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Computed tomography angiography (CTA) hasturned non-invasive diagnosis of cardiovascular anomalies intoa reality as state-of-the-art imaging equipment is capable ofrecording sub-millimeter details. Based on high intensity, thecalcified plaques are easily identified in cardiac CTA; however,low density based non-calcified plaque detection has been achallenging problem in recent years. We propose an efficientmethod in this work for automated detection of the non-calcifiedplaques using discrete radial profiles. The plaque detectionis accomplished using support vector machine to differentiateabnormal coronary segments. We investigated a total of 32 CTAvolumes and the detection mean accuracy of 84.6% was achieved,which is in-line with the reported literature.

Detection of Soft Atheroscelarotic Plaques in Cardiac Computed Tomography Angiography