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

D 2019

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

JAKUBICEK, Roman, Jiri CHMELIK, Jiri JAN, Petr OUŘEDNÍČEK, Lukas LAMBERT et. al.

Basic information

Original name

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

Authors

JAKUBICEK, Roman (203 Czech Republic, guarantor), Jiri CHMELIK (203 Czech Republic), Jiri JAN (203 Czech Republic), Petr OUŘEDNÍČEK (203 Czech Republic, belonging to the institution), Lukas LAMBERT (203 Czech Republic) and Giampaolo GAVELLI (380 Italy)

Edition

NEW YORK, WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2018, VOL 1, p. 223-226, 4 pp. 2019

Publisher

SPRINGER

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

30224 Radiology, nuclear medicine and medical imaging

Country of publisher

Germany

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

URL

RIV identification code

RIV/00216224:14110/19:00113593

Organization unit

Faculty of Medicine

ISBN

978-981-10-9034-9

ISSN

DOI

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

UT WoS

000450908300040

Keywords in English

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

Abstract

V originále

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.

Citovat

JAKUBICEK, Roman, Jiri CHMELIK, Jiri JAN, Petr OUŘEDNÍČEK, Lukas LAMBERT and Giampaolo GAVELLI. Fully Automatic CAD System for Spine Localisation and Vertebra Segmentation in CT Data. In Lenka Lhotska; Lucie Sukupova; Igor Lacković; Geoffrey S. Ibbott. WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2018, VOL 1. NEW YORK: SPRINGER, 2019, p. 223-226. ISBN 978-981-10-9034-9. Available from: https://dx.doi.org/10.1007/978-981-10-9035-6_40.

@inproceedings{1643619,
   author = {Jakubicek, Roman and Chmelik, Jiri and Jan, Jiri and Ouředníček, Petr and Lambert, Lukas and Gavelli, Giampaolo},
   address = {NEW YORK},
   booktitle = {WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2018, VOL 1},
   doi = {http://dx.doi.org/10.1007/978-981-10-9035-6_40},
   editor = {Lenka Lhotska; Lucie Sukupova; Igor Lacković; Geoffrey S. Ibbott},
   keywords = {Spine detection; Vertebra identification and segmentation; CADx; CT data; Oncological patient},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {NEW YORK},
   isbn = {978-981-10-9034-9},
   pages = {223-226},
   publisher = {SPRINGER},
   title = {Fully Automatic CAD System for Spine Localisation and Vertebra Segmentation in CT Data},
   url = {https://link.springer.com/chapter/10.1007/978-981-10-9035-6_40},
   year = {2019}
}

TY  - JOUR
ID  - 1643619
AU  - Jakubicek, Roman - Chmelik, Jiri - Jan, Jiri - Ouředníček, Petr - Lambert, Lukas - Gavelli, Giampaolo
PY  - 2019
TI  - Fully Automatic CAD System for Spine Localisation and Vertebra Segmentation in CT Data
PB  - SPRINGER
CY  - NEW YORK
SN  - 9789811090349
KW  - Spine detection
KW  - Vertebra identification and segmentation
KW  - CADx
KW  - CT data
KW  - Oncological patient
UR  - https://link.springer.com/chapter/10.1007/978-981-10-9035-6_40
L2  - https://link.springer.com/chapter/10.1007/978-981-10-9035-6_40
N2  - 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.
ER  -

JAKUBICEK, Roman, Jiri CHMELIK, Jiri JAN, Petr OUŘEDNÍČEK, Lukas LAMBERT and Giampaolo GAVELLI. Fully Automatic CAD System for Spine Localisation and Vertebra Segmentation in CT Data. In Lenka Lhotska; Lucie Sukupova; Igor Lackovi\'c; Geoffrey S. Ibbott. \textit{WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2018, VOL 1}. NEW YORK: SPRINGER, 2019, p.~223-226. ISBN~978-981-10-9034-9. Available from: https://dx.doi.org/10.1007/978-981-10-9035-6\_{}40.

Detailed Information on Publication Record