Jeffrey H. Siewerdsen

Jeffrey H. Siewerdsen, Michael J. Daly, David A. Jaffray, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Advanced image registration and reconstruction using the O-Arm system: dose reduction, image quality, and guidance using known-component models

X. Zhang, J. Webster Stayman, Jeffrey H. Siewerdsen, 2018, Medical Imaging.

Automatic definition of surgical trajectories and acceptance window in pelvic trauma surgery using deformable registration

Runze Han, Gerhard Kleinszig, Jeffrey H. Siewerdsen, 2018, Medical Imaging.

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

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

Clinical Translation of the LevelCheck Decision Support Algorithm for Target Localization in Spine Surgery

Runze Han, Tharindu De Silva, Gerhard Kleinszig, 2018, Annals of Biomedical Engineering.

Method for metal artifact avoidance in C-arm cone-beam CT

Gerhard Kleinszig, Jeffrey H. Siewerdsen, Pengwei Wu, 2020 .

C-arm cone beam CT guidance of sinus and skull base surgery: quantitative surgical performance evaluation and development of a novel high-fidelity phantom

Jeffrey H. Siewerdsen, Michael J. Daly, Harley Chan, 2009, Medical Imaging.

TU-C-I-609-06: Task-Based Optimization of Dual-Energy Imaging Systems Using Generalized NEQ

Jeffrey H. Siewerdsen, David A. Jaffray, Samuel Richard, 2005 .

Theoretical performance of amorphous silicon imagers in diagnostic radiology

Larry E. Antonuk, Jeffrey H. Siewerdsen, John Yorkston, 1996, Medical Imaging.

Multimode C-arm fluoroscopy, tomosynthesis, and cone-beam CT for image-guided interventions: from proof of principle to patient protocols

Jeffrey H. Siewerdsen, Jonathan C. Irish, David A. Jaffray, 2007, SPIE Medical Imaging.

Dual-projection 3D-2D registration for surgical guidance: preclinical evaluation of performance and minimum angular separation

Yoshito Otake, Gerhard Kleinszig, Gary L. Gallia, 2014, Medical Imaging.

Convergence criterion for MBIR based on the local noise-power spectrum: Theory and implementation in a framework for accelerated 3D image reconstruction with a morphological pyramid

Joseph Webster Stayman, Jeffrey H. Siewerdsen, Clifford R. Weiss, 2019 .

MIND Demons: Symmetric Diffeomorphic Deformable Registration of MR and CT for Image-Guided Spine Surgery

Jerry L. Prince, Gerhard Kleinszig, Jeffrey H. Siewerdsen, 2016, IEEE Transactions on Medical Imaging.

Analysis of lung nodule detectability and anatomical clutter in tomosynthesis imaging of the chest

Rebecca Fahrig, Jeffrey H. Siewerdsen, Sungwon Yoon, 2009, Medical Imaging.

TH‐A‐204C‐01: Cone‐Beam CT: Principles Practicalities and Applications

Jeffrey H. Siewerdsen, 2010 .

Application of a novel ultra-high resolution multi-detector CT in quantitative imaging of trabecular microstructure

Jeffrey H. Siewerdsen, Wojciech Zbijewski, Shadpour Demehri, 2020, Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging.

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 .

Clustered iterative sub-atlas registration for improved deformable registration using statistical shape models

Runze Han, Gerhard Kleinszig, Jeffrey H. Siewerdsen, 2018, Medical Imaging.

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.

Large-area 97-μm pitch indirect-detection active-matrix flat-panel imager (AMFPI)

Larry E. Antonuk, Qihua Zhao, Youcef El-Mohri, 1998, Medical Imaging.

High-performance intraoperative cone-beam CT on a mobile C-arm: an integrated system for guidance of head and neck surgery

Jeffrey H. Siewerdsen, Michael J. Daly, Harley Chan, 2009, Medical Imaging.

MO‐F‐217BCD‐01: Assessment of Image Quality in the New CT

Jeffrey A. Fessler, Jeffrey H. Siewerdsen, Jeffrey A. Fessler, 2012 .

Technical note: known-component registration for robotic drill guide positioning

Jeffrey H. Siewerdsen, Ali Uneri, T. Yi, 2018, Medical Imaging.

