DocumentCode
454977
Title
Markovian Level Set: A New Method FOr Boundary Detection From Echocardiographic Images
Author
Cheng, Jierong ; Foo, Say Wei
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ.
Volume
2
fYear
2006
fDate
14-19 May 2006
Abstract
Computer-based boundary detection in echocardiographic images is a challenging problem, due to the large amount of noise and the poor contrast presented. In this paper, a Markovian level set method is proposed for boundary detection in long-axis echocardiographic images. It combines MRP model which makes use of local statistics with level set method which handles topological changes, to ensure that the resulting boundary is continuous and smooth. Experimental results show that high accuracy is achieved with the proposed method
Keywords
Markov processes; echocardiography; medical image processing; object detection; set theory; Markovian level set; computer-based boundary detection; echocardiographic images; local statistics; Cardiac disease; Clinical diagnosis; Echocardiography; Image edge detection; Image segmentation; Level set; Random variables; Statistics; Two dimensional displays; Ultrasonic imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location
Toulouse
ISSN
1520-6149
Print_ISBN
1-4244-0469-X
Type
conf
DOI
10.1109/ICASSP.2006.1660547
Filename
1660547
Link To Document