Vascular Segmentation of Cerebral AVM

Aim: A Cerebral Arteriovenous Malformation is an abnormal connection between arteries and veins, where arteries shunt directly into veins with no intervening capillary bed which causes high pressure and hemorrhage risk. The success of treatment by embolization in interventional Neuroradiolgy is highly dependent on the accuracy of the vessels

Visualization.

Place and Duration of Study: Philips electronics India Ltd.

Methodology: Wavelet based segmentation

Design: In this paper, we have done segmentation of feeding arteries and NIDUS using 3DRA for cerebral patients, using various preprocessing steps of image and used wavelet for reconstruction and segmentation of the image.

Conclusion: The doctors can analyze and decide the mode of clinical diagnosis/ treatment based on our segmentation results.