Deep learning-based reconstruction and conventional T2 map in quantitative detection of lumbar intervertebral disk degeneration

Motivation: It is essential to identify early biochemical markers that are conducive to the precaution of degenerative disk disease at its early phase. Goal(s): To compare the diagnostic value of DLR-T2 map and traditional T2 map quantitative techniques for early lumbar disc degeneration. Approach: Overall image quality (SNR and CNR) was performed. ROC analysis for evaluating the diagnostic efficacy of T2 values for early disc degeneration. Results: The DLR-T2 map had higher overall image quality scores. DLR-T2 map discriminated Pfirrmann grade I from grade II, and grade II from grade III had a higher diagnostic performance of diagnostic efficacy than T2 map. Impact: DLR-T2 might provide superior information on the biomechanical properties of early IDD, which would be helpful in prognoses and in improving therapy strategies.