Result Details

Segmentation of Defective Skulls from CT Data for Tissue Modelling

KODYM, O.; ŠPANĚL, M.; HEROUT, A. Segmentation of Defective Skulls from CT Data for Tissue Modelling. Computational Methods and Clinical Applications in Musculoskeletal Imaging. Shenzhen: 2019. 9 p.
Type
presentation, poster
Language
English
Authors
Kodym Oldřich, Ing., Ph.D., DCGM (FIT)
Španěl Michal, doc. Ing., Ph.D., DCGM (FIT)
Herout Adam, prof. Ing., Ph.D., DCGM (FIT)
Abstract

This work presents a  method  of  automatic  segmentation of defective skulls for custom cranial implant design and 3D printing  purposes.

Keywords

Computed Tomography, Pre-surgical Planning, Segmentation, Convolutional Neural Networks, Graph-Cut

Published
2019
Pages
9
Book
Computational Methods and Clinical Applications in Musculoskeletal Imaging
Conference
Computational Methods and Clinical Applications in Musculoskeletal Imaging Workshop in conjuction with MICCAI 2019
Place
Shenzhen
BibTeX 
@misc{BUT162280,
  author="Oldřich {Kodym} and Michal {Španěl} and Adam {Herout}",
  title="Segmentation of Defective Skulls from CT Data for Tissue Modelling",
  booktitle="Computational Methods and Clinical Applications in Musculoskeletal Imaging",
  year="2019",
  pages="9",
  address="Shenzhen"
}
Projects
TESCAN 3DIM - Deep learning methods for 3D image processing, TESCAN 3DIM, start: 2019-01-01, end: 2019-12-31, completed
V3C - Visual Computing Competence Center, TAČR, Centra kompetence, TE01020415, start: 2012-05-01, end: 2019-12-31, completed
Zpracování, zobrazování a analýza multimediálních a 3D dat, BUT, Vnitřní projekty VUT, FIT-S-17-3984, start: 2017-03-01, end: 2020-02-29, completed
Research groups
Computer Graphics Research Group (RG GRAPH)
Departments
Department of Computer Graphics and Multimedia (DCGM)
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