Joseph Webster Stayman

发表

Model-based Material Decomposition with System Blur Modeling.

Wojciech Zbijewski, Matthew Tivnan, Wenying Wang, 2020, Proceedings of SPIE--the International Society for Optical Engineering.

Clinical study of soft-tissue contrast resolution in cone-beam CT of the head using multi-resolution PWLS with multi-motion correction and an electronic noise model

Jeffrey H. Siewerdsen, Xiaohui Wang, David H. Foos, 2019 .

WE‐A‐301‐07: Using Prior Images with Registration in Penalized Likelihood Estimation for CT with Sparse Data

Jerry L. Prince, Junghoon Lee, Yoshito Otake, 2011 .

High energy x-ray phase-contrast imaging using glancing angle grating interferometers

Michael Finkenthal, Jeffrey H. Siewerdsen, Joseph Webster Stayman, 2013, Medical Imaging.

Prospective Prediction and Control of Image Properties in Model-based Material Decomposition for Spectral CT.

Matthew Tivnan, Grace J. Gang, Joseph Webster Stayman, 2020, Proceedings of SPIE--the International Society for Optical Engineering.

TU‐D‐204B‐05: Cone‐Beam CT for Guidance of Spine Surgery: Performance and Integration of a New High‐Performance C‐Arm Prototype

Yoshito Otake, Sebastian Schafer, Jeffrey H. Siewerdsen, 2010 .

WE-EF-207-03: Design and Optimization of a CBCT Head Scanner for Detection of Acute Intracranial Hemorrhage

Jeffrey H. Siewerdsen, Jingyan Xu, Joseph Webster Stayman, 2015 .

Non-circular CT orbit design for elimination of metal artifacts.

Jeffrey H. Siewerdsen, Grace J. Gang, Joseph Webster Stayman, 2020, Proceedings of SPIE--the International Society for Optical Engineering.

Optimized Spatial-Spectral CT for Multi-Material Decomposition.

Jeffrey H. Siewerdsen, Matthew Tivnan, Joseph Webster Stayman, 2019, Proceedings of SPIE--the International Society for Optical Engineering.

TH‐D‐L100J‐03: An Investigation of the Spatial Resolution Properties of MiniCAT: Flat‐Panel‐Based Volume CT System for Head and Neck Imaging

E. Wang, Joseph Webster Stayman, 2007 .

WE‐A‐301‐04: Model‐Based Known Component Reconstruction for Computed Tomography

Jerry L. Prince, Yoshito Otake, Jeffrey H. Siewerdsen, 2011 .

A biological phantom for evaluation of CT image reconstruction algorithms

Katsuyuki Taguchi, Elliot K. Fishman, Jeffrey H. Siewerdsen, 2014, Medical Imaging.

TU‐A‐213CD‐03: Information Source Mapping in Prior‐0Image‐Based Reconstruction

Jerry L. Prince, Jeffrey H. Siewerdsen, Joseph Webster Stayman, 2012 .

Regularization design for high-quality cone-beam CT of intracranial hemorrhage using statistical reconstruction

Jeffrey H. Siewerdsen, Xiaohui Wang, David H. Foos, 2016, SPIE Medical Imaging.

Estimation of local deformable motion in image-based motion compensation for interventional cone-beam CT

Jeffrey H. Siewerdsen, Wojciech Zbijewski, Clifford R. Weiss, 2020 .

TU‐E‐201B‐03: Design and Initial Performance Characterization of a Dedicated Cone‐Beam CT System for Musculoskeletal Extremities Imaging

Dong Yang, Jeffrey H. Siewerdsen, Nathan J. Packard, 2010 .

WE‐E‐201C‐02: Portable Dual‐Energy Imaging with a Wireless DR Detector: Optimal Technique and Material Decomposition for High‐Performance ICU Imaging

Jeffrey H. Siewerdsen, David H. Foos, John A. Carrino, 2010 .

A generalized Fourier penalty in prior-image-based reconstruction for cross-platform imaging

Jeffrey H. Siewerdsen, Joseph Webster Stayman, Amir Pourmorteza, 2016, SPIE Medical Imaging.

