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Research in Medical & Engineering Sciences

Heart Disease Diagnosis Using Image Processing By Cuckoo Algorithm before Surgery

  • Open or Close Pouya Derakhshan-Barjoei1*, Mojdeh Bahadorzadeh2 and Elham Foroozandeh3

    1Department of Telecommunication Engineering, Islamic Azad University, Iran

    2Department of General Surgery, Qom University of Medical Sciences, Iran

    3Department of Psychology, Islamic Azad University, Iran

    *Corresponding author: Pouya Derakhshan-Barjoei, Department of Telecommunication Engineering, Naein Branch, Islamic Azad University, Naein, Iran

Submission: December 11, 2017; Published: February 13, 2018

DOI: 10.31031/RMES.2018.03.000568

ISSN : 2576-8816
Volume3 Issue4


The study of heart disease is important because of urgency of diagnosis. In the meantime, the discussion of image processing and diagnosis is important in medical angiography images, a quick diagnosis before surgery. All of these are for preventing delayin surgery. Therefore, in this study, diagnostic methods using cuckoo algorithm and medical engineering optimization methods is proposed. we presented an optimal bio inspired diagnostic model. The Coronary angiography using dedicated X-ray imaging systems has long been the preferred modality for diagnosis and treatment of Coronary Artery Disease (CAD) and its concomitants. Experimental results on several test images of patients with various techniques are presented. The results of our fast bio inspired diagnostic model performed well. Using bio-inspired algorithm as cuckoo optimization in order to edge detection including noise reduction has been done. the angiogram interpretation has been discussed with medical consultant.

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