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

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

Beyond the limits of present active matrix flat-panel imagers (AMFPIs) for diagnostic radiology

Larry E. Antonuk, Qihua Zhao, Youcef El-Mohri, 1999, Medical Imaging.

Fusion of intraoperative cone-beam CT and endoscopic video for image-guided procedures

Jeffrey H. Siewerdsen, Michael J. Daly, Harley Chan, 2010, Medical Imaging.

Quantitative evaluation of bone microstructure using high-resolution extremity cone-beam CT with a CMOS detector

Wojciech Zbijewski, Jeffrey H. Siewerdsen, S. Subramanian, 2019, Medical Imaging.

A biological phantom for evaluation of CT image reconstruction algorithms

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

Data-driven detection and registration of spine surgery instrumentation in intraoperative images

Jeffrey H. Siewerdsen, Yixuan Huang, Ali Uneri, 2020, Medical Imaging: Image-Guided Procedures.

WE-D-L100E-01: Cone Beam CT Workshop

John M. Boone, Rebecca Fahrig, Jeffrey H. Siewerdsen, 2007 .

NEQ and task in dual-energy imaging: from cascaded systems analysis to human observer performance

Jeffrey H. Siewerdsen, Daniel J. Tward, S. Richard, 2008, SPIE Medical Imaging.

Self-calibration of cone-beam CT geometry using 3D-2D image registration: development and application to tasked-based imaging with a robotic C-arm

J. Webster Stayman, Jeffrey H. Siewerdsen, Ali Uneri, 2015, Medical Imaging.

Task-Driven Optimization of Fluence Field and Regularization for Model-Based Iterative Reconstruction in Computed Tomography

J. Webster Stayman, Jeffrey H. Siewerdsen, Grace J. Gang, 2017, IEEE Transactions on Medical Imaging.

TU‐A‐BRCD‐01: Image Acquisition and Processing for Adaptive Radiotherapy

Jeffrey H. Siewerdsen, Marc L. Kessler, J. J. Sonke, 2012 .

Improved intraoperative imaging in spine surgery: clinical translation of known-component 3D image reconstruction on the O-arm system

J. Webster Stayman, Jeffrey H. Siewerdsen, Ali Uneri, 2019, Medical Imaging.

MIND Demons for MR-to-CT deformable image registration in image-guided spine surgery

Jerry L. Prince, Gerhard Kleinszig, Jeffrey H. Siewerdsen, 2016, SPIE Medical Imaging.

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

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

A robotic x-ray cone-beam CT system: trajectory optimization for 3D imaging of the weight-bearing spine

Jeffrey H. Siewerdsen, Wojciech Zbijewski, Steffen Kappler, 2019, Medical Imaging.

Deformable 3D-2D registration for guiding K-wire placement in pelvic trauma surgery

Gerhard Kleinszig, Jeffrey H. Siewerdsen, Ali Uneri, 2017, Medical Imaging.

Improved spatial resolution in flat-panel imaging systems

Larry E. Antonuk, Youcef El-Mohri, Jeffrey H. Siewerdsen, 1998, Medical Imaging.

Architecture of a high-performance surgical guidance system based on C-arm cone-beam CT: software platform for technical integration and clinical translation

Daniel Mirota, Russell H. Taylor, Gregory D. Hager, 2011, Medical Imaging.

Known-component registration for robotic drill guide positioning in spine pedicle screw placement (Conference Presentation)

Jeffrey H. Siewerdsen, Ali Uneri, Thomas Yi, 2018 .

MO‐A‐301‐01: Essentials of CT Image Reconstruction: 3D Filtered Backprojection

Jeffrey H. Siewerdsen, 2011 .

MTF measurements with high-resolution a-Si:H imaging arrays

Larry E. Antonuk, Youcef El-Mohri, Jeffrey H. Siewerdsen, 1995, Medical Imaging.

Signal, noise, and detective quantum efficiency of a-Si:H flat-panel imagers

Jeffrey H. Siewerdsen, 1998 .

Volumetric cone-beam CT system based on a 41x41 cm2 flat-panel imager

Jeffrey H. Siewerdsen, David A. Jaffray, 2001, SPIE Medical Imaging.

