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Abstract #2600

Accelerated Whole-body Imaging with Uniform Fat-Suppression and Deep-Learning Reconstruction

Alan B McMillan1, Lloyd Estowski2, Ty A Cashen2, R. Marc Lebel3, Xinzeng Wang4, Ersin Bayram4, and Ali Pirasteh1
1Radiology, University of Wisconsin Madison, Madison, WI, United States, 2Global MR Applications & Workflow, GE Healthcare, Waukesha, WI, United States, 3Global MR Applications & Workflow, GE Healthcare, Calgary, AB, Canada, 4Global MR Applications & Workflow, GE Healthcare, Houston, TX, United States

We present a single-shot fast-spin-echo pulse-sequence (SSFSE) with short-tau inversion recovery (STIR) and deep-learning (DL) image reconstruction that provides whole-body images in less than 3 minutes, achieving uniform fat suppression, detailed delineation of the anatomy, and favorable signal-to-noise (SNR). This was achieved through the reduction of echo-train-length by increasing the acceleration to a factor of 4x, hence substantially improving image quality through blurring reduction in the phase encoding direction, and ameliorating the subsequent SNR reductions by utilization of a DL reconstruction algorithm. This whole-body MRI technique can be used in the setting of various pathologies for both pediatrics and adults.

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