DocumentCode :
1249599
Title :
Epicardial boundary detection using fuzzy reasoning
Author :
Feng, Jie ; Lin, Wei-Chung ; Chen, Chin-Tu
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
Volume :
10
Issue :
2
fYear :
1991
fDate :
6/1/1991 12:00:00 AM
Firstpage :
187
Lastpage :
199
Abstract :
A fully automated system for detecting the endocardial and epicardial boundaries in a two-dimensional echocardiography by using fuzzy reasoning techniques is proposed. The image is first enhanced by applying the Laplacian-of-Gaussian edge detector. Second, the center of the left ventricle is determined automatically by analyzing the original image. Next, a search process radiated from the estimated center is performed to locate the endocardial boundary by using the zero-crossing points. After this step, the estimation of the range of radius of a possible epicardial boundary is carried out by comparing the high-level knowledge of intensity changes along all directions with the actual image intensity changes. The high-level knowledge of global intensity change in the image is acquired from experts in advance, and is represented in the form of fuzzy linguistic descriptions and relations. Knowledge of local intensity change can therefore be deduced from the knowledge of global intensity change through fuzzy reasoning
Keywords :
biomedical ultrasonics; cardiology; computerised picture processing; fuzzy logic; Laplacian-of-Gaussian edge detector; endocardial boundary; fully automated system; fuzzy reasoning; image intensity changes; left ventricle center; medical diagnostic imaging; zero-crossing points; Cost function; Detectors; Echocardiography; Fuzzy reasoning; Heart; Image analysis; Image edge detection; Interpolation; Signal to noise ratio; Spline;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.79477
Filename :
79477
Link To Document :
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