Fundamental limits of image registration performance: effects of image noise and resolution in CT-guided interventions

Runze Han, Gerhard Kleinszig, Jeffrey H. Siewerdsen, 2017, Medical Imaging.

Joint estimation of deformation and penalized-likelihood CT reconstruction using previously acquired images

Adam Wang, Jeffrey H. Siewerdsen, Zhe Zhao, 2013 .

Technology and applications in interventional imaging: 2D X-ray radiography/fluoroscopy and 3D cone-beam CT

Jeffrey H. Siewerdsen, Sebastian Schafer, S. Schafer, 2020 .

Introduction and a Word of Thanks

Jeffrey H. Siewerdsen, James M. Balter, 2005 .

Large-area flat-panel amorphous silicon imagers

Larry E. Antonuk, Youcef El-Mohri, Robert A. Street, 1995, Medical Imaging.

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 .

Multi-slot extended view imaging on the O-Arm: image quality and application to intraoperative assessment of spinal morphology

Jeffrey H. Siewerdsen, Ali Uneri, Michael D. Ketcha, 2020, Medical Imaging: Image-Guided Procedures.

Incorporation of prior knowledge for region of change imaging from sparse scan data in image-guided surgery

Jerry L. Prince, Yoshito Otake, Sebastian Schafer, 2012, Medical Imaging.

SU-FF-I-16: OSCaR: An Open-Source Cone-Beam CT Reconstruction Tool for Imaging Research

Jeffrey H. Siewerdsen, Douglas J. Moseley, N. Rezvani, 2007 .

Coupled active shape models for automated segmentation and landmark localization in high-resolution CT of the foot and ankle

Wojciech Zbijewski, Jeffrey H. Siewerdsen, D. Yang, 2019, Medical Imaging.

Effect of statistical mismatch between training and test images for CNN-based deformable registration

Runze Han, Gerhard Kleinszig, Jeffrey H. Siewerdsen, 2019, Medical Imaging: Image Processing.

Image-guided robotic k-wire placement for orthopaedic trauma surgery

Gerhard Kleinszig, Jeffrey H. Siewerdsen, Pengwei Wu, 2020, Medical Imaging: Image-Guided Procedures.

Image quality: Introduction

Miguel P. Eckstein, Kyle J. Myers, Matthew A. Kupinski, 2007 .

SU‐FF‐J‐37: Automatic Optical Tracking System Calibration for Radiation Therapy

Jeffrey H. Siewerdsen, Douglas J. Moseley, G. Bootsma, 2007 .

TH‐C‐330A‐09: Cascaded Systems Analysis of Noise Reduction Algorithms for Dual‐Energy Imaging

Jeffrey H. Siewerdsen, Samuel Richard, 2006 .

Model-based cone-beam CT reconstruction for image-guided minimally invasive treatment of hip osteolysis

Russell H. Taylor, Ryan J. Murphy, Mehran Armand, 2013, Medical Imaging.

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 .

Calibration and registration of a freehand video-guided surgical drill for orthopaedic trauma

Jeffrey H. Siewerdsen, Tharindu De Silva, Ali Uneri, 2020, Medical Imaging: Image-Guided Procedures.

Design and validation of a large, open-source library of rigid-body markers for surgical navigation (Conference Presentation)

Jeffrey H. Siewerdsen, Ali Uneri, Tharindu De Silva, 2018 .

C-arm positioning using virtual fluoroscopy for image-guided surgery

Gerhard Kleinszig, Jeffrey H. Siewerdsen, Ali Uneri, 2017, Medical Imaging.

Incorporating tissue excision in deformable image registration: a modified demons algorithm for cone-beam CT-guided surgery

Daniel Mirota, Yoshito Otake, Sebastian Schafer, 2011, Medical Imaging.

DQE and system optimization for indirect-detection flat-panel imagers in diagnostic radiology

Jeffrey H. Siewerdsen, Larry E. Antonuk, 1998, Medical Imaging.

Robust quantitative assessment of trabecular microarchitecture in extremity cone-beam CT using optimized segmentation algorithms

Wojciech Zbijewski, Jeffrey H. Siewerdsen, Greg Osgood, 2018, Medical Imaging.

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 .

