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Abstract #2681

Deep learning enhanced DWI MUSE at 0.5T

Rajagopalan Sundaresan1, Ashok Kumar Reddy1, Nitin Jain1, Harsh Agarwal1, Sajith Rajamani1, and Ramesh Venkatesan1
1GE HealthCare, Bengaluru, India

Synopsis

Keywords: Low-Field MRI, Diffusion/other diffusion imaging techniques

Motivation: Single-shot diffusion weighted imaging at 0.5T has low SNR, increased blurring and is limited by spatial resolution.

Goal(s): We want to demonstrate image quality improvement in multi-shot DWI at 0.5T with MUSE DL reconstruction.

Approach: Multi-shot DWI is reconstructed using MUSE algorithm followed by ARDL.

Results: The qualitative DWI results show improved image quality and less blurring with MUSE ARDL reconstruction.

Impact: Using multi-shot DWI and the MUSE ARDL recon increases spatial resolution and image quality at 0.5T and provides reliable imaging for low SNR DWI acquisitions.

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Keywords