Title :
Robust segmentation of myocardial tissue in ultrasound images
Author :
Adam, Dan R. ; Krips, Ram
Author_Institution :
Dept. of Biomed. Eng., Technion-Israel Inst. of Technol., Haifa, Israel
Abstract :
In many ultrasound examinations, an important task is to distinguish between areas of different characteristics, e.g. myocardial tissue and blood. While many studies have reported on exact border determination-which usually requires operator´s intervention, this article reports on a reliable, automatic method for differentiation between blood and tissue in ultrasound images
Keywords :
biomedical ultrasonics; cardiology; discrete wavelet transforms; edge detection; image segmentation; medical image processing; muscle; blood-tissue differentiation; discrete wavelet transform; edge integration; myocardial tissue; reliable automatic method; robust segmentation; ultrasound images; Blood; Flowcharts; Heart; Image segmentation; Myocardium; Robustness; System testing; Ultrasonic imaging; Ultrasonic variables measurement;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.802232
