Paper
12 June 2024 Optical edge detection of chest MRA using combined contrast enhancement algorithms
Beatrice Arvinti
Author Affiliations +
Proceedings Volume 13187, Advances in 3OM: Opto-Mechatronics, Opto-Mechanics, and Optical Metrology (3OM 2023); 131870I (2024) https://doi.org/10.1117/12.3021603
Event: Advances in 3OM: Opto-Mechatronics, Opto-Mechanics, and Optical Metrology, 2023, Timisoara, Romania
Abstract
Most animals see little or no color at all. The same fact applies to the Magnetic Resonance technique: the signals are located mostly in shadowy zones interrupted by few light zones. Therefore, the MRAs (Magnetic Resonance Angiograms) are hard to interpret by the physician. MRA offers an image of how the blood spreads through the vessels and organs of the body. Both physician and patient can see where the pathway followed by the blood is blocked. As prevention is better than curing, we focus on finding an algorithm to improve the image contrast and outline the regions of interest. We aim thus to allow an early detection of the illness. For our study, we applied a combined method on biomedical images, to improve their optical contrast: an edge detection algorithm and a strong Matlab contrast-enhancement method named Contrast Limited Adaptive Histogram Equalization. Thus, we should allow the detection of the vascular system or the edges of the organs and improve the chances of an accurate diagnosis. The resulted contrast improvements are visible, unmasking medical features (hidden through the low contrast of the image).
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Beatrice Arvinti "Optical edge detection of chest MRA using combined contrast enhancement algorithms", Proc. SPIE 13187, Advances in 3OM: Opto-Mechatronics, Opto-Mechanics, and Optical Metrology (3OM 2023), 131870I (12 June 2024); https://doi.org/10.1117/12.3021603
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Edge detection

Histograms

Detection and tracking algorithms

Image processing

Magnetism

Chest

Medical imaging

RELATED CONTENT


Back to Top