Autor(es):
Bianchi, Jonas ; Paniagua, Beatriz ; De Oliveira Ruellas, Antonio Carlos ; Fillion-Robin, Jean-Christophe ; Prietro, Juan C. ; Gonçalves, João Roberto [UNESP] ; Hoctor, James ; Yatabe, Marília ; Styner, Martin ; Li, TengFei ; Gurgel, Marcela Lima ; Chaves Junior, Cauby Maia ; Massaro, Camila ; Garib, Daniela Gamba ; Vilanova, Lorena ; Henriques, Jose Fernando Castanha ; Castillo, Aron Aliaga-Del ; Janson, Guilherme ; Iwasaki, Laura R. ; Nickel, Jeffrey C. ; Evangelista, Karine ; Cevidanes, Lucia
Data: 2022
Identificador Persistente: http://hdl.handle.net/11449/233042
Origem: Oasisbr
Assunto(s): Craniomaxillofacial diseases; Data analytics; Data management; Dental research; Personalized medicine
Descrição
Made available in DSpace on 2022-05-01T00:16:34Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-01-01
Bundesministerium für Digitalisierung und Wirtschaftsstandort
TU Graz, Internationale Beziehungen und Mobilitätsprogramme
Austrian Science Fund
The biggest challenge to improve the diagnosis and therapies of Craniomaxillofacial conditions is to translate algorithms and software developments towards the creation of holistic patient models. A complete picture of the individual patient for treatment planning and personalized healthcare requires a compilation of clinician-friendly algorithms to provide minimally invasive diagnostic techniques with multimodal image integration and analysis. We describe here the implementation of the open-source Craniomaxillofacial module of the 3D Slicer software, as well as its clinical applications. This paper proposes data management approaches for multisource data extraction, registration, visualization, and quantification. These applications integrate medical images with clinical and biological data analytics, user studies, and other heterogeneous data.
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Austrian Science Fund: KLI 678-B31
