The application of cine MRI to lung disease has been technically challenging. In this study, we exploited optical flow analysis combined with rapid acquisition of cine MRI using compressed sensing to detect differences in regional lung motion. The high spatial and temporal resolution and higher signal-to-noise ratio of cine MRI enabled optical flow analysis to visualize regional differences between five lung segments. It also differentiated between chest and diaphragm breathing patterns in volunteers. In the future, this non-invasive method could be applied to assess and follow lung diseases, such as interstitial pneumonia or chronic obstructive pulmonary disease.