This technology, through chest sagittal MRI sequences, uses U-net deep learning to segment diaphragm plane, analyzing waveform characteristics (cycle, peak amplitude, NCC similarity) to quantitatively assess diaphragm asynchrony and restrictive changes in COPD patients, providing evidence for diagnosis and treatment.

Technology provider:Nanjing University of Posts and Telecommunications