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

Jonas Bianchi, Beatriz Paniagua, Antonio Carlos De Oliveira Ruellas, Jean Christophe Fillion-Robin, Juan C. Prietro, João Roberto Gonçalves, James Hoctor, Marília Yatabe, Martin Styner, Teng Fei Li, Marcela Lima Gurgel, Cauby Maia Chaves Junior, Camila Massaro, Daniela Gamba Garib, Lorena Vilanova, Jose Fernando Castanha Henriques, Aron Aliaga Del Castillo, Guilherme Janson, Laura R. Iwasaki, Jeffrey C. NickelKarine Evangelista, Lucia Cevidanes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationMultimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures - 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, Held in Conjunction with MICCAI 2020, Proceedings
EditorsTanveer Syeda-Mahmood, Klaus Drechsler, Hayit Greenspan, Anant Madabhushi, Alexandros Karargyris, Cristina Oyarzun Laura, Stefan Wesarg, Marius George Linguraru, Raj Shekhar, Marius Erdt, Miguel Ángel González Ballester
PublisherSpringer Science and Business Media Deutschland GmbH
Pages44-53
Number of pages10
ISBN (Print)9783030609450
DOIs
StatePublished - 2020
Event10th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2020, and the 9th International Workshop on Clinical Image-Based Procedures, CLIP 2020, held in conjunction with the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020 - Lima, Peru
Duration: Oct 4 2020Oct 8 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12445 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2020, and the 9th International Workshop on Clinical Image-Based Procedures, CLIP 2020, held in conjunction with the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020
CountryPeru
CityLima
Period10/4/2010/8/20

Keywords

  • Craniomaxillofacial diseases
  • Data analytics
  • Data management
  • Dental research
  • Personalized medicine

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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