3D Slicer Craniomaxillofacial Modules Support Patient-Specific Decision-Making for Personalized Healthcare in Dental Research

• Autor(a) principal: Bianchi, Jonas
• Data de Publicação: 2020
• Outros Autores: 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
• Tipo de documento: Artigo de conferência
• Idioma: eng
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://dx.doi.org/10.1007/978-3-030-60946-7_5; http://hdl.handle.net/11449/233042
• topic: Craniomaxillofacial diseases; Data analytics; Data management; Dental research; Personalized medicine

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.