Detail publikace

Learning–based vertebra localization and labeling in 3D CT data of possibly incomplete and pathological spines

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

Originální název

Learning–based vertebra localization and labeling in 3D CT data of possibly incomplete and pathological spines

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

Background and objective: We present a fully automatic system based on learning approaches, which aims to localization and identification (labeling) of vertebrae in 3D computed tomography (CT) scans of possibly incomplete spines in patients with bone metastases and vertebral compressions. Methods: The framework combines a set of 3D algorithms for i) spine detection using a convolution neural network (CNN) ii) spinal cord tracking based on combination of a CNN and a novel growing sphere method with a population optimization, iii) intervertebral discs localization using a novel approach of spatially variant filtering of intensity profiles and iv) vertebra labeling using a CNN-based classification combined with global dynamic optimization. Results: The proposed algorithm has been validated in testing databases, including also a publicly available dataset. The mean error of intervertebral discs localization is 4.4 mm, and for vertebra labeling, the average rate of correctly identified vertebrae is 87.1%, which can be considered a good result with respect to the large share of highly distorted spines and incomplete spine scans. Conclusions: The proposed framework, which combines several advanced methods including also three CNNs, works fully automatically even with incomplete spine scans and with distorted pathological cases. The achieved results allow including the presented algorithms as the first phase to the fully automated computer-aided diagnosis (CAD) system for automatic spine-bone lesion analysis in oncological patients. (C) 2019 Elsevier B.V. All rights reserved.

Klíčová slova

Vertebra detection; Learning-based approach; Convolution neural network; Pathological vertebrae

Autoři

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

Vydáno

1. 1. 2020

Nakladatel

Elsevier B.V.

Místo

Amsterdam, The Netherlands

ISSN

0169-2607

Periodikum

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Ročník

183

Číslo

105081

Stát

Nizozemsko

Strany od

1

Strany do

9

Strany počet

9

URL

https://doi.org/10.1016/j.cmpb.2019.105081

BibTex

@article{BUT159177,
  author="JAKUBÍČEK, R. and CHMELÍK, J. and JAN, J. and OUŘEDNÍČEK, P. and LAMBERT, L. and GAVELLI, G.",
  title="Learning–based vertebra localization and labeling in 3D CT data of possibly incomplete and pathological spines",
  journal="COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE",
  year="2020",
  volume="183",
  number="105081",
  pages="1--9",
  doi="10.1016/j.cmpb.2019.105081",
  issn="0169-2607",
  url="https://doi.org/10.1016/j.cmpb.2019.105081"
}