Blockage Analysis and Detection in CT Angiography using Image Processing

It is Important to visualization angiography and quantification of an angiography image Grading of stenoises is important in diagnosis of vascular diseases since it determine the treatement theorapy. Bypass operation and interventional procedures such as the placement of prosthesis in order to prevent aneurysm rupture require an accurate insight into the vessel architectures different techniques such as CTA, MRA ,are employed for this purpose.CTA and MRA provide volumetric dada but images are noisy and having a maximum intensity projection. The main drawbacks of maximum intensity projections are the overlap of non – vascular structures and the fact that small vessels with low contrast are hardly visible. The second order derivatives are implemented to detect or extract the vessels structure in an image. Morphology is used to extract features based on shape and blockage is analyzed from the output images.