Cascaded systems modeling of signal, noise, and DQE for x-ray photon counting detectors

Katsuyuki Taguchi, Erik Fredenberg, Jeffrey H. Siewerdsen, 2014, Medical Imaging.

Cone-beam CT statistical reconstruction with a model for fluence modulation and electronic readout noise

Jeffrey H. Siewerdsen, Xiaohui Wang, David H. Foos, 2019, Medical Imaging.

Theoretical framework for the dual-energy cone-beam CT noise-power spectrum, NEQ, and tasked-based detectability index

Jeffrey H. Siewerdsen, Wojciech Zbijewski, John A. Carrino, 2012, Medical Imaging.

TH‐D‐201B‐07: Predicting Noise and Resolution Properties in Tomosynthesis with Statistical Image Reconstruction

Jerry L. Prince, Yoshito Otake, Jeffrey H. Siewerdsen, 2010 .

Image-based deformable motion compensation in cone-beam CT: translation to clinical studies in interventional body radiology

Jeffrey H. Siewerdsen, Clifford R. Weiss, Joseph Webster Stayman, 2020, Medical Imaging: Image-Guided Procedures.

Image quality, scatter, and dose in compact CBCT systems with flat and curved detectors

Jeffrey H. Siewerdsen, Xiaohui Wang, David H. Foos, 2018, Medical Imaging.

Development and clinical translation of a cone-beam CT scanner for high-quality imaging of intracranial hemorrhage

Jeffrey H. Siewerdsen, Xiaohui Wang, David H. Foos, 2017, Medical Imaging.

Noise reduction in material decomposition for low-dose dual-energy cone-beam CT

Katsuyuki Taguchi, Adam Wang, Jeffrey H. Siewerdsen, 2013, Medical Imaging.

Performance assessment of texture reproduction in high-resolution CT

Hui Shi, Grace J. Gang, Joseph Webster Stayman, 2020, Medical Imaging.

Self-calibration of cone-beam CT geometry using 3D-2D image registration.

Jeffrey H. Siewerdsen, Grace J. Gang, Joseph Webster Stayman, 2016, Physics in medicine and biology.

Patient-specific minimum-dose imaging protocols for statistical image reconstruction in C-arm cone-beam CT using correlated noise injection

Yoshito Otake, Gary L. Gallia, Jeffrey H. Siewerdsen, 2014, Medical Imaging.

Penalized-likelihood reconstruction for sparse data acquisitions with unregistered prior images and compressed sensing penalties

Jerry L. Prince, Sebastian Schafer, Jeffrey H. Siewerdsen, 2011, Medical Imaging.

Blind deconvolution in model-based iterative reconstruction for CT using a normalized sparsity measure

Franz Pfeiffer, Joseph Webster Stayman, Lorenz Hehn, 2019, Physics in medicine and biology.

Modeling and control of nonstationary noise characteristics in filtered-backprojection and penalized likelihood image reconstruction

Jeffrey H. Siewerdsen, Wojciech Zbijewski, Grace J. Gang, 2013, Medical Imaging.

Polyenergetic known-component reconstruction without prior shape models

X. Zhang, Wojciech Zbijewski, Joseph Webster Stayman, 2017, Medical Imaging.

Deformable image-based motion compensation for interventional cone-beam CT with a learned autofocus metric

Jeffrey H. Siewerdsen, Wojciech Zbijewski, Clifford R. Weiss, 2021 .

WE‐G‐110‐02: A Cascaded Systems Model for Imaging Performance and Task‐Based Optimization in Dual‐Energy Cone‐Beam CT

Jeffrey H. Siewerdsen, Wojciech Zbijewski, Grace J. Gang, 2011 .

SU‐E‐J‐47: Deformable Image Registration in the Presence of Excised Tissue: A Modified Demons Algorithm for Cone‐Beam CT‐Guided Surgery

Yoshito Otake, Sebastian Schafer, Jeffrey H. Siewerdsen, 2011 .