This standard establishes metrics to assess the quality of images reconstructed from undersampled frequency-wavenumber (k-space) measurements of static objects using magnetic resonance imaging (MRI) techniques. Since MRI data from patients is private information, this standard uses physical artifacts known as phantoms. The standard defines: • quantitative metrics, such as feature contrast, aliasing artifacts, noise level, blurring, or peak signal-to-noise-ratio, that can be used to determine the quality of MRI images, • computational metrics for reconstruction algorithms, such as latency and throughput, • an analysis method of imaging performance with respect to the defined metrics for available MRI reconstruction algorithms such as iterative compressed sensing techniques or deep learning with and without unrolling, • a method to assess the training data required for deep learning approaches, • a method to assess the impact of the sampling geometry (e.g. Cartesian) on MRI reconstruction performance.
Working Group Details
- IEEE Signal Processing Society
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- Sponsor Committee
- SPS/SASC - Synthetic Aperture Standards Committee
- Working Group
MRI-Metrics - Standard for Performance Metrics for Magnetic Resonance Image Reconstruction
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- IEEE Program Manager
- Jonathan Goldberg
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- Working Group Chair
- Peter Vouras
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