Detail publikace

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.

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

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

Vydáno

2. 1. 2019

Nakladatel

Springer

Místo

Singapore

ISBN

978-981-10-9034-9

Kniha

World Congress on Medical Physics and Biomedical Engineering 2018

ISSN

1680-0737

Periodikum

IFMBE PROCEEDINGS

Ročník

68

Číslo

1

Stát

Švédské království

Strany od

223

Strany do

226

Strany počet

4

URL

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"
}