Segmentation of Defective Skulls from CT Data for Tissue Modelling

KODYM, O.; ŠPANĚL, M.; HEROUT, A.

Original Title

Segmentation of Defective Skulls from CT Data for Tissue Modelling

English Title

Segmentation of Defective Skulls from CT Data for Tissue Modelling

Type

Presentation, poster

Original Abstract

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

English 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

Key words in English

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

Authors

KODYM, O.; ŠPANĚL, M.; HEROUT, A.

RIV year

2020

Released

17.10.2019

Location

Shenzhen

Book

Computational Methods and Clinical Applications in Musculoskeletal Imaging

Pages count

9

Full text in the Digital Library

http://hdl.handle.net/

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"
}