High-resolution, high-frame-rate, flat-panel TFT array for digital x-ray imaging

Larry E. Antonuk, Youcef El-Mohri, Robert A. Street, 1994, Medical Imaging.

Real-time image-based 3D-2D registration for ultrasound-guided spinal interventions

Runze Han, X. Zhang, Gerhard Kleinszig, 2018, Medical Imaging.

Quantitative assessment of weight-bearing fracture biomechanics using extremity cone-beam CT

J. Webster Stayman, Wojciech Zbijewski, Jeffrey H. Siewerdsen, 2020, Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging.

A Statistical Model Relating Image Quality to Image Registration Accuracy in Image-Guided Surgery

Gerhard Kleinszig, Jeffrey H. Siewerdsen, Ali Uneri, 2019 .

Generalized DQE analysis of dual-energy imaging using flat-panel detectors

Jeffrey H. Siewerdsen, David A. Jaffray, D. Moseley, 2005, SPIE Medical Imaging.

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.

Guest Editorial Low-Dose CT: What Has Been Done, and What Challenges Remain?

Zhengrong Liang, Jeffrey H. Siewerdsen, Patrick J. La Rivière, 2017, IEEE Trans. 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.

Development of a high-resolution active-matrix flat-panel imager with enhanced fill factor

Larry E. Antonuk, Youcef El-Mohri, Robert A. Street, 1997, Medical Imaging.

Deformable 3D-2D Registration of Known Components for Image Guidance in Spine Surgery

Gerhard Kleinszig, Jeffrey H. Siewerdsen, Ali Uneri, 2016, MICCAI.

A gaussian mixture + demons deformable registration method for cone-beam CT-guided robotic transoral base-of-tongue surgery

Russell H. Taylor, Yoshito Otake, Sebastian Schafer, 2013, Medical Imaging.

Guidance for cone-beam CT design: tradeoff between view sampling rate and completeness of scanning trajectories

Guang-Hong Chen, Jeffrey H. Siewerdsen, Jiang Hsieh, 2006, SPIE Medical Imaging.

Tracker-on-C for cone-beam CT-guided surgery: evaluation of geometric accuracy and clinical applications

Russell H. Taylor, Yoshito Otake, Sebastian Schafer, 2012, Medical Imaging.

Known-component 3D-2D registration for image guidance and quality assurance in spine surgery pedicle screw placement

J. Webster Stayman, Gerhard Kleinszig, Jeffrey H. Siewerdsen, 2015, 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.

Cascaded systems analysis of the 3D NEQ for cone-beam CT and tomosynthesis

Rebecca Fahrig, Jeffrey H. Siewerdsen, Daniel J. Tward, 2008, SPIE Medical Imaging.

TH‐D‐ValB‐08: Commissioning of a KV Image‐Guided System

Jeffrey H. Siewerdsen, David A. Jaffray, Thomas G. Purdie, 2006 .

Automatic localization of target vertebrae in spine surgery using fast CT-to-fluoroscopy (3D-2D) image registration

Yoshito Otake, Sebastian Schafer, J. Webster Stayman, 2012, Medical Imaging.

Advances in 3D Image Reconstruction

J. Webster Stayman, Jeffrey H. Siewerdsen, Frédéric Noo, 2016 .

Flat-panel cone-beam CT: a novel imaging technology for image-guided procedures

Jeffrey H. Siewerdsen, David A. Jaffray, Gregory K. Edmundson, 2001, SPIE 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.

A statistical model for image registration performance: effect of tissue deformation

Runze Han, Gerhard Kleinszig, Jeffrey H. Siewerdsen, 2018, Medical Imaging.

SU‐FF‐J‐75: Geometric Calibration of An Extended View C‐Arm Platform for Cone‐Beam CT

Jeffrey H. Siewerdsen, Douglas J. Moseley, Young-Bin Cho, 2005 .

Incorporation of noise and prior images in penalized-likelihood reconstruction of sparse data

J. Webster Stayman, Jeffrey H. Siewerdsen, Y. Ding, 2012, 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.

TH‐E‐110‐09: Grids Revisited: The Effect of Antiscatter Grids on Image Quality and Dose in Mobile C‐Arm Cone‐Beam CT for Image‐Guided Surgery

Sebastian Schafer, Jeffrey H. Siewerdsen, Wojciech Zbijewski, 2011 .

