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3D Facial and Cranial Model Construction from DICOM Data in Maxillo-Facial Surgery Applications

Santantonio, Giovanni

3D Facial and Cranial Model Construction from DICOM Data in Maxillo-Facial Surgery Applications.

Rel. Federica Marcolin, Enrico Vezzetti, Sandro Moos. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2018

Abstract:

In recent years, the increase in the computing capacity of modern machines has led to the production of ever more realistic digital graphic elements. At the same time, the possibility of automating increasingly complex processes, has led the research to have faster, safer and more reliable results in every field. On medical field, one of the most significant application of the innovations described above, concerns the reconstruction of 3D facial models from 2D DICOM data. This paper analyzes the development of an automated solution for the reconstruction of 3D models of soft tissue and hard bones, to support maxillofacial surgery. The solution presented, starting from 2D medical data in dicom format, comes to the creation of a 3D model, applying segmentation techniques to divide the soft tissue from the hard bones, and reconstructying the 3D model using an algorithm of marching cubes. The results of the automated process are then compared with the 3D models created "manually" using various software for 3D modeling and DICOM 2D data processing.

Relatori: Federica Marcolin, Enrico Vezzetti, Sandro Moos
Anno accademico: 2018/19
Tipo di pubblicazione: Elettronica
Informazioni aggiuntive: Tesi secretata. Fulltext non presente
Soggetti:
Corso di laurea: Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering)
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-32 - INGEGNERIA INFORMATICA
Aziende collaboratrici: NON SPECIFICATO
URI: http://webthesis.biblio.polito.it/id/eprint/9798
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