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physics.med-ph2026
Evaluating the resolution of AI-based accelerated MR reconstruction using a deep learning-based model observer
Zitong Yu, Rongping Zeng, Frank Samuelson +1
Deep Learning-based Model Observers (DLMOs) were developed to evaluate a multi-coil sensitivity encoding parallel MRI at different acceleration factors on the Rayleigh discriminati…
physics.med-ph2025
Estimating Task-based Performance Bounds for Accelerated MRI Image Reconstruction Methods by Use of Learned-Ideal Observers
Kaiyan Li, Prabhat Kc, Hua Li +3
Medical imaging systems are commonly assessed and optimized by the use of objective measures of image quality (IQ). The performance of the ideal observer (IO) acting on imaging mea…