Cardio Advance: AI-Powered Innovations for Angiogram Blockage Detection System

Kavin Kumar D., Poovarasu K., Rajasekar J., Santhosh Kumar K.

2025

Abstract

Angiogram images serve a crucial role in the diagnosis of vascular diseases through blood x-ray and identifying potential clogs. This project will provide a Computer Vision based automatic blockage detection in Angiogram images using OpenCV and NumPy. Different picture preparing methods are incorporated with the proposed technique, for example, grayscale transformation, brightness normalization, commotion lessening (middle sifting), versatile thresholding, and morphological changes. The centre area instrument is utilized in form extraction and Euclidean separate investigation, which discovers blood vessel shapes, detects potential blockage areas by the vicinity. Which enhance brightness and variation to improve visibility, uses adaptive thresholding to segment blood vessels and smooth the detected structures using dilation and morphological operations. A final contour-based investigation determines possible occlusions Similarly, the past uses the Euclidean distance among vascular edges. If the separate between the two forms is underneath 10 pixels, the framework will examine it as a potential blockage and feature it in the angiogram picture. Yield gives an illustrated result with stamped intersections and argumentative message showing the only distance or absence of snare. This robotized methodology provides a non-invasive, quick, and accurate strategy for locating the blockage from an angiogram and helps therapeutic experts with an early determination and treatment arranging.

Paper Citation

in Harvard Style

D. K., K. P., J. R. and K. S. (2025). Cardio Advance: AI-Powered Innovations for Angiogram Blockage Detection System. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 546-552. DOI: 10.5220/0013932700004919

in Bibtex Style

@conference{icrdicct`2525,
author={Kavin D. and Poovarasu K. and Rajasekar J. and Santhosh K.},
title={Cardio Advance: AI-Powered Innovations for Angiogram Blockage Detection System},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={546-552},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013932700004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Cardio Advance: AI-Powered Innovations for Angiogram Blockage Detection System
SN - 978-989-758-777-1
AU - D. K.
AU - K. P.
AU - J. R.
AU - K. S.
PY - 2025
SP - 546
EP - 552
DO - 10.5220/0013932700004919
PB - SciTePress