Cardiac cine imaging has become the standard for cardiac functional measurements. However, a series of breath-holds are required to acquire 2D cine images covering the whole heart. The capability of children or sick patients to perform consistent breath-holds is limited and often results in non-diagnostic images. We aim to develop a fast and reliable 3D imaging technique for cardiac functional assessment, which only requires one minute of scan time during free breathing. To compensate for respiratory motion, which varies substantially among subjects, we propose to apply adaptive respiratory self-gating efficiencies to generate reliable image quality for 3D cardiac cine imaging.