1. Heuristic detection of blockage in coronary arteries from cardiac magnetic resonance imaging images and predicting heart failure risk using digital image processing
Authors : Somsubhra Gupta, Abhishek Halder, Dev Gobind Ganguly
Pages : 6-14
DOI : http://dx.doi.org/10.21172/1.84.02
Keywords : Cardiac blockage, Cardiovascular, Coronary artery, CMRI, Digital Image Processing, Edge Detection, Heart failure. Abstract :Cardiac diseases are the leading cause of death of human being in present era. Cardiovascular diseases include illnesses that involve the blood vessels (veins, arteries and capillaries) or the heart, or both. Diagnosis and follow up of these pathologies can rely on numerous cardiac imaging modalities which include echocardiography, CT(Computed Tomography), coronary angiography and Cardiac MRI(Magnetic Resonance Imaging).Imaging of these organs help in tracking the diagnosis and treatment of diseases. Among the existing medical imaging modalities, cardiac magnetic resonance imaging (CMRI) has attracted significant interest in the research and clinical communities. It is a noninvasive technique that is capable of acquiring most of the cardiac physiological measures: cardiac structure, function, perfusion and myocardial viability. It can provide clearer and more diagnostically useful images of the heart and blood vessels than other modalities which help physicians evaluate both the structure and functioning of the organ. It enables the discovery of abnormalities that might be obscured with other imaging methods. CMRI can produce images of cardiovascular structures without interference from adjacent bone or air. The segmentation of CMRI images can be performed manually by experts, but it is a time consuming process, and prone to error. The manually performed segmentation is also subjective in nature. Hence, efforts have been made to make this segmentation procedure completely automatic. There are automated/semi-automated segmentation methods available for detection of heart blockage but the quest is to look for a more better blockage detection approach. Therefore, there is a need of robust and heuristic algorithms which requires minimum or no user interaction and provides the accurate segmentation. Furthermore, the accurate segmentation can provide much useful information which can be helpful for determining the cardiac health for diagnosis and treatment.
Citing this Journal Article :Somsubhra Gupta, Abhishek Halder, Dev Gobind Ganguly, "Heuristic detection of blockage in coronary arteries from cardiac magnetic resonance imaging images and predicting heart failure risk using digital image processing", Volume 8 Issue 4 - July 2017, 6-14
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