Soft-tissue imaging in low-dose, C-arm cone-beam CT using statistical image reconstruction

Yoshito Otake, Sebastian Schafer, Adam Wang, 2013, Medical Imaging.

A new method of morphological comparison for bony reconstructive surgery: maxillary reconstruction using scapular tip bone

Jeffrey H. Siewerdsen, Michael J. Daly, Harley Chan, 2010, Medical Imaging.

Automatic vertebrae localization in spine CT: a deep-learning approach for image guidance and surgical data science

Jeffrey H. Siewerdsen, Ali Uneri, Tharindu De Silva, 2019, Medical Imaging.

Cone-beam CT with a flat-panel imager: noise considerations for fully 3D computed tomography

Jeffrey H. Siewerdsen, David A. Jaffray, 2000, Medical Imaging.

Multi-slot intraoperative imaging and 3D-2D registration for evaluation of long surgical constructs in spine surgery

Jeffrey H. Siewerdsen, Ali Uneri, Michael D. Ketcha, 2020, Medical Imaging: Image-Guided Procedures.

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.

Atlas-based automatic measurements of the morphology of the tibiofemoral joint

Wojciech Zbijewski, Jeffrey H. Siewerdsen, Michael Brehler, 2017, Medical Imaging.

Performance of a volumetric CT scanner based upon a flat-panel imager

Jeffrey H. Siewerdsen, David A. Jaffray, Douglas G. Drake, 1999, Medical Imaging.

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.

Model-Based Tomographic Reconstruction of Objects Containing Known Components

Jerry L. Prince, Yoshito Otake, J. Webster Stayman, 2012, IEEE Transactions on Medical Imaging.

Intensity-modulated fluence patterns for task-specific imaging in cone-beam CT

Jeffrey H. Siewerdsen, David A. Jaffray, S. A. Graham, 2007, SPIE Medical Imaging.

Incorporation of task in 3D imaging performance evaluation: the impact of asymmetric NPS on detectability

Jeffrey H. Siewerdsen, David A. Jaffray, Douglas J. Moseley, 2004, SPIE Medical Imaging.

Acquisition of projection images

Jeffrey H. Siewerdsen, Wei Zhao, 2014 .

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.

An on-board surgical tracking and video augmentation system for C-arm image guidance

Daniel Mirota, Russell H. Taylor, Yoshito Otake, 2012, International Journal of Computer Assisted Radiology and Surgery.

Rendering-based video-CT registration with physical constraints for image-guided endoscopic sinus surgery

Russell H. Taylor, Masaru Ishii, Gregory D. Hager, 2015, Medical Imaging.

Intraoperative cone-beam CT for image-guided tibial plateau fracture reduction.

Cari M. Whyne, Jeffrey H. Siewerdsen, Michael J. Daly, 2007 .

An electromagnetic “Tracker-in-Table” configuration for X-ray fluoroscopy and cone-beam CT-guided surgery

Yoshito Otake, Sebastian Schafer, Jeffrey H. Siewerdsen, 2012, International Journal of Computer Assisted Radiology and Surgery.

Analysis of image noise in 3D cone-beam CT: spatial and Fourier domain approaches under conditions of varying stationarity

Jeffrey H. Siewerdsen, Daniel J. Tward, Angel R. Pineda, 2008, SPIE Medical Imaging.

Deformable image registration with content mismatch: a demons variant to account for added material and surgical devices in the target image

Daniel Mirota, Yoshito Otake, Sebastian Schafer, 2013, Medical Imaging.

Unified iso-SNR approach to task-directed imaging in flat-panel cone-beam CT

Jeffrey H. Siewerdsen, David A. Jaffray, 2002, SPIE Medical Imaging.

Cone-Beam CT Systems

Jeffrey H. Siewerdsen, J. Siewerdsen, 2019 .

SpineCloud: image analytics for predictive modeling of spine surgery outcomes

Runze Han, Gregory D. Hager, Jeffrey H. Siewerdsen, 2020, Medical Imaging: Image-Guided Procedures.

Evaluation of a System for High-Accuracy 3D Image-Based Registration of Endoscopic Video to C-Arm Cone-Beam CT for Image-Guided Skull Base Surgery

Daniel Mirota, Russell H. Taylor, Masaru Ishii, 2013, IEEE Transactions on Medical Imaging.

