Title :
An improved level set method of ultrasound imaging to detect blood vessel walls
Author :
Wang, Yousheng ; Shu, Yu ; Hu, Baile ; Chen, Jianxin
Author_Institution :
Coll. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing
Abstract :
This paper presents a new method for detecting the edge of intravascular ultrasound images, based on geometric active contours. The medical image segmentation method is based on the combination of traditional level set method and B-spline models. The new method only needs a few control points to achieve the effect of smoothing curves with drastic changes. Compared with the traditional level set function, this method has many advantages, such as no re-initializing to signed distance function, a higher curve smoothness and simple evolution and so on. Experimental results show that the algorithm can obtain segmentation results of medical image fast and accurately, and the method is reproducible and robust in image processing.
Keywords :
biomedical ultrasonics; blood vessels; cardiovascular system; computational geometry; curve fitting; diseases; edge detection; image segmentation; medical image processing; splines (mathematics); B-spline model; blood vessel wall detection; coronary heart disease; curve smoothing; edge detection; geometric active contour; image processing; intravascular ultrasound imaging; level set method; medical image segmentation; signed distance function; Active contours; Biomedical imaging; Blood vessels; Image edge detection; Image segmentation; Level set; Robustness; Smoothing methods; Spline; Ultrasonic imaging; B-Spline; edge detection; intravascular ultrasound; level set; medical image;
Conference_Titel :
Image Analysis and Signal Processing, 2009. IASP 2009. International Conference on
Conference_Location :
Taizhou
Print_ISBN :
978-1-4244-3987-4
DOI :
10.1109/IASP.2009.5054603