Title
3D Slicer Craniomaxillofacial Modules Support Patient-Specific Decision-Making for Personalized Healthcare in Dental Research
Date Issued
01 January 2020
Access level
open access
Resource Type
conference paper
Author(s)
Bianchi J.
Paniagua B.
De Oliveira Ruellas A.C.
Fillion-Robin J.C.
Prietro J.C.
Gonçalves J.R.
Hoctor J.
Yatabe M.
Styner M.
Li T.F.
Gurgel M.L.
Chaves Junior C.M.
Massaro C.
Garib D.G.
Vilanova L.
Henriques J.F.C.
Janson G.
Iwasaki L.R.
Nickel J.C.
Evangelista K.
Cevidanes L.
Federal University of Ceara
Publisher(s)
Springer Science and Business Media Deutschland GmbH
Abstract
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.
Start page
44
End page
53
Volume
12445 LNCS
Language
English
OCDE Knowledge area
Odontología, Cirugía oral, Medicina oral
Subjects
Scopus EID
2-s2.0-85092628965
ISBN
9783030609450
Source
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN of the container
03029743
Sponsor(s)
Acknowledgements. This study was supported by NIH grants DE R01DE024450, R21DE025306 and R01 EB021391.
This work received funding from the Austrian Science Fund (FWF) KLI 678-B31 (enFaced-Virtual and Augmented Reality Training and Navigation Module for 3D-Printed Facial Defect Reconstructions). Further, this work sees the support of CAMed-Clinical additive manufacturing for medical applications (COMET K-Project 871132), which is funded by the Austrian Federal Ministry of Transport, Innovation and Technology (BMVIT), and the Austrian Federal Ministry for Digital and Economic Affairs (BMDW), and the Styrian Business Promotion Agency (SFG), and the TU Graz Lead Project (Mechanics, Modeling and Simulation of Aortic Dissection). Moreover, the Summer Bachelor (SB) Program of the Institute of Computer Graphics and Vision (ICG) of the Graz University of Technology (TU Graz). Finally, we want to point out to our medical online framework Studierfenster (www.studierfenster.at), where an automatic single-shot 3D face reconstruction and registration module has been integrated, and a video tutorial is available on YouTube (3D Face Reconstruction and Registration with Studierfenster: https://www.youtube.com/watch?v=DbbFm9XxlGE).
Sources of information:
Directorio de Producción Científica
Scopus