Accurate tracking of plaque composition would be very useful clinically to determine the status of atherosclerosis and to understand the potential risk under myocardial infraction, stroke, and peripheral vascular disease. We developed a semi-automatic software to evaluate the carotid plaque types using four contrast-weighted MRI (pre- and post-contrast T1-weighted, time-of-flight, T2-weighted). Working with the proposed software with the minimal operator input reduces the process time of plaque component identification and minimizes the possibility of random and systematic errors. As a result, proposed software is capable of assisting the radiologist/clinician in imaging interpretation and decision-making in managing carotid artery atherosclerosis.
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