{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T12:18:16Z","timestamp":1762604296461,"version":"3.41.2"},"reference-count":29,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,10,22]],"date-time":"2021-10-22T00:00:00Z","timestamp":1634860800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["2019H0042","2019I0023","2020I0028","2020J01455"],"award-info":[{"award-number":["2019H0042","2019I0023","2020I0028","2020J01455"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62003089"],"award-info":[{"award-number":["62003089"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Robotics Computer Surgery"],"published-print":{"date-parts":[[2022,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>The existing augmented reality (AR) based neuronavigation systems typically require markers and additional tracking devices for model registration, which causes excessive preparatory steps.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>For fast and accurate intraoperative navigation, this work proposes a marker\u2010less AR system that tracks the head features with the monocular camera. After the semi\u2010automatic initialization process, the feature points between the captured image and the pre\u2010loaded keyframes are matched for obtaining correspondences. The camera pose is estimated by solving the Perspective\u2010n\u2010Point problem.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The localization error of AR visualization on scalp and falx meningioma is 0.417\u00a0\u00b1\u00a00.057 and 1.413\u00a0\u00b1\u00a00.282\u00a0mm, respectively. The maximum localization error is less than 2\u00a0mm. The AR system is robust to occlusions and changes in viewpoint and scale.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>We demonstrate that the developed system can successfully display the augmented falx meningioma with enough accuracy and provide guidance for neurosurgeons to locate the tumour in brain.<\/jats:p><\/jats:sec>","DOI":"10.1002\/rcs.2341","type":"journal-article","created":{"date-parts":[[2021,10,16]],"date-time":"2021-10-16T12:25:23Z","timestamp":1634387123000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Marker\u2010less augmented reality based on monocular vision for falx meningioma localization"],"prefix":"10.1002","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1445-4620","authenticated-orcid":false,"given":"Zongchao","family":"Yi","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering and Automation Fuzhou University  Fuzhou 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