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Automatic selection of mask and arterial phase images for temporally resolved MR digital subtraction angiography.
Authors:Junhwan Kim  Martin R Prince  Ramin Zabih  Jeff Bezanson  Richard Watts  Hale E Erel  Yi Wang
Affiliation:Department of Computer Science, Cornell University, New York, New York, USA. jkim@cs.cornell.edu
Abstract:
For time-resolved background-subtracted contrast-enhanced magnetic resonance angiography, the bright and sparse arterial signal allows unique identification of contrast bolus arrival in the arteries. This article presents an automatic filtering algorithm using such arterial characterization for selecting arterial phase images and mask images to generate an optimal summary arteriogram. A paired double-blinded comparison demonstrated that this automatic algorithm is as effective as the manual process.
Keywords:contrast‐enhanced MRA  time‐resolved subtraction MRA  image processing  automatic filtering  arteriogram
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