title: Automatic segmentation of cardiac magnetic resonance images using knowledge base.
abstract: 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.
authors.affiliation: Department of Biomedical Engineering, First Military Medical University, Guangzhou 510515, China.
authors.forename: Ya-Zhong
authors.initials: YZ
authors.lastname: Lin
authors.forename: Wu-Fan
authors.initials: WF
authors.lastname: Chen
authors.forename: Ming
authors.initials: M
authors.lastname: Chen
authors.forename: Qian-Jin
authors.initials: QJ
authors.lastname: Feng