{"id":{"repo_id":"milano","oai_identifier":"oai:air.unimi.it:2434/948169"},"canonical_url":"https://search.dev.ndltd.org/etd/milano/oai:air.unimi.it:2434/948169","repository":{"repo_id":"milano","name":"Università degli Studi di Milano","base_url":"https://air.unimi.it/oai/request"},"display":{"title":"TECHNOLOGICAL BREAKTHROUGH TOWARDS THE USE OF A NOVEL VISUAL-INERTIAL ODOMETRY SYSTEM AS AN AID FOR THE DIGITALLY-GUIDED INTERVENTION","abstract":"Recent data availability of three dimensional imaging brought new possibilities for the guided intervention. The management of complex data requires the use of new tools and new technologies. We analyzed the use of algorithms for the automatic, ai-driven segmentation to extrapolate the best systems for the use of CBCTs. The tool improves the timing and precision of the segmentation and allows to give normal values for the cephalometry. The segmented data can be analyzed through three dimensional alignment, the new techniques will be explored for data synthesis. Finally three dimensional resulting datasets can be exported and used to virtually plan an intervention. After the plan is complete they can be used to bring the clinician a new powerful system for the AR guided intervention. Clinical and research data results and outcomes will be given, bringing both preliminary as well as multidisciplinary researchers in the field of: orthodontics, endodontics and oral surgery with clinical direct performances and results.","abstract_html":"Recent data availability of three dimensional imaging brought new possibilities for the guided intervention. The management of complex data requires the use of new tools and new technologies. We analyzed the use of algorithms for the automatic, ai-driven segmentation to extrapolate the best systems for the use of CBCTs. The tool improves the timing and precision of the segmentation and allows to give normal values for the cephalometry. The segmented data can be analyzed through three dimensional alignment, the new techniques will be explored for data synthesis. Finally three dimensional resulting datasets can be exported and used to virtually plan an intervention. After the plan is complete they can be used to bring the clinician a new powerful system for the AR guided intervention. Clinical and research data results and outcomes will be given, bringing both preliminary as well as multidisciplinary researchers in the field of: orthodontics, endodontics and oral surgery with clinical direct performances and results.","abstract_has_math":false,"creators":["FARRONATO, MARCO"],"institution":"Università degli Studi di Milano","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["tutor: C. Maiorana ; coordinator: M. Del Fabbro","M. Farronato","MAIORANA, CARLO","DEL FABBRO, MASSIMO"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-12-14","date_published":"2022-12-14","updated_at":"2026-07-27T20:18:51Z","subjects":["Augmented reality","digital dentistry","artificial intelligence","segmentation","orthodontic","oral surgery","visual-inertial odometry","Settore MED/28 - Malattie Odontostomatologiche"],"languages":["eng"],"rights":["info:eu-repo/semantics/embargoedAccess"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2434/948169","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["tutor: C. Maiorana ; coordinator: M. Del Fabbro","M. Farronato","MAIORANA, CARLO","DEL FABBRO, MASSIMO"]},{"key":"dc:creator","label":"Author","values":["FARRONATO, MARCO"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-12-14"]},{"key":"dc:publisher","label":"Institution","values":["Università degli Studi di Milano"]},{"key":"dc:type","label":"Dc Type","values":["info:eu-repo/semantics/doctoralThesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Augmented reality","digital dentistry","artificial intelligence","segmentation","orthodontic","oral surgery","visual-inertial odometry","Settore MED/28 - Malattie Odontostomatologiche"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["info:eu-repo/semantics/embargoedAccess"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2434/948169"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Recent data availability of three dimensional imaging brought new possibilities for the guided intervention. The management of complex data requires the use of new tools and new technologies. We analyzed the use of algorithms for the automatic, ai-driven segmentation to extrapolate the best systems for the use of CBCTs. The tool improves the timing and precision of the segmentation and allows to give normal values for the cephalometry. The segmented data can be analyzed through three dimensional alignment, the new techniques will be explored for data synthesis. Finally three dimensional resulting datasets can be exported and used to virtually plan an intervention. After the plan is complete they can be used to bring the clinician a new powerful system for the AR guided intervention. Clinical and research data results and outcomes will be given, bringing both preliminary as well as multidisciplinary researchers in the field of: orthodontics, endodontics and oral surgery with clinical direct performances and results."]},{"key":"dc:title","label":"Title","values":["TECHNOLOGICAL BREAKTHROUGH TOWARDS THE USE OF A NOVEL VISUAL-INERTIAL ODOMETRY SYSTEM AS AN AID FOR THE DIGITALLY-GUIDED INTERVENTION"]}]}],"canonical_facts":{"dc:contributor":["tutor: C. Maiorana ; coordinator: M. Del Fabbro","M. Farronato","MAIORANA, CARLO","DEL FABBRO, MASSIMO"],"dc:creator":["FARRONATO, MARCO"],"dc:date":["2022-12-14"],"dc:description":["Recent data availability of three dimensional imaging brought new possibilities for the guided intervention. The management of complex data requires the use of new tools and new technologies. We analyzed the use of algorithms for the automatic, ai-driven segmentation to extrapolate the best systems for the use of CBCTs. The tool improves the timing and precision of the segmentation and allows to give normal values for the cephalometry. The segmented data can be analyzed through three dimensional alignment, the new techniques will be explored for data synthesis. Finally three dimensional resulting datasets can be exported and used to virtually plan an intervention. After the plan is complete they can be used to bring the clinician a new powerful system for the AR guided intervention. Clinical and research data results and outcomes will be given, bringing both preliminary as well as multidisciplinary researchers in the field of: orthodontics, endodontics and oral surgery with clinical direct performances and results."],"dc:identifier":["https://hdl.handle.net/2434/948169"],"dc:language":["eng"],"dc:publisher":["Università degli Studi di Milano"],"dc:rights":["info:eu-repo/semantics/embargoedAccess"],"dc:subject":["Augmented reality","digital dentistry","artificial intelligence","segmentation","orthodontic","oral surgery","visual-inertial odometry","Settore MED/28 - Malattie Odontostomatologiche"],"dc:title":["TECHNOLOGICAL BREAKTHROUGH TOWARDS THE USE OF A NOVEL VISUAL-INERTIAL ODOMETRY SYSTEM AS AN AID FOR THE DIGITALLY-GUIDED INTERVENTION"],"dc:type":["info:eu-repo/semantics/doctoralThesis"]},"updated_at":"2026-07-27T20:18:51Z"}