Dr. Stephen J. Glick
Senior Biomedical Research Scientist at FDA
SPIE Involvement:
Conference Program Committee | Editorial Board Member: Journal of Medical Imaging | Author | Instructor
Publications (71)

Proceedings Article | 3 April 2024 Poster
Proceedings Volume 12925, 129252Z (2024) https://doi.org/10.1117/12.3008625
KEYWORDS: Surface plasmons, Photodetectors, Medical imaging, Distortion, X-rays, X-ray sources, X-ray imaging, X-ray detectors, X-ray computed tomography, Tungsten

Proceedings Article | 1 April 2024 Poster + Paper
Proceedings Volume 12925, 129252L (2024) https://doi.org/10.1117/12.3000734
KEYWORDS: Iodine, Breast, Mammography, Sensors, Photodetectors, Convolution, Photon counting, Convolutional neural networks

Proceedings Article | 1 April 2024 Presentation + Paper
Dan Li, Andrey Makeev, Stephen Glick
Proceedings Volume 12925, 129250P (2024) https://doi.org/10.1117/12.3008754
KEYWORDS: Breast imaging, Mammography, Cancer detection, Image classification, Data modeling, Breast, Modeling

SPIE Journal Paper | 6 October 2023
Andrey Makeev, Stephen Glick
JMI, Vol. 10, Issue 05, 053502, (October 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.5.053502
KEYWORDS: Education and training, Denoising, Mammography, Data modeling, Breast, Monte Carlo methods, Image processing, Surface plasmons, Image restoration, Digital mammography

SPIE Journal Paper | 11 April 2023
JMI, Vol. 10, Issue S2, S22406, (April 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.S2.S22406
KEYWORDS: Gallium arsenide, Iodine, Mammography, Aluminum, X-rays, Cadmium telluride, Simulations, Breast, Photodetectors, X-ray imaging

Showing 5 of 71 publications
Conference Committee Involvement (18)
Physics of Medical Imaging
16 February 2025 | San Diego, California, United States
Physics of Medical Imaging
19 February 2024 | San Diego, California, United States
Physics of Medical Imaging
20 February 2023 | San Diego, California, United States
Physics of Medical Imaging
20 February 2022 | San Diego, California, United States
Physics of Medical Imaging
15 February 2021 | Online Only, California, United States
Showing 5 of 18 Conference Committees
Course Instructor
SC1292: Technological Assessment of X-Ray Based Breast Imaging Systems Using Anthropomorphic Phantoms
Development of new breast X-ray imaging technologies or improvements to hardware or software of current systems usually require the accurate assessment of image quality. Image quality assessment methods are also required for quality control (QC) of clinical systems, for example as required by the U.S. Mammography Quality Standards Act (MQSA) program. The gold standard for assessment of image quality is human reader studies assessing diagnostic performance over a cohort of representative clinical images. These clinical trials are often difficult and expensive to perform, and therefore researchers have been studying alternative approaches that can assess diagnostic task performance without imaging patients. This short course will discuss methods for objectively assessing task performance of breast imaging systems without conducting a clinical trial. One approach that will be discussed is the in silico modeling of a clinical trial. This approach involves complete computer modeling of each step in the imaging chain including: 1) modeling of breast and relevant breast lesions, 2) modeling of the imaging system, and 3) modeling of the observer. Another more experimental approach that will also be discussed involves: 1) development of anthropomorphic physical phantoms with diagnostic features, 2) imaging of these phantoms on breast imaging commercial or prototype systems, and 3) assessment of task performance with either model or human observers. For maximum efficiency, the proposed in silico and experimental approaches require the development of computer or model observers that can emulate either ideal or human observer task performance. This short course will discuss the use of new machine learning algorithms that can be used to model observer performance in the assessment of breast imaging technology. This course will describe and make attendees aware of useful open-source software tools that can be downloaded.
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