Detection of Carotid Artery from Pre-Processed Magnetic Resonance Angiogram

Abstract—Boundary detection is playing an important role in the medical image analysis. In certain cases it becomes very difficult for the doctors to assess the carotid arteries from the magnetic resonance angiography (MRA) of the neck. In this paper an attempt has been made to detect carotid arteries from the neck magnetic resonance angiograms, so as to overcome such difficulties. The algorithm pre-processes the magnetic resonance angiograms and subsequently detects the carotid artery. Stenosis is expected to reduce the diameter of the vessel. The diameter can be measured from the vasculature detected image. As the algorithm successfully detects the carotid artery from the neck magnetic resonance angiograms, therefore it will help doctors for diagnosis and serve as a step in the prevention of cardiovascular diseases. Index Terms—magnetic resonance angiogram, pre-processing, carotid artery detection, cardiovascular diseases, medical image analysis