DocumentCode :
3173745
Title :
Contour detection of short axis slice MR images for contraction irregularity assessment
Author :
Muller, A. ; Neitmann, A. ; Merkle, N. ; Wohrle, J. ; Hombach, V. ; Kestler, Ha
Author_Institution :
Internal Medicine I, Univ. Hosp. Ulm
fYear :
2005
fDate :
25-28 Sept. 2005
Firstpage :
21
Lastpage :
24
Abstract :
A new method for automatically detecting left ventricular endocardial borders in cardiac MRI short-axis slices was applied to a previously published patient group for which manually drawn contours already existed. An initial point lying in the left ventricular endocardium was found by a size invariant circular Hough transform. A coarse segmentation of the endocardial region was completed by merging surrounding regions and building the convex hull. Adjacent time frames were used to remove jitter from the contour movements. A feature (IRM), extracted from those contours, quantified the irregularities of left ventricular contractions. Patients with dilated cardiomyopathy were separated from the control group by thresholding the IRM parameter
Keywords :
Hough transforms; biomedical MRI; cardiology; diseases; edge detection; feature extraction; image segmentation; medical image processing; cardiac MRI short-axis slices; coarse endocardial segmentation; contour detection; contour movement; contraction irregularity assessment; dilated cardiomyopathy; feature extraction; irregularities quantification; jitter removal; left ventricular contraction; left ventricular endocardial border detection; size invariant circular Hough transform; Biomedical imaging; Cardiology; Feature extraction; Heart; Hospitals; Jitter; Magnetic resonance imaging; Merging; Pacemakers; Phase measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology, 2005
Conference_Location :
Lyon
Print_ISBN :
0-7803-9337-6
Type :
conf
DOI :
10.1109/CIC.2005.1588023
Filename :
1588023
Link To Document :
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