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Automated Affine Registration of First-Pass Magnetic Resonance Images
 

Summary: Automated Affine Registration of
First-Pass Magnetic Resonance Images
Robert L. Janiczek, Andrew D. Gilliam, Pat Antkowiak, Scott T. Acton, Frederick H. Epstein
{rlj5n, adg2x, pfa7p, acton, fhe6b}@virginia.edu
Charles Brown Department of Electrical and Computer Engineering
University of Virginia, Charlottesville, VA 22904
Abstract Quantitative first-pass magnetic resonance
(MR) imaging studies assist in characterizing the severity of
ischemic heart disease. Cardiac motion due to a patient's
difficulty in maintaining the required breath hold is often
severe, making registration necessary. In this paper we present
a novel automatic affine registration algorithm. The algorithm
utilizes an affine active contour to determine affine registration
errors in first-pass MR studies. We compare our results to the
original unregistered studies and a normalized cross-
correlation registration method.
I. INTRODUCTION
Quantitative first-pass magnetic resonance (MR)
imaging studies assist in characterizing the severity of
ischemic heart disease. In first-pass MR perfusion imaging,

  

Source: Acton, Scott - Department of Electrical and Computer Engineering, University of Virginia

 

Collections: Computer Technologies and Information Sciences