DOI":"10.1038\/nrcardio.2010.199"},{"key":"bibr2-02841851221108804","doi-asserted-by":"publisher","DOI":"10.1177\/0284185113475440"},{"key":"bibr3-02841851221108804","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcmg.2018.07.022"},{"key":"bibr4-02841851221108804","doi-asserted-by":"publisher","DOI":"10.22468\/cvia.2018.00031"},{"key":"bibr5-02841851221108804","unstructured":"Smit EJ, Prokop M. 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