Authors:
Hounaida Moalla
1
;
2
;
Aiman Ghrab
3
;
Bassem Ben Hamed
4
;
2
;
Amine Bahloul
3
;
Rania Hammami
3
and
Leila Abid
3
Affiliations:
1
Higher Institute of Technological Studies, University of Sfax, Sfax, Tunisia
;
2
Laboratory of Signals, systeMs, aRtificial Intelligence, neTworks (SMA@RT), Sfax Technopole, Sfax, Tunisia
;
3
Hedi Chaker University Hospital of Sfax, University of Sfax, Sfax, Tunisia
;
4
National School of Electronics and Telecommunications of Sfax, University of Sfax, Sfax, Tunisia
Keyword(s):
Coronary Angiograms, Keyframes, Filters.
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%.