Automatic segmentation of cardiac magnetic resonance images using knowledge base.
OBJECTIVE: To study the automated implementation of cardiac magnetic resonance image (MRI) segmentation. METHODS: By training the feature parameters of the images and establishing a knowledge base, an efficient method for extracting and using prior knowledge was proposed. RESULTS and CONCLUSION: Through extracting and using prior knowledge of cardiac MRI, automation of cardiac MRI segmentation can be well accomplished.
Lin
Ya-Zhong
YZ
Department of Biomedical Engineering, First Military Medical University, Guangzhou 510515, China.
Chen
Wu-Fan
WF
Chen
Ming
M
Feng
Qian-Jin
QJ