Objective To explore the clinical application value of multi-sequence MRI scanning in the diagnosis of lumbar compressive fracture. Methods A total of 51 patients with lumbar compressive fracture admitted to our hospital from February 2018 to August 2018 were selected. All the patients underwent MRI examination and were scanned with conventional rapid spin echo sequence, rapid spin echo sequence and fat inhibition sequence. Clinical data and imaging data of the patients were collected, and the images of 51 patients with lumbar compressibility fracture were analyzed and summarized by two physicians, and the clinical application value of multiple MRI scans in lumbar compressibility fracture were analyzed. Results A total of 66 vertebral bodies were found to be depressed or flattened in the 51 patients. The compression degree of vertebral bodies was: 36 vertebral bodies were compressed less than 1/3, 21 vertebral bodies were compressed from 1/3 to 1/2, and 9 vertebral bodies were compressed more than 1/2. 66 vertebral rear bone cortex in MRI image mainly for bone cortex on the trailing edge, the Angle become warped, after trailing the cortex are Angle change, the compression vertebral body for the uneven long T1 signal, vertebral body signal characteristics: low signal in T1WI scanning sequence, middle or slightly high signal on T2WI imaging, fat suppression STIR sequence demonstrated irregular high signal, the majority of patients with vertebral body pedicle also show high signal, at the same time with abnormal bone fragments and the intervertebral disc, 16 vertebral there near soft tissue swelling, hematoma signal change. In comparison with the results of surgery, the diagnostic accuracy of multiple MRI scans was 100% (51/51) for 51 patients with lumbar compressive fracture. Conclusion Multi-sequence MRI scanning has high accuracy in diagnosing lumbar compressibility fracture, which can effectively show different characteristic features of lumbar compressibility fracture and provide relevant reliable image data for clinic.