Abstract #4695

Highly Accelerated Volumetric Brain Imaging with META and Deep Learning Reconstruction

Naoyuki Takei¹, R Marc Lebel², Suryanarayanan Kaushik³, Shohei Fujita^4,5, Issei Fukunaga⁴, Shigeki Aoki⁴, Suchandrima Banerjee⁶, and Tetsuya Wakayama¹

¹GE Healthcare, Tokyo, Japan, ²GE Healthcare, Calagary, AB, Canada, ³GE Healthcare, Waukesha, WI, United States, ⁴Radiology, Juntendo University School of Medicine, Tokyo, Japan, ⁵Radiology, The University of Tokyo Graduate School of Medicine, Tokyo, Japan, ⁶GE Healthcare, Menlo Park, CA, United States

Synopsis

We combine advanced acquisition and reconstruction techniques for highly accelerated 3D brain imaging. A hybrid acquisition called META (Mixed Echo Train Acquisition) generates 3D T1W, T2W and FLAIR contrasts simultaneously and with high SNR efficiency. A 3D deep learning reconstruction (AIR Recon DL) reduces image noise, reduces artifacts, and enhances resolution relative to conventional reconstructions, solving the trade-off between SNR, scan time, and resolution. META with the DL Recon achieved 1mm isotropic T1W, T2W and FLAIR images within 4 minutes. These combinations are well suited in high resolution volumetric brain imaging.

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