EDU 48 - Techniques and Applications of Synthetic Images
MODERATOR(S)
Heng Li, PhD - Johns Hopkins University School of Medicine
session DESCRIPTION
In medical imaging and radiation oncology, image synthesis refers to generating a target image modality from a given source modality, for example, synthetic CT images from MRI simulations for treatment planning. Synthetic images have the potential to enhance the efficiency of the clinical workflow, through bypassing an imaging procedure when the acquisition is infeasible. Advanced image synthesis techniques, such as image synthesis with deep learning or other machine learning techniques, have led to improved images and enabled a wide range of clinical applications. This symposium aims to discuss advance in image synthesis techniques and applications, including quality assurance, based on various imaging modalities.
learning objectives
- outline the techniques and applications of synthetic images.
- describe the quality assurance for image synthesis.
Credits
| AMA PRA Category 1 Credits: | 1.00 |
Presentations
-
04:00pm - 05:00pm PT
Techniques and Applications of Synthetic Images
Speaker: Heng Li, PhD - Johns Hopkins University School of Medicine, Baltimore -
04:00pm - 04:02pm PT
Introductions
Speaker: