{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T23:47:11Z","timestamp":1777506431154,"version":"3.51.4"},"reference-count":17,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2020,4,6]],"date-time":"2020-04-06T00:00:00Z","timestamp":1586131200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key R&D Program of China","doi-asserted-by":"crossref","award":["2018YFC1106100, 2018YFC1106101"],"award-info":[{"award-number":["2018YFC1106100, 2018YFC1106101"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003399","name":"Science and Technology Commission of Shanghai Municipality","doi-asserted-by":"publisher","award":["17DZ2260100, 19410761100, 19DZ2331400"],"award-info":[{"award-number":["17DZ2260100, 19410761100, 19DZ2331400"]}],"id":[{"id":"10.13039\/501100003399","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Interdisciplinary Program of Shanghai Jiao Tong University","award":["ZH2018QNA07, ZH2018ZDA12"],"award-info":[{"award-number":["ZH2018QNA07, ZH2018ZDA12"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Acta Radiol"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Orbital computed tomography (CT) is commonly used for the diagnosis and digital evaluation of orbital diseases. Yet, this approach requires longer scanning time, increased radiation exposure, and, especially, difficult patient positioning that can affect judgment and data processing. According to high-quality research on orbital imaging, computer-assisted surgery, and artificial intelligent diagnostic development, the correction of a coordinate system is a necessary procedure. Nevertheless, existing manual calibration methods are challenging to reproduce and there is no objective evaluation system for errors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To establish a method for automatic calibration of orbital CT images and implementation of quantitative error evaluation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Material and Methods<\/jats:title>\n                    <jats:p>A standard three-dimensional (3D) orbit model was manually adjusted, and optimized orbital models were reconstructed based on the initial registration of the skull-bound directed bounding box and the registration of the mutual information method. The calibration error was calculated based on the signed distance field. Seventeen cases of orbital CT were quantitatively evaluated.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A new method for automatic calibration and quantitative error evaluation for orbital CT was established. The calibrated model error with \u00b12 mm accounted for 81.61%\u2009\u00b1\u20096.91% of the total models, and the error of \u00b11 mm accounted for 53.49%\u2009\u00b1\u20097.07% of the total models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This convenient tool for orbital CT automatic calibration may promote the related quantitative research based on orbital CT. The automated operation and small error are beneficial to the popularization and application of the tool, and the quantitative evaluation facilitates other coordinate systems.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/0284185120914029","type":"journal-article","created":{"date-parts":[[2020,4,6]],"date-time":"2020-04-06T21:12:07Z","timestamp":1586207527000},"page":"87-92","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":9,"title":["Automatic orbital computed tomography coordinating method and quantitative error evaluation based on signed distance field"],"prefix":"10.1177","volume":"62","author":[{"given":"Guangtao","family":"Zhai","sequence":"first","affiliation":[{"name":"Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziqing","family":"Yin","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Ninth People\u2019s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China"},{"name":"Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lunhao","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Ninth People\u2019s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China"},{"name":"Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuefei","family":"Song","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Ninth People\u2019s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China"},{"name":"Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9976-610X","authenticated-orcid":false,"given":"Yixiong","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, Ninth People\u2019s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China"},{"name":"Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, PR China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2020,4,6]]},"reference":[{"key":"bibr1-0284185120914029","doi-asserted-by":"publisher","DOI":"10.1097\/01.IOP.0000062848.26273.E5"},{"key":"bibr2-0284185120914029","doi-asserted-by":"publisher","DOI":"10.1097\/scs.0b013e31803ffaaa"},{"key":"bibr3-0284185120914029","doi-asserted-by":"publisher","DOI":"10.1016\/j.injury.2016.01.014"},{"key":"bibr4-0284185120914029","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/9721085"},{"key":"bibr5-0284185120914029","doi-asserted-by":"publisher","DOI":"10.1016\/j.jormas.2017.05.007"},{"key":"bibr6-0284185120914029","doi-asserted-by":"publisher","DOI":"10.1097\/SCS.0000000000001345"},{"key":"bibr7-0284185120914029","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcms.2018.11.014"},{"key":"bibr8-0284185120914029","doi-asserted-by":"publisher","DOI":"10.1089\/omi.2018.0097"},{"key":"bibr9-0284185120914029","doi-asserted-by":"publisher","DOI":"10.1002\/mp.13218"},{"key":"bibr10-0284185120914029","doi-asserted-by":"publisher","DOI":"10.1080\/02713683.2018.1510013"},{"key":"bibr11-0284185120914029","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2005.49"},{"key":"bibr12-0284185120914029","doi-asserted-by":"publisher","DOI":"10.1038\/eye.2016.311"},{"key":"bibr13-0284185120914029","doi-asserted-by":"publisher","DOI":"10.1097\/IOP.0000000000001501"},{"key":"bibr14-0284185120914029","doi-asserted-by":"crossref","unstructured":"Ji Y, Zhou Y, Shen Q, et al. 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