University of Minnesota
University Relations

Minnesota Supercomputing Institute

Log out of MyMSI

Research Abstracts Online
January 2009 - March 2010

Main TOC ....... College TOC

Augsburg College
Mathematics Department

PI: Sridevi Pudipeddi

Using Numerical Methods for Recovering a Contrast-filled Blood Vessel in Digital Subtraction Angiography

Digital Subtraction Angiography (DSA) is an x-ray imaging modality for visualizing blood vessels. The DSA image is obtained by the logarithmic subtraction of an x-ray image with and without contrast agent in the blood vessel, called contrast image and mask image respectively. The aim of this work is to estimate the mask image from the given contrast image. Since the mask image will be estimated using the contrast image, the patient in a clinical setup will receive fewer x-ray doses for the same DSA protocol.

The contrast image and the mask image are related by the equation C = [alpha]B + M, where C, B and M are the contrast, blood vessel, and mask image, respectively, and [alpha] is the binary matrix that determines the boundary of the blood vessel in the contrast image. This researcher is working on different methods to estimate the mask image from the contrast image. This method can also be extended to remove other high-contrast objects in x-ray imaging and computed tomography.