{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T05:46:09Z","timestamp":1778823969197,"version":"3.51.4"},"reference-count":45,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2020,4,22]],"date-time":"2020-04-22T00:00:00Z","timestamp":1587513600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics"],"published-print":{"date-parts":[[2020,6,9]]},"abstract":"\n BACKGROUND:<\/jats:title>\n High-resolution, low-noise detectors with minimal dead-space at chest-wall could improve posterior coverage and microcalcification visibility in the dedicated cone-beam breast CT (CBBCT). However, the smaller field-of-view necessitates laterally-shifted detector geometry to enable optimizing the air-gap for x-ray scatter rejection.<\/jats:p>\n <\/jats:sec>\n \n OBJECTIVE:<\/jats:title>\n To evaluate laterally-shifted detector geometry for CBBCT with clinical projection datasets that provide for anatomical structures and lesions.<\/jats:p>\n <\/jats:sec>\n \n METHODS:<\/jats:title>\n \n CBBCT projection datasets ( n\u200a=\u200a17 breasts) acquired with a 40\u00d730\u200acm detector (1024\u00d7768-pixels, 0.388-mm pixels) were truncated along the fan-angle to emulate 20.3\u00d730\u200acm, 22.2\u00d730\u200acm and 24.1\u00d730\u200acm detector formats and correspond to 20, 120, 220 pixels overlap in conjugate views, respectively. Feldkamp-Davis-Kress (FDK) algorithm with 3 different weighting schemes were used for reconstruction. Visual analysis for artifacts and quantitative analysis of root-mean-squared-error (RMSE), absolute difference between truncated and 40\u00d730\u200acm reconstructions ( Diff), and its power spectrum ( PS\n Diff<\/jats:sub>\n ) were performed.\n <\/jats:p>\n <\/jats:sec>\n \n RESULTS:<\/jats:title>\n \n Artifacts were observed for 20.3\u00d730\u200acm, but not for other formats. The 24.1\u00d730\u200acm provided the best quantitative results with RMSE and Diff (both in units of \u03bc, cm\n -1<\/jats:sup>\n ) of 4.39\u00d710\n -3<\/jats:sup>\n \u00b11.98\u00d710\n -3<\/jats:sup>\n and 4.95\u00d710\n -4<\/jats:sup>\n \u00b11.34\u00d710\n -4<\/jats:sup>\n , respectively. The PS\n Diff<\/jats:sub>\n (>0.3 cycles\/mm) was in the order of 10\n -14<\/jats:sup>\n \u03bc\n 2<\/jats:sup>\n mm\n 3<\/jats:sup>\n and was spatial-frequency independent.\n <\/jats:p>\n <\/jats:sec>\n \n CONCLUSIONS:<\/jats:title>\n Laterally-shifted detector CBBCT with at least 220 pixels overlap in conjugate views (24.1\u00d730\u200acm detector format) provides quantitatively accurate and artifact-free image reconstruction.<\/jats:p>\n <\/jats:sec>","DOI":"10.3233\/xst-200651","type":"journal-article","created":{"date-parts":[[2020,4,24]],"date-time":"2020-04-24T11:56:44Z","timestamp":1587729404000},"page":"405-426","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":11,"title":["Dedicated cone-beam breast CT using laterally-shifted detector geometry: Quantitative analysis of feasibility for clinical translation"],"prefix":"10.1177","volume":"28","author":[{"given":"Srinivasan","family":"Vedantham","sequence":"first","affiliation":[{"name":"Department of Medical Imaging, University of Arizona, Tucson, AZ, USA"},{"name":"Department of Biomedical Engineering, University of Arizona, Tucson, AZ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hsin-Wu","family":"Tseng","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, University of Arizona, Tucson, AZ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Souleymane","family":"Konate","sequence":"additional","affiliation":[{"name":"Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linxi","family":"Shi","sequence":"additional","affiliation":[{"name":"Department of Radiology, Stanford University, Stanford, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrew","family":"Karellas","sequence":"additional","affiliation":[{"name":"Department of Medical Imaging, University of