Automatic segmentation of the left atrium from MRI images using salient feature and contour evolution.
We propose an automatic approach for segmenting the left atrium from MRI images. In particular, the thoracic aorta is detected and used as a salient feature to find a seed region that lies inside the left atrium. A hybrid energy that combines robust statistics and localized region intensity information is employed to evolve active contours from the seed region to capture the whole left atrium. The experimental results demonstrate the accuracy and robustness of our approach.
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30303, USA. ljzhu@gatech.edu
Liangjia
L
Zhu
Yi
Y
Gao
Anthony
A
Yezzi
Rob
R
MacLeod
Joshua
J
Cates
Allen
A
Tannenbaum
D000465:Algorithms; D006325:Heart Atria; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*