Automatic Coronary Angiogram Keyframe Extraction

Hounaida Moalla, Hounaida Moalla, Aiman Ghrab, Bassem Ben Hamed, Bassem Ben Hamed, Amine Bahloul, Rania Hammami, Leila Abid

2023

Abstract

Coronary artery disease is one of the most feared atherosclerosis complications. Doctors use coronary angiography as a diagnostic tool to diagnose a patient with obstructive coronary artery disease and treat it efficiently. The effectiveness of the doctor’s intervention strongly depends on the quality of the diagnosis. Therefore, good extraction of keyframes from coronary angiography will certainly improve the accuracy of the decision. Hence the importance is given to this step. To determine the best way to extract keyframes from coronary angiograms, we tested several methods for keyframe extraction. Our keyframe extraction method that we propose is based on the use of filters and the calculation of frame intensities of a given coronary angiogram. The pilot frame is the brightest one, and the keyframes will be its six neighboring frames. Our method Contrast Enhanced Sato filter, succeeded in extracting the right keyframes with an accuracy of around 85.74%.

Paper Citation

in Harvard Style

Moalla H., Ghrab A., Ben Hamed B., Bahloul A., Hammami R. and Abid L. (2023). Automatic Coronary Angiogram Keyframe Extraction. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-626-2, pages 582-589. DOI: 10.5220/0011850700003411

in Bibtex Style

@conference{icpram23,
author={Hounaida Moalla and Aiman Ghrab and Bassem Ben Hamed and Amine Bahloul and Rania Hammami and Leila Abid},
title={Automatic Coronary Angiogram Keyframe Extraction},
booktitle={Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2023},
pages={582-589},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011850700003411},
isbn={978-989-758-626-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Automatic Coronary Angiogram Keyframe Extraction
SN - 978-989-758-626-2
AU - Moalla H.
AU - Ghrab A.
AU - Ben Hamed B.
AU - Bahloul A.
AU - Hammami R.
AU - Abid L.
PY - 2023
SP - 582
EP - 589
DO - 10.5220/0011850700003411