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Authors: B. Buket Ogul 1 ; Emre Sümer 2 and Hasan Ogul 2

Affiliations: 1 Akgun Software Company, Turkey ; 2 Baskent University, Turkey

Keyword(s): Computer Aided Diagnosis, X-ray Imaging, Medical Image Analysis.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors ; Medical Image Applications ; Segmentation and Grouping

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 several formats:
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 (VISIGRAPP 2015) - Volume 2: VISAPP; ISBN 978-989-758-089-5; ISSN 2184-4321, SciTePress, pages 260-265. DOI: 10.5220/0005361602600265

@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 (VISIGRAPP 2015) - Volume 2: VISAPP},
year={2015},
pages={260-265},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005361602600265},
isbn={978-989-758-089-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 2: VISAPP
TI - Unsupervised Rib Delineation in Chest Radiographs by an Integrative Approach
SN - 978-989-758-089-5
IS - 2184-4321
AU - Ogul, B.
AU - Sümer, E.
AU - Ogul, H.
PY - 2015
SP - 260
EP - 265
DO - 10.5220/0005361602600265
PB - SciTePress

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