Prof. Jeffrey Harold Siewerdsen
Director of Surgical Data Science at Univ of Texas MD Anderson Cancer Ctr
SPIE Involvement:
Conference Chair | Author | Editor
Area of Expertise:
medical imaging , image-guided procedures , imaging physics , image quality , flat-panel detectors , cone-beam CT
Websites:
Profile Summary

Jeff Siewerdsen is Professor of Imaging Physics, Radiation Physics, and Neurosurgery as well as Director of Surgical Data Science in the Institute for Data Science in Oncology (IDSO) at The University of Texas MD Anderson Cancer Center. He was previously Vice-Chair and John C. Malone Professor of Biomedical Engineering at Johns Hopkins University and founding Co-Director of the Carnegie Center for Surgical Innovation with cross-appointment in Computer Science, Radiology, and the Armstrong Institute for Patient Safety and Quality. He obtained his PhD in Physics at the University of Michigan (1998), after which he was a Research Scientist at William Beaumont Hospital (1998-2002) and then a Senior Scientist at the Ontario Cancer Institute / University of Toronto (2002-2009). His main interests are in image-guided procedures, data-intensive modeling, the physics of medical imaging, digital x-ray and cone-beam CT systems for diagnostic and image-guided procedures, and multi-modality image registration and analytics. His current and previous professional activities include service to the AAPM (Science Council, Board of Directors, and Scientific Program Director), the SPIE (Program Committees for Physics of Medical Imaging and Image-Guided Procedures), the RSNA (Program Committee Liaison), the APS (Program Director and Committee Member for the Topic Group on Medical Physics, GMED), and SIIM-CMIMI (Scientific Program Committee). He is a Fellow of the AAPM (FAAPM), AIMBE (FAIMBE), and SPIE (FSPIE).
Publications (208)

SPIE Journal Paper | 7 June 2023
Pengwei Wu, Aina Tersol, Rolf Clackdoyle, John Boone, Jeffrey Siewerdsen
JMI, Vol. 10, Issue 03, 033503, (June 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.3.033503
KEYWORDS: Cone beam computed tomography, X-ray sources, Simulations, Optical spheres, Voxels, 3D image reconstruction, Modulation, Image quality, X-ray computed tomography, Imaging systems

Proceedings Article | 19 April 2023 Presentation + Paper
G. Shi, F. Quevedo Gonzalez, R. Breighneer, J. Carrino, J. Siewerdsen, W. Zbijewski
Proceedings Volume 12468, 1246813 (2023) https://doi.org/10.1117/12.2654304
KEYWORDS: Bone, Modulation transfer functions, X-ray computed tomography, Radiomics, Spatial resolution, Reproducibility, Principal component analysis, Current controlled current source, Head, Cooccurrence matrices

Proceedings Article | 7 April 2023 Presentation + Paper
Jeffrey Siewerdsen, A. Kyle Jones, Moiz Ahmad, Shaan Raza, Stephen Chen
Proceedings Volume 12463, 1246313 (2023) https://doi.org/10.1117/12.2654347
KEYWORDS: Imaging systems, Cone beam computed tomography, Image quality, Computed tomography, Image guided intervention, Head, Voxels, Quantum sampling

Proceedings Article | 7 April 2023 Presentation + Paper
M. Rohleder, L. Mekki, A. Uneri, A. Sisniega, G. Kleinszig, B. Kreher, A. Maier, J. Siewerdsen, H. Kunze
Proceedings Volume 12463, 1246312 (2023) https://doi.org/10.1117/12.2654349
KEYWORDS: Metals, 3D modeling, Image restoration, Cone beam computed tomography, Signal attenuation, Image segmentation, 3D projection, Prior knowledge, Expectation maximization algorithms, X-ray imaging

Proceedings Article | 7 April 2023 Presentation + Paper
Proceedings Volume 12463, 124630L (2023) https://doi.org/10.1117/12.2654447
KEYWORDS: Denoising, Education and training, Quantum noise, Quantum correlations, Breast, Data modeling, Systems modeling, Signal attenuation, Performance modeling, Computed tomography