Unsupervised Rib Delineation in Chest Radiographs by an Integrative Approach
B. Buket Ogul, Emre Sümer, Hasan Ogul
2015
Abstract
We address the problem of segmenting ribs in a chest radiography image as an intermediate step for eliminating rib shadows for an effective Computer-Aided Diagnosis System (CAD). To this end, we introduce a complete framework that takes an unprocessed x-ray image and reports the entire rib regions. The system offers a novel strategy to fit a parabola curve to all rib seeds obtained through a log Gabor filtering approach and extend the center curve by a problem-specific region growing technique to delineate the entire rib, which does not necessarily follow a general parabolic model of rib cage. The visual examinations of predicted rib delineations in a common dataset have demonstrated that the system can achieve a reasonably good performance to be used in practice.
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Paper Citation
in Harvard Style
Ogul B., Sümer E. and Ogul H. (2015). Unsupervised Rib Delineation in Chest Radiographs by an Integrative Approach . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-089-5, pages 260-265. DOI: 10.5220/0005361602600265
in Bibtex Style
@conference{visapp15,
author={B. Buket Ogul and Emre Sümer and Hasan Ogul},
title={Unsupervised Rib Delineation in Chest Radiographs by an Integrative Approach},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={260-265},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005361602600265},
isbn={978-989-758-089-5},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)
TI - Unsupervised Rib Delineation in Chest Radiographs by an Integrative Approach
SN - 978-989-758-089-5
AU - Ogul B.
AU - Sümer E.
AU - Ogul H.
PY - 2015
SP - 260
EP - 265
DO - 10.5220/0005361602600265