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Abstract #4031

Adaptive Deep Learning MR Image Enhancement with Property Constrained Unrolled Network

Zechen Zhou1, Ryan Chamberlain1, Praveen Gulaka1, Enhao Gong1, Greg Zaharchuk1, and Ajit Shankaranarayanan1
1Subtle Medical Inc, Menlo Park, CA, United States

Synopsis

Keywords: Machine Learning/Artificial Intelligence, Machine Learning/Artificial IntelligenceAn unrolled network with explicit MR image degradation modeling and physical property constraints, termed PGDNet, is proposed for adaptive image denoising and deblurring. Preliminary evaluation demonstrated that PGDNet can achieve similar/superior image quality enhancement compared to the conventional task-specific networks, and can outperform others in joint denoising and deblurring tasks. PGDNet provides a promising solution for adaptive MR image denoising and deblurring to restore the image quality of accelerated clinical MR scans.

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Keywords