We demonstrate a deep learning-based MRI scan workflow for intelligent slice placement (ISP) for multiple brain landmarks (MSP, AC-PC, entire visual pathway, pituitary, IAC, hippocampus, TOF-Angiography) based on standard 2D tri-planar localizer images. Unlike prior approaches to automatic plane prescription, this method uses deep learning to determine all necessary planes without the need for explicit delineation of landmark structures and provides visual feedback to the user. For all the landmarks, we demonstrate that the proposed method can achieve landmark slice placement with mean distance error < 1 mm (N = 505) on localizer images itself and is comparable or better to slice placement obtained using higher resolution images. Results indicate excellent feasibility of the method for clinical usage.
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