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Research Article Open access CC BY 3.0

Vascular Segmentation of Cerebral AVM

Y. Kiran Kumar, Shashi B. Mehta, Manjunath Ramachandra

Advances in Research · pp. 52–57 · Published 27 Dec 2013

10.9734/AIR/2014/7044

Abstract

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.  

AVM NIDUS 3DRA Segmentation

Cited by 3

Numerical modeling of vessel geometry to measure hemodynamics parameters non-invasively in cerebral arteriovenous malformation

Y. Kiran Kumar, Shashi Bhushan Mehta, Manjunath Ramachandra · Bio-Medical Materials and Engineering · 2016

Comparative Analysis of Adaptive Vessel Segmentation—Cerebral Arteriovenous Malformation

Yadalam Kiran Kumar, Shashi Bhushan Mehta, Manjunath Ramachandra · Journal of Biomedical Science and Engineering · 2015

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