The invention provides a right 
ventricle multi-map partitioning method based on a 
cardiac magnetic resonance movie minor-axis image. A 
magnetic resonance imaging system is used for collecting a certain number of heart original magnetic 
resonance images of a tested person, and a 
region of interest is extracted. A fixed number of map images of right 
ventricle are selected from the original magneticresonance images to be added into a map set, and an expert manual partitioning result is obtained by an expert manually partitioning the map image. The map images and target images obtain a right 
ventricle coarse partitioning result by adopting B sample conversion based on 
normalized mutual information, COLLATE fusion is adopted for the coarse partitioning result, firstly 
log likelihood estimationis carried out on 
complete data, and then iterative solution is carried out by using a maximum expectation 
algorithm until convergence, so that the right ventricle final partitioning result is obtained through amending treatment. The method has higher robustness, the 
accuracy and precision of fusion can be improved, and the method is used for accurately partitioning the 
heart right ventricle minor-axis image.