The glomerular filtration rate (GFR) is important in the evaluation of renal clinical indicators, and it is the basis for the definition and staging of chronic kidney disease. In clinical practice, GFR assessment is mainly based on empirical conversion of the serum creatinine value and urea nitrogen, but the sensitivity is low, which is insufficient to diagnose subclinical and critical stage renal failure, cannot evaluate single renal functions. Therefore, there is an urgent need for a non-invasive examination method that quickly and accurately assesses GFR and provides detailed kidney anatomy to avoid a missed diagnosis of early kidney injury. Recent studies have shown that quantitative single-photon emission computed tomography / computed tomography combined with a deep learning automatic segmentation technique, magnetic resonance urography, one-stop computational tomography urography has a great potential for rapid, and comprehensive evaluation of GFR, which may become the main imaging method for clinical GFR evaluation in the future. This article reviews the traditional GFR evaluation method and summarizes the improvement of GFR evaluation in recent years as well as the advantages and disadvantages of new technology analysis.