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Abstract #2977

Smart BrainQuant: Ten high quality 3D clinically meaningful contrasts/maps in 6 min on 1.5T using DNN

Mingliang Chen1, Aiqi Sun1, Wei Xu1, Xingxing Zhang1, Ruibo Song1, Lu Han1, Dong Han1, and Feng Huang1

1Neusoft Medical Systems, Shanghai, China

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 [1]. 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.

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