Method and System for Left Ventricle Detection in 2D Magnetic Resonance Images Using Ranking Based Multi-Detector Aggregation

The method of 1, further comprising:

• determining predicted apex and base positions in the 2D MRI image based on the selected one of the plurality of LV candidates;
• detecting the apex of the LV around the predicted apex position in the 2D MRI image;
• and
• detecting the base of the LV around the predicted base position in the 2D MRI image.

An apparatus for left ventricle (LV) detection in a 2D magnetic resonance imaging (MRI) image, comprising:

• means for detecting a plurality of LV candidates in the 2D MRI image;
• means for detecting a plurality of apex candidates in the 2D MRI image;
• means for detecting a plurality of base candidates in the 2D MRI image;
• and
• means for selecting one of the plurality LV candidates by ranking the plurality of LV candidates based on geometrical relationships between each detected LV candidate and the other detected LV candidates, between each detected LV candidate and the detected apex candidates, and between each detected LV candidate and the detected base candidates using a trained ranking model.

A computer readable medium encoded with computer executable instructions for left ventricle (LV) detection in a 2D magnetic resonance imaging (MRI) image, the computer executable instructions defining steps comprising:

• detecting a plurality of LV candidates in the 2D MRI image;
• detecting a plurality of apex candidates in the 2D MRI image;
• detecting a plurality of base candidates in the 2D MRI image;
• and
• selecting one of the plurality LV candidates by ranking the plurality of LV candidates based on geometrical relationships between each detected LV candidate and the other detected LV candidates, between each detected LV candidate and the detected apex candidates, and between each detected LV candidate and the detected base candidates using a trained ranking model.