954 citations · 2k across the 32 of their papers we have counts for
32 papers
Optimizing dual-energy CT technique for iodine-based contrast-to-noise ratio
Fatma Terzioglu, Emil Y. Sidky, Jp Phillips +3
Purpose: This study proposes a systematic method for determining the optimal x-ray tube settings/energy windows and fluence for minimal noise and maximum CNR in material density im…
Solution existence, uniqueness, and stability of discrete basis sinograms in multispectral CT
Yu Gao, Xiaochuan Pan, Chong Chen
This work investigates conditions for quantitative image reconstruction in multispectral computed tomography (MSCT), which remains a topic of active research. In MSCT, one seeks to…
4D-image reconstruction directly from limited-angular-range data in continuous-wave electron paramagnetic resonance imaging
Zheng Zhang, Boris Epel, Buxin Chen +5
Objective: We investigate and develop optimization-based algorithms for accurate reconstruction of four-dimensional (4D)-spectral-spatial (SS) images directly from data collected o…
Report on the AAPM deep-learning spectral CT Grand Challenge
Emil Y. Sidky, Xiaochuan Pan
This Special Report summarizes the 2022 AAPM Grand Challenge on Deep-Learning spectral Computed Tomography (DL-spectral CT) image reconstruction. The purpose of the challenge is to…
Comments on "DIRECT-Net: A unified mutual-domain material decomposition network for quantitative dual-energy CT Imaging'', Med. Phys. 2022, Vol. 49, pgs. 917-934
Xiaochuan Pan, Emil Y. Sidky
Quantitative image reconstruction in dual-energy computed tomography (CT) remains a topic of active research. We read with interest ``DIRECT-Net: A unified mutual-domain material d…
Iterative image reconstruction for CT with unmatched projection matrices using the generalized minimal residual algorithm
Emil Y. Sidky, Per Christian Hansen, Jakob S. Jørgensen +1
The generalized minimal residual (GMRES) algorithm is applied to image reconstruction using linear computed tomography (CT) models. The GMRES algorithm iteratively solves square, n…