Dr. Xiaohui Wang
Director Advanced Imaging Research and Innovation at Carestream Health Inc
SPIE Involvement:
Author | Instructor
Publications (34)

Proceedings Article | 7 April 2023 Presentation + Paper
A. Lopez-Montes, L. Vogelsang, X. Wang, W. Sehnert, A. Sisniega, W. Zbijewski
Proceedings Volume 12463, 1246308 (2023) https://doi.org/10.1117/12.2654322
KEYWORDS: Lung, X-ray sources, Tomosynthesis, Chest, Motion blur, Medical image reconstruction

Proceedings Article | 28 May 2019 Paper
P. Wu, A. Sisniega, J. Stayman, W. Zbijewski, D. Foos, X. Wang, N. Aygun, R. Stevens, J. Siewerdsen
Proceedings Volume 11072, 110720B (2019) https://doi.org/10.1117/12.2534887
KEYWORDS: Head, Computed tomography, Imaging systems, Prototyping, Visualization, Sensors, Motion models, Image quality, Injuries, Brain

Proceedings Article | 1 March 2019 Presentation + Paper
P. Wu, A. Sisniega, J. W. Stayman, W. Zbijewski, D. Foos, X. Wang, N. Aygun, R. Stevens, J. Siewerdsen
Proceedings Volume 10948, 1094814 (2019) https://doi.org/10.1117/12.2513417
KEYWORDS: Modulation, Imaging systems, Head, Sensors, Modulators, Scanners, Image filtering, Statistical modeling, Signal attenuation, Prototyping

Proceedings Article | 9 March 2018 Presentation + Paper
P. Wu, J. Stayman, M. Mow, W. Zbijewski, A. Sisniega, N. Aygun, R. Stevens, D. Foos, X. Wang, J. Siewerdsen
Proceedings Volume 10573, 105731R (2018) https://doi.org/10.1117/12.2293709
KEYWORDS: Reconstruction algorithms, Head, Prototyping, Computed tomography, Angiography, Iodine, Scanners, Brain, Targeting Task Performance metric, Data modeling

Proceedings Article | 9 March 2018 Paper
A. Sisniega, W. Zbijewski, P. Wu, J. W. Stayman, V. Koliatsos, N. Aygun, R. Stevens, X. Wang, D. Foos, J. Siewerdsen
Proceedings Volume 10573, 105734E (2018) https://doi.org/10.1117/12.2293872
KEYWORDS: X-rays, Imaging systems, Image quality, X-ray detectors, Monte Carlo methods, Signal attenuation, Head, X-ray imaging, Systems modeling

Showing 5 of 34 publications
Course Instructor
SC986: Digital Radiography Image Processing and Image Quality
This course provides attendees with a basic working knowledge of image processing methods and image quality matrices for digital projection radiography. Many image examples are included throughout the course to help you become fluent in the fundamentals of the covered topics. The course contains three aspects: image-rendering processing, processing features that are enabled by advanced image processing, and image quality assurance. The image-rendering processing section will cover major image processing components, such as data preprocessing, segmentation and analysis, tonal rendering with consideration of the human visual system, and spatial frequency methods for signal equalization, contrast enhancement, and noise suppression. The course will also include a review of ambient viewing conditions, display response and calibration. The image processing features section will include anti-scatter grid line pattern detection and suppression, long-length imaging, dual energy imaging, and quality control testing. The quality assurance section will address issues that that might cause the need for an image to be rejected and then repeated. The cause of various quality assurance deficiencies will be described and the appearance of the QA deficiencies in images will be demonstrated. Reject analysis will also be explained, including a discussion of important considerations to ensure the integrity of the data. The course material will also include a comparison of objective measures of visual image quality such as observer performance, versus qualitative approaches for assessing image quality such as subjective rank-order and comparative feature analysis. The course will conclude by reviewing various strategies for optimizing radiographic image quality.
  • View contact details

Is this your profile? Update it now.
Don’t have a profile and want one?

Back to Top