Prof. Elizabeth A. Krupinski
Professor and Vice Chair of Research at Emory Univ School of Medicine
SPIE Involvement:
| Awards Committee | Fellows Committee | Symposia Committee | Fellow status | Senior status | Conference Program Committee | Conference Chair | Symposium Chair | Journal Editorial Board Member | Author | Editor | Instructor
Publications (112)

SPIE Journal Paper | 24 April 2019
JMI Vol. 6 Issue 03
KEYWORDS: Digital breast tomosynthesis, Breast imaging, Breast cancer, Breast, Cancer, Digital mammography, Computer simulations, Mammography, Radiology, Optical filters

Proceedings Article | 4 March 2019
Proc. SPIE. 10952, Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment
KEYWORDS: Modeling, Statistical analysis, Tumor growth modeling, Cancer, Breast cancer, Visualization, Error analysis, Feature extraction, Mammography, Machine learning

Proceedings Article | 4 March 2019
Proc. SPIE. 10952, Medical Imaging 2019: Image Perception, Observer Performance, and Technology Assessment
KEYWORDS: Gold, Eye, Chest, Imaging systems, Cameras, Radiography, Photography, Abdomen, Photointerpretation, Radiology

SPIE Journal Paper | 22 December 2018
JMI Vol. 6 Issue 01
KEYWORDS: Artificial intelligence, Medical imaging, Image segmentation, Radiology, Breast, Convolutional neural networks, Lanthanum, Image classification, Neural networks, Ultrasonography

SPIE Journal Paper | 3 August 2018
JMI Vol. 5 Issue 03
KEYWORDS: Medical imaging, Diagnostics, Radiology, Image segmentation, Lithium, Statistical methods, Medical research, Lung, Blood vessels, Computer aided design

Showing 5 of 112 publications
Conference Committee Involvement (28)
Digital Pathology
19 February 2020 | Houston, Texas, United States
Image Perception, Observer Performance, and Technology Assessment
19 February 2020 | Houston, Texas, United States
Digital Pathology
20 February 2019 | San Diego, California, United States
Image Perception, Observer Performance, and Technology Assessment
20 February 2019 | San Diego, California, United States
Fourteenth International Workshop on Breast Imaging
9 July 2018 | Atlanta, Georgia, United States
Showing 5 of 28 Conference Committees
Course Instructor
WS757: Early Career Professional Development in Medical Imaging
This course provides attendees with strategies and ideas for navigating through the early years of Medical Imaging research in the academic environment. The course focuses on strategic career planning topics such as effective CV development, understanding the Promotion & Tenure process, resource negotiating tips, time management & organizational skills, and writing and winning research grants.
SC1295: From Analytic to Clinical Validation: Moving AI/ML into Practice
Artificial Intelligence (AI) is increasingly being used in a wide variety of medical imaging applications. Most of the focus, however, is on algorithm and scheme development, but this is only part of the picture. In order to have an impact on clinical decision making, workflow and patient care these AI tools must be evaluated using real-world cases and actual clinical providers that are expected to use them in routine care. The techniques used to conduct these types of studies are less well known in this field thus investigators need to be trained the proper study design and analysis methods. This course will cover basic principles, techniques, and process for validating models developed using artificial intelligence (AI)/machine learning (ML) techniques. The primary goal of this course is to help the audience understand and apply fundamental principles related to designing, executing, and interpreting model evaluation studies. The course will be organized around two parts: analytic validation and clinical validation. In the first half, the audience will be exposed to approaches for performing a technical validation of a prediction model, including different study designs, appropriate statistical tests, metrics, dataset considerations, and decision curve analysis. The second half will cover the process of undertaking clinical validation that would address real-world use of models, regulatory and deployment issues. Topics include workflow integration, prospective clinical trials, reader impact studies, and regulatory approvals. Examples will focus on imaging-related models that are drawn from literature and the instructors’ personal experiences in prognostic modeling, computer-aided diagnosis, and imaging biomarker development.
SC613: Statistical Methods in Medical Imaging and Bioengineering with Applications to Observer Performance Evaluation
This full-day course will provide attendees with the statistical tools needed for current bioengineering and medical imaging research. It will describe observer performance data acquisition strategies and their analyses. Observer performance methods are a set of highly evolved tools that are loosely referred to as "ROC analyses", but which now encompass two-alternative forced choice (2AFC), receiver operating characteristic (ROC), location ROC (LROC), region of interest (ROI) and free-response ROC (FROC) methods. They are used to assess radiologist performance, to perform technology comparison studies, for image quality assessment, and to assess CAD algorithms developed for mammography and lung cancer screening.
SC883: Consistent Color and Grayscale Presentation for Medical Color Displays
This course provides you with a basic working knowledge of color and color calibration. The course concentrates on consistent color and consistent grayscale presentation for the increasingly used color displays in medical imaging replacing the traditional monochrome displays. There will be four main subject areas: • The science of color and color measurements. Here you will learn about the tri-chromatic theory, the color-matching functions, the tristimulus values, the chromaticity coordinates and the various color spaces. Of particular importance for the measurement of color are the colorimeter and the spectro-photometer. • Computational tools for calibration and color reproduction. In this section you will be exposed to a typical system consisting of a colorimeter and a color display with an image for measuring color coordinates of that image, or a color camera for capturing the image of a color display like a color LCD. You learn that you need to do an input calibration, processing and an output calibration. • Assessment of display performance for medical imaging systems. In this section you will be reminded of the AAPM Task Group 18 and its efforts to establish performance criteria recommending minimum performance requirements for safe utilization of electronic monochrome displays in medical applications. You will learn that such efforts will also be required for color displays. • Visual thresholds and the effect of color on the correct diagnosis. In this section you will hear about some of the areas in medical imaging in which the importance of color images and color displays have been explored. Emphasis will be on radiologic imaging, but examples from other areas such as pathology and dermatology where true color images are used will also be referenced. Ultimately the objective of this course is to familiarize you with the elements of consistent color presentation as well as consistent grayscale presentation of medical images on digital color displays for medical image interpretation.
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