Publication detail

Fully Automatic CAD System for Spine Localisation and Vertebra Segmentation in CT Data

JAKUBÍČEK, R. CHMELÍK, J. JAN, J. OUŘEDNÍČEK, P. LAMBERT, L. GAVELLI, G.

Original Title

Fully Automatic CAD System for Spine Localisation and Vertebra Segmentation in CT Data

Type

conference paper

Language

English

Original Abstract

In this paper, we describe a fully automatic CAD system for spine detection in CT data followed by vertebra identification and segmentation. There are several basic problems: spine detection including the determination of spinal axis in spinal CT data, a localisation of individual vertebrae and identification of their types (order in spine) in case of incomplete scans of spine and also the final vertebra segmentation. By a subjective strict expert validation, the algorithm provides 82.6% of fully correct vertebra segmentations. Based on that, it seems to be routinely usable and fully applicable in preparation for the following automatic spine bone lesion analysis.

Keywords

Spine detection; Vertebra identification and segmentation; CADx; CT data; Oncological patient

Authors

JAKUBÍČEK, R.; CHMELÍK, J.; JAN, J.; OUŘEDNÍČEK, P.; LAMBERT, L.; GAVELLI, G.

Released

2. 1. 2019

Publisher

Springer

Location

Singapore

ISBN

978-981-10-9034-9

Book

World Congress on Medical Physics and Biomedical Engineering 2018

ISBN

1680-0737

Periodical

IFMBE PROCEEDINGS

Year of study

68

Number

1

State

Kingdom of Sweden

Pages from

223

Pages to

226

Pages count

4

URL

https://doi.org/10.1007/978-981-10-9035-6_40

BibTex

@inproceedings{BUT147824,
  author="JAKUBÍČEK, R. and CHMELÍK, J. and JAN, J. and OUŘEDNÍČEK, P. and LAMBERT, L. and GAVELLI, G.",
  title="Fully Automatic CAD System for Spine Localisation and Vertebra Segmentation in CT Data",
  booktitle="World Congress on Medical Physics and Biomedical Engineering 2018",
  year="2019",
  journal="IFMBE PROCEEDINGS",
  volume="68",
  number="1",
  pages="223--226",
  publisher="Springer",
  address="Singapore",
  doi="10.1007/978-981-10-9035-6\{_}40",
  isbn="978-981-10-9034-9",
  issn="1680-0737",
  url="https://doi.org/10.1007/978-981-10-9035-6_40"
}