Automatic masking for robust 3D-2D image registration in image-guided spine surgery

Gerhard Kleinszig, Jeffrey H. Siewerdsen, Ali Uneri, 2016, SPIE Medical Imaging.

WE‐E‐330D‐04: High‐Performance Dual‐Energy Imaging with a Flat‐Panel Detector: Answering the Challenge of Dual‐KVp Flood‐Field Correction

Jeffrey H. Siewerdsen, Michael J. Daly, N. A. Shkumat, 2006 .

Automatic trajectory and instrument planning for robot-assisted spine surgery

Runze Han, Jeffrey H. Siewerdsen, Ali Uneri, 2019, Medical Imaging.

Dose and scatter characteristics of a novel cone beam CT system for musculoskeletal extremities

Dong Yang, Jeffrey H. Siewerdsen, Nathan J. Packard, 2012, Medical Imaging.

Future Directions in Medical Physics: Models, Technology, and Translation to Medicine

Jeffrey H. Siewerdsen, J. Siewerdsen, 2016 .

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.

Automatic analysis of global spinal alignment from spine CT images

Runze Han, Jeffrey H. Siewerdsen, B. Jiang, 2019, Medical Imaging.

Clinical implementation of intraoperative cone-beam CT in head and neck surgery

Jeffrey H. Siewerdsen, Michael J. Daly, Harley Chan, 2011, Medical Imaging.

Integration of free-hand 3D ultrasound and mobile C-arm cone-beam CT: Feasibility and characterization for real-time guidance of needle insertion

Wojciech Zbijewski, Gerhard Kleinszig, Jeffrey H. Siewerdsen, 2017, Comput. Medical Imaging Graph..

MO‐D‐L100J‐09: A Multi‐Resolution, Multi‐Scale, Mutual Information Technique for Registration of High‐ and Low‐KVp Projections in Dual‐Energy Imaging

Jeffrey H. Siewerdsen, N. A. Shkumat, A. C. Dhanantwari, 2007 .

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

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

Deformable MR-CT image registration using an unsupervised synthesis and registration network for neuro-endoscopic surgery

Jeffrey H. Siewerdsen, William S. Anderson, Ali Uneri, 2021 .

Intraoperative guidance of orthopaedic instruments using 3D correspondence of 2D object instance segmentations

Gerhard Kleinszig, Jeffrey H. Siewerdsen, Ali Uneri, 2021 .

Welcome and Introduction to SPIE Conference 11598

Jeffrey H. Siewerdsen, Cristian A. Linte, 2021 .

Image-domain cardiac motion compensation in multidirectional digital chest tomosynthesis

Jeffrey H. Siewerdsen, Wojciech Zbijewski, Steffen Kappler, 2021 .

Drill-mounted video guidance for orthopaedic trauma surgery

Tharindu De Silva, Jeffrey H. Siewerdsen, Ali Uneri, 2021, Journal of medical imaging.

Development of a fluoroscopically guided robotic assistant for instrument placement in pelvic trauma surgery

Gerhard Kleinszig, Jeffrey H. Siewerdsen, Ali Uneri, 2021, Journal of medical imaging.

Cone-beam CT for neurosurgical guidance: high-fidelity artifacts correction for soft-tissue contrast resolution

Jeffrey H. Siewerdsen, Ali Uneri, Pengwei Wu, 2021 .

Pre-clinical evaluation of a video-based drill guidance system for orthopaedic trauma surgery

Jeffrey H. Siewerdsen, Ali Uneri, Alejandro Sisniega, 2021 .

Data-Driven Deformable 3D-2D Registration for Guiding Neuroelectrode Placement in Deep Brain Stimulation.

Jeffrey H. Siewerdsen, William S. Anderson, Ali Uneri, 2021, Proceedings of SPIE--the International Society for Optical Engineering.

Fluoroscopic Guidance of a Surgical Robot: Pre-clinical Evaluation in Pelvic Guidewire Placement.

Gerhard Kleinszig, Jeffrey H. Siewerdsen, Ali Uneri, 2021, Proceedings of SPIE--the International Society for Optical Engineering.

