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ULTRASOUND MYOCARDIAL TRACKING WITH SPECKLE REDUCING ANISOTROPIC DIFFUSION ASSISTED INITIALIZATION
 

Summary: ULTRASOUND MYOCARDIAL TRACKING WITH
SPECKLE REDUCING ANISOTROPIC DIFFUSION ASSISTED INITIALIZATION
Alla Aksel, Robert L. Janiczek, John A. Hossack, Brent A. French, Scott T. Acton
{alla, rlj5n, jh7fj, bf4g, acton}@virginia.edu
Charles Brown Department of Electrical and Computer Engineering
Department of Biomedical Engineering
University of Virginia, Charlottesville, VA 22904
ABSTRACT
Cardiac parameters such as end-systolic volume, ejection
fraction and myocardial mass are essential to the
diagnosis and treatment of cardiovascular disease (CVD).
Traditionally, these parameters are calculated based on
manual myocardial segmentation by a trained technician.
Fast, accurate, and automatic segmentation would provide
researchers with an increased subject pool, an enhanced
understanding of CVD, and may lead to the development
of new therapies. In this paper we propose an automated
algorithm for myocardial segmentation. This method
utilizes speckle reducing anisotropic diffusion to assist the
automated contour initialization. Speckle tracking

  

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

 

Collections: Computer Technologies and Information Sciences