Deep learning based parallel imaging (PI) has made great progresses in recent years to accelerate magnetic resonance imaging (MRI).
Such a problem is computationally hard to address by exact mathematical programming methods.
Conventional Magnetic Resonance Imaging (MRI) is hampered by long scan times and only qualitative image contrasts that prohibit a direct comparison between different systems.
Field experiment results suggest that DRCR is a more appropriate reward function than revenue, which is widely used by current literature.
Validations of the proposed method are performed for a phantom and for the human brain and liver in six healthy adult subjects.
Medical Physics Image and Video Processing
We first extend the application of dynamic pricing to a continuous pricing action space.