Title :
Segmentation of cardiac cine MR images for extraction of right and left ventricular chambers
Author :
Goshtasby, Ardeshir ; Turner, David A.
Author_Institution :
Dept. of Electr. Eng., Illinois Univ., Chicago, IL, USA
fDate :
3/1/1995 12:00:00 AM
Abstract :
A two-stage algorithm for extraction of the ventricular chambers (endocardial surfaces) in flow-enhanced magnetic resonance images is described. In the first stage, the approximate locations and sizes of the endocardial surfaces are determined by intensity thresholding. In the second stage, points on each approximated surface are repositioned to nearest locally maximum gradient magnitude points and a generalized cylinder is fitted to them. Examples of ventricular chambers in cine MR images determined by this algorithm are presented
Keywords :
biomedical NMR; cardiology; image segmentation; medical image processing; 2-stage algorithm; approximated surface; cardiac cine MR images segmentation; endocardial surfaces; flow-enhanced magnetic resonance images; generalized cylinder; intensity thresholding; left ventricular chambers; medical diagnostic imaging; nearest locally maximum gradient magnitude points; right ventricular chambers; Blood; Design methodology; Expert systems; Heart; Humans; Image segmentation; Magnetic resonance; Magnetic resonance imaging; Myocardium; Radiology;
Journal_Title :
Medical Imaging, IEEE Transactions on
