Developments in high-resolution positron emission tomography at MGH. - G. L. Brownell; C. A. Burnham; Charles W. Stearns; D. A. Chesler; Anna-Liisa Brownell; Matthew R. Palmer (Int. J. Imaging Syst. Technol., 1989)

A noise equivalent counts approach to transmission imaging and source design. - Charles W. Stearns; Daniel C. Wack (IEEE Trans. Medical Imaging, 1993)

Optimization of Noise Equivalent Count Rate Performance for a Partially Collimated PET Scanner by Varying the Number of Septa. - R. E. Schmitz; R. L. Harrison; Charles W. Stearns; Thomas K. Lewellen; Paul E. Kinahan (IEEE Trans. Medical Imaging, 2007)

Application and Evaluation of a Measured Spatially Variant System Model for PET Image Reconstruction. - Adam M. Alessio; Charles W. Stearns; Shan Tong; Steven G. Ross; Steve Kohlmyer; Alex Ganin; Paul E. Kinahan (IEEE Trans. Medical Imaging, 2010)

Fast Quasi-Newton Algorithms for Penalized Reconstruction in Emission Tomography and Further Improvements via Preconditioning. - Yu-Jung Tsai; Alexandre Bousse; Matthias J. Ehrhardt; Charles W. Stearns; Sangtae Ahn; Brian F. Hutton; Simon R. Arridge; Kris Thielemans (IEEE Trans. Medical Imaging, 2018)

Benefits of Using a Spatially-Variant Penalty Strength With Anatomical Priors in PET Reconstruction. - Yu-Jung Tsai; Georg Schramm; Sangtae Ahn; Alexandre Bousse; Simon R. Arridge; Johan Nuyts; Brian F. Hutton; Charles W. Stearns; Kris Thielemans (IEEE Trans. Medical Imaging, 2020)

A Fast Convergent Ordered-Subsets Algorithm With Subiteration-Dependent Preconditioners for PET Image Reconstruction. - Jianfeng Guo; Charles Ross Schmidtlein; Andrzej Król; Si Li; Yizun Lin; Sangtae Ahn; Charles W. Stearns; Yuesheng Xu (IEEE Trans. Medical Imaging, 2022)

An Investigation of Stochastic Variance Reduction Algorithms for Relative Difference Penalized 3D PET Image Reconstruction. - Robert Twyman; Simon R. Arridge; Zeljko Kereta; Bangti Jin; Ludovica Brusaferri; Sangtae Ahn; Charles W. Stearns; Brian F. Hutton; Irene A. Burger; Fotis Kotasidis; Kris Thielemans (IEEE Trans. Medical Imaging, 2023)