Arizona, Tucson, AZ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2020,4,22]]},"reference":[{"key":"ref001","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.205.2.9356620"},{"key":"ref002","doi-asserted-by":"publisher","DOI":"10.1016\/S1076-6332(00)80061-6"},{"key":"ref003","doi-asserted-by":"publisher","DOI":"10.1016\/S1076-6332(03)80530-5"},{"key":"ref004","doi-asserted-by":"publisher","DOI":"10.1118\/1.2400836"},{"key":"ref005","doi-asserted-by":"publisher","DOI":"10.1118\/1.2428404"},{"key":"ref006","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2015141303"},{"key":"ref007","doi-asserted-by":"publisher","DOI":"10.1016\/j.clinimag.2018.07.013"},{"key":"ref008","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2463070410"},{"key":"ref009","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2471071080"},{"key":"ref010","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/52\/3\/005"},{"key":"ref011","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-011-2169-4"},{"key":"ref012","doi-asserted-by":"publisher","DOI":"10.1118\/1.3688197"},{"key":"ref013","doi-asserted-by":"publisher","DOI":"10.1118\/1.4704641"},{"key":"ref014","doi-asserted-by":"publisher","DOI":"10.1118\/1.4820440"},{"key":"ref015","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.08.1017"},{"key":"ref016","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.10092311"},{"key":"ref017","doi-asserted-by":"publisher","DOI":"10.1111\/tbj.12327"},{"key":"ref018","first-page":"64","volume":"4","author":"Vedantham S.","year":"2014","journal-title":"J Clin Imaging Sci"},{"key":"ref019","doi-asserted-by":"publisher","DOI":"10.1111\/tbj.12285"},{"key":"ref020","doi-asserted-by":"publisher","DOI":"10.1053\/j.sult.2017.09.001"},{"key":"ref021","unstructured":"ColeE.B., CampbellA.S., VedanthamS., et al., Clinical performance of dedicated breast computed tomography in comparison to diagnostic digital mammography [abstract # SSA01-09]. 101st Scientific Assembly and Annual Meeting of the Radiological Society of North America November 29 - December 4; Chicago, IL, 2015."},{"key":"ref022","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/58\/22\/7921"},{"key":"ref023","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/59\/11\/2659"},{"key":"ref024","doi-asserted-by":"publisher","DOI":"10.1117\/12.713751"},{"key":"ref025","doi-asserted-by":"publisher","DOI":"10.1118\/1.4915079"},{"key":"ref026","doi-asserted-by":"publisher","DOI":"10.1118\/1.3447720"},{"key":"ref027","doi-asserted-by":"publisher","DOI":"10.1109\/TNS.2013.2276123"},{"key":"ref028","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/58\/12\/4099"},{"key":"ref029","doi-asserted-by":"publisher","DOI":"10.1118\/1.4765050"},{"key":"ref030","doi-asserted-by":"publisher","DOI":"10.1364\/JOSAA.1.000612"},{"key":"ref031","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/40\/11\/007"},{"key":"ref032","doi-asserted-by":"publisher","DOI":"10.1016\/0895-6111(96)00031-6"},{"key":"ref033","doi-asserted-by":"publisher","DOI":"10.1118\/1.1489043"},{"key":"ref034","doi-asserted-by":"publisher","DOI":"10.1118\/1.3578342"},{"key":"ref035","doi-asserted-by":"publisher","DOI":"10.1109\/TNS.2004.835781"},{"key":"ref036","doi-asserted-by":"publisher","DOI":"10.1088\/0031-9155\/58\/2\/205"},{"key":"ref037","doi-asserted-by":"publisher","DOI":"10.1016\/S0360-3016(02)02884-5"},{"key":"ref038","doi-asserted-by":"publisher","DOI":"10.1109\/NSSMIC.2009.5401571"},{"key":"ref039","unstructured":"VedanthamS., KonateS., ShiL., et al., Dedicated cone-beam breast CT with laterally shifted CMOS detector.\n The 4th International Conference on Image Formation in X-ray Computed Tomography\n ; July 18-22, 2016; Bamberg, Germany. pp. 291-4."},{"key":"ref040","doi-asserted-by":"publisher","DOI":"10.1118\/1.4814101"},{"key":"ref041","doi-asserted-by":"publisher","DOI":"10.1118\/1.4793257"},{"key":"ref042","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12686"},{"key":"ref043","doi-asserted-by":"publisher","DOI":"10.1118\/1.4955121"},{"key":"ref044","doi-asserted-by":"publisher","DOI":"10.1002\/mp.12213"},{"key":"ref045","doi-asserted-by":"publisher","DOI":"10.1118\/1.3567147"}],"container-title":["Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/XST-200651","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/XST-200651","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/XST-200651","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T06:06:59Z","timestamp":1777615619000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/XST-200651"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4,22]]},"references-count":45,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2020,6,9]]}},"alternative-id":["10.3233\/XST-200651"],"URL":"https:\/\/doi.org\/10.3233\/xst-200651","relation":{},"ISSN":["0895-3996","1095-9114"],"issn-type":[{"value":"0895-3996","type":"print"},{"value":"1095-9114","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,4,22]]}}}