Blockage detection in Angiography images
Mr. Pavan D. Patil, Prof. Girish A. Kulkarni · IOSR Journal of Electronics and Communication Engineering · 2014
Accurate visualization and quantification of the images is an important prerequisite for a number of applications.In clinical procedure grading of stenoses is important in the diagnosis of the severity of vascular disease since it determines the treatment therapy.Interventional procedures such as the placement of prosthesis in order to prevent aneurysm rupture or a bypass operation require an accurate insight into the three dimensional vessel architectures.Both two-dimensional projection techniques, such as DSA, and threedimensional modalities as X-ray rotational angiography, CTA and MRA are employed in clinical practice.Although CTA and MRA provide volumetric data, the common way of interpreting these images is by using 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.When the angiography images are of such high intensity projection then it is very difficult for the doctors to observe blockage in vessels.Due to such high intensity images the blockage in small vessels can't be identified by doctors.So this variation in the intensity of an angiography images is analyzed by using Hessian matrix.The Eigen values of hessian matrix are used for analysis of images which are having high intensity variation.