CONTOUR EXTRACTION FROM CARDIAC MRI STUDIES USING SNAKES

被引:84
作者
RANGANATH, S
机构
[1] Department of Electrical Engineering, National University of Singapore
关键词
D O I
10.1109/42.387714
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We investigated automatic extraction of left ventricular contours from cardiac Magnetic Resonance Imaging (MRI) studies. The contour extraction algorithms were based on active contour models, or snakes, Based on cardiac MR image characteristics, we suggested algorithms for extracting contours from these large data sets, We specifically considered contour propagation methods to make the contours reliable enough despite noise, artifacts, and poor temporal resolution, The emphasis was on reliable contour extraction with a minimum of user interaction, Both Spin echo and Gradient echo studies were considered. The extracted contours were used for determining quantitative measures for the heart and could also be used for obtaining graphically rendered cardiac surfaces.
引用
收藏
页码:328 / 338
页数:11
相关论文
共 20 条
  • [1] Klinger J.W., Et al., Segmentation of echocardiographic images using mathematical morphology, IEEE Trans. Biomed. Eng., 35, 11, pp. 925-934, (1988)
  • [2] Chu C.H., Et al., Detecting left ventricular endocardial and epicardial boundaries by digital two dimensional echocardiography, IEEE Trans. Med. Imag., 7, 2, pp. 81-90, (1988)
  • [3] Friedland N., Adam D., Automatic ventricular cavity boundary detection from sequential ultrasound imaging using simulated annealing, IEEE Trans. Med. Imag., 8, 4, pp. 344-353, (1989)
  • [4] Lilly P., Et al., Automatic contour definition of left ventriculograms by image evidence and multiple template based models, IEEE Trans. Med. Imag., 8, 2, pp. 173-185, (1989)
  • [5] Kehtarnavaz A., Et al., A novel surface reconstruction and display method for cardiac PET imaging, IEEE Trans. Med. Imag., MI-3, pp. 108-115, (1984)
  • [6] Fleagle S.R., Et al., Automated identification of left ventricular borders from spin echo magnetic resonance images, Investigative Radiol., 26, 4, pp. 295-303, (1991)
  • [7] Suh D.Y., Et al., Automatic boundary detection on cardiac magnetic magnetic resonance image sequences for four dimensional visualization of the left ventricle, pp. 149-156, (1990)
  • [8] Staib L.H., Duncan J.S., Boundary finding with parametrically deformable models, IEEE Trans. Pattern Anal. Machine Intell., 14, 11, pp. 1061-1075, (1992)
  • [9] Nastar C., Ayache N., Fast segmentation, tracking, and analysis of deformable objects, pp. 275-279, (1993)
  • [10] Kass M., Et al., Snakes: Active contour models, Int. J. Comput. Vision, pp. 321-331, (1988)