no code implementations • 23 Sep 2023 • Obaidullah Rahman, Ken D. Sauer, Charles A. Bouman, Roman Melnyk, Brian Nett
But low dose comes with a cost of low signal artifacts such as streaks and low frequency bias in the reconstruction.
no code implementations • 23 Sep 2023 • Obaidullah Rahman, Madhuri Nagare, Ken D. Sauer, Charles A. Bouman, Roman Melnyk, Brian Nett, Jie Tang
The cost we have to pay is that MBIR is computationally expensive.
no code implementations • 23 Sep 2023 • Obaidullah Rahman, Ken D. Sauer, Madhuri Nagare, Charles A. Bouman, Roman Melnyk, Jie Tang, Brian Nett
Particularly in a field such as X-ray CT, where radiologists' subjective preferences in image characteristics are key to acceptance, it may be desirable to penalize differences in DL more creatively.
no code implementations • 12 May 2016 • Ruoqiao Zhang, Dong Hye Ye, Debashish Pal, Jean-Baptiste Thibault, Ken D. Sauer, Charles A. Bouman
In this paper, we present a novel Gaussian mixture Markov random field model (GM-MRF) that can be used as a very expressive prior model for inverse problems such as denoising and reconstruction.