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

2020; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-030-60946-7_5

1611-3349

Jonas Bianchi, Beatriz Paniagua, Antônio Carlos de Oliveira Ruellas, Jean‐Christophe Fillion‐Robin, Juan C. Prietro, João Roberto Gonçalves, James Hoctor, Marília Yatabe, Martin Styner, Tengfei Li, Marcela Gurgel, Cauby Maia Chaves, Camila Massaro, Daniela Gamba Garib, Lorena Vilanova, José Fernando Castanha Henriques, Aron Aliaga–Del Castillo, Guilherme Janson, Laura R. Iwasaki, Jeffrey C. Nickel, Karine Evangelista, Lucía Cevidanes,

AI in cancer detection

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.