{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T00:13:37Z","timestamp":1783469617769,"version":"3.55.0"},"reference-count":40,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2023,2,22]],"date-time":"2023-02-22T00:00:00Z","timestamp":1677024000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"University of Rijeka","award":["uniri-biomed-18-71"],"award-info":[{"award-number":["uniri-biomed-18-71"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The inspection of patients\u2019 soft tissues and the effects of various dental procedures on their facial physiognomy are quite challenging. To minimise discomfort and simplify the process of manual measuring, we performed facial scanning and computer measurement of experimentally determined demarcation lines. Images were acquired using a low-cost 3D scanner. Two consecutive scans were obtained from 39 participants, to test the scanner repeatability. An additional ten persons were scanned before and after forward movement of the mandible (predicted treatment outcome). Sensor technology that combines red, green, and blue (RGB) data with depth information (RGBD) integration was used for merging frames into a 3D object. For proper comparison, the resulting images were registered together, which was performed with ICP (Iterative Closest Point)-based techniques. Measurements on 3D images were performed using the exact distance algorithm. One operator measured the same demarcation lines directly on participants; repeatability was tested (intra-class correlations). The results showed that the 3D face scans were reproducible with high accuracy (mean difference between repeated scans &lt;1%); the actual measurements were repeatable to some extent (excellent only for the tragus-pogonion demarcation line); computational measurements were accurate, repeatable, and comparable to the actual measurements. Three dimensional (3D) facial scans can be used as a faster, more comfortable for patients, and more accurate technique to detect and quantify changes in facial soft tissue resulting from various dental procedures.<\/jats:p>","DOI":"10.3390\/s23052412","type":"journal-article","created":{"date-parts":[[2023,2,22]],"date-time":"2023-02-22T02:57:38Z","timestamp":1677034658000},"page":"2412","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Comparing Direct Measurements and Three-Dimensional (3D) Scans for Evaluating Facial Soft Tissue"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6052-8785","authenticated-orcid":false,"given":"Boris","family":"Ga\u0161parovi\u0107","sequence":"first","affiliation":[{"name":"Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia"},{"name":"Center for Artificial Intelligence and Cybersecurity, University of Rijeka, R. Matej\u010di\u0107 2, 51000 Rijeka, Croatia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7447-0692","authenticated-orcid":false,"given":"Luka","family":"Morelato","sequence":"additional","affiliation":[{"name":"Faculty of Dental Medicine, University of Rijeka, Kre\u0161imirova 40-42, 51000 Rijeka, Croatia"},{"name":"Clinical Hospital Centre Rijeka, Kre\u0161imirova 42, 51000 Rijeka, Croatia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0201-4177","authenticated-orcid":false,"given":"Kristijan","family":"Lenac","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0643-4577","authenticated-orcid":false,"given":"Goran","family":"Mau\u0161a","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5594-0740","authenticated-orcid":false,"given":"Alexei","family":"Zhurov","sequence":"additional","affiliation":[{"name":"Applied Clinical Research & Public Health, School of Dentistry, Cardiff University, College of Biomedical & Life Sciences Heath Park, Cardiff CF14 4XY, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vi\u0161nja","family":"Kati\u0107","sequence":"additional","affiliation":[{"name":"Faculty of Dental Medicine, University of Rijeka, Kre\u0161imirova 40-42, 51000 Rijeka, Croatia"},{"name":"Clinical Hospital Centre Rijeka, Kre\u0161imirova 42, 51000 Rijeka, Croatia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2191","DOI":"10.1016\/j.joms.2017.05.010","article-title":"Soft Tissue Changes Measured WithThree-Dimensional Software ProvidesNew Insights for Surgical Predictions","volume":"75","author":"Chang","year":"2017","journal-title":"J. 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