While interstitial lung diseases (ILD) have traditionally been assessed qualitatively by radiologists, quantitative methods have recently been developed for assessment of ILD. These methods include simple densitometry as well as texture analysis and more recently developed deep learning algorithms. Quantitative assessment of ILD is still in its infancy, but certain techniques, particularly the texture analysis algorithm CALIPER, have shown good correlation with pulmonary function testing and prognosis. While data is still limited on the use of deep learning to assess ILD, these techniques hold great promise for surpassing existing algorithms. Quantitative techniques are likely to become commonplace for assessment of ILD, particularly as an adjunct to radiologist assessment in the future.