Sinogram + image domain neural network approach for metal artifact reduction in low-dose cone-beam computed tomography

Jeffrey H. Siewerdsen, Ali Uneri, Pengwei Wu, 2021, Journal of medical imaging.

Robot-assisted ventriculoscopic 3D reconstruction for guidance of deep-brain stimulation surgery

Jeffrey H. Siewerdsen, Ali Uneri, Pengwei Wu, 2021 .

Intraoperative Cone-beam CT for Guidance of Temporal Bone Surgery

Jeffrey H. Siewerdsen, Michael J. Daly, Jonathan C. Irish, 2006, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

Motion compensation in extremity cone-beam computed tomography

Jeffrey H. Siewerdsen, Wojciech Zbijewski, Shadpour Demehri, 2019, Skeletal Radiology.

A Large Area, High-Resolution a-Si:H Array for X-Ray Imaging

Larry E. Antonuk, Youcef El-Mohri, Robert A. Street, 1994 .

Photodynamic therapy for the treatment of metastatic lesions in bone: Studies in rat and porcine models

Jeffrey H. Siewerdsen, Brian C. Wilson, Robert A. Weersink, 2005 .

Radiation dose and image-quality assessment in computed tomography

John M. Boone, Cynthia H McCollough, Jeffrey H. Siewerdsen, 2012 .

Utility of the LevelCheck Algorithm for Decision Support in Vertebral Localization

Tharindu De Silva, Gerhard Kleinszig, Jeffrey H. Siewerdsen, 2016, Spine.

TU‐A‐201B‐01: An Inverse Planning Method for Intensity Modulated Computed Tomography

Jeffrey H. Siewerdsen, David A. Jaffray, Simon J. Graham, 2010 .

Considerations for High Frame Rate Operation of Two-Dimensional a-Si:H Imaging Arrays

Larry E. Antonuk, Jeffrey H. Siewerdsen, John Yorkston, 1993 .

MO‐B‐352‐02: Multi‐Modality Imaging: Physics and Technology Considerations in Diagnostic and Image‐Guided Procedures

Jeffrey H. Siewerdsen, 2008 .

Assessment of prostate and seminal vesicles motion/deformation using sagittal cinemri for margin determination in on-line image-guided radiation therapy (IGRT) for prostate cancer

Jeffrey H. Siewerdsen, David A. Jaffray, M. van Herk, 2002 .

TU‐D‐I‐611‐04: Intensity‐Modulated Cone‐Beam CT for Patient‐Specific Distribution of SNR

Jeffrey H. Siewerdsen, D. Moseley, Simon J. Graham, 2005 .

Effect of fiducial configuration on target registration error in intraoperative cone-beam CT guidance of head and neck surgery

Jeffrey H. Siewerdsen, Michael J. Daly, Jonathan C. Irish, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Three‐dimensional tomosynthesis and cone‐beam computed tomography: An experimental study for fast, low‐dose intraoperative imaging technology for guidance of sinus and skull base surgery

Jeffrey H. Siewerdsen, Michael J. Daly, Harley Chan, 2009, The Laryngoscope.

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 .

Deformable registration for intra-operative cone-beam CT guidance of head and neck surgery

Jeffrey H. Siewerdsen, Jonathan C. Irish, Sajendra Nithiananthan, 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

CT Reconstruction Using Spectral and Morphological Prior Knowledge : Application to Imaging the Prosthetic Knee

J. Webster Stayman, Jeffrey H. Siewerdsen, Wojciech Zbijewski, 2012 .

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 .

Nesterov ’ s Method for Accelerated Penalized-Likelihood Statistical Reconstruction for Carm Cone-Beam CT

Yoshito Otake, J. Webster Stayman, Gerhard Kleinszig, 2014 .

Radiation response of amorphous silicon imaging arrays at diagnostic energies

Larry E. Antonuk, Jeffrey H. Siewerdsen, John Yorkston, 1994 .

Flat-panel cone-beam computed tomography for image-guided RT

Jeffrey H. Siewerdsen, David A. Jaffray, J. W. Wong, 2000 .

Video-based navigation with application to endoscopic skull base surgery

Gregory D. Hager, Jeffrey H. Siewerdsen, Daniel J. Mirota, 2012 .