Multi-contrast MR imaging is necessary for clinical diagnosis. Conventional methods require long acquisition time which impede its clinical application. Last year, we proposed a method to acquire 12 high quality contrasts/maps with 0.67×1.33×2.7 mm3 in 8 minutes on 1.5T . In this work, based on deep learning with complete data fidelity, a novel technique called Smart BrainQuant is proposed to further reduce scan time and improve image quality. Feasibility experiments demonstrate that it is achievable to acquire ten 3D contrast/maps with 0.67×0.89×2.7 mm3 in less than 6 minutes on 1.5T with similar image quality to images using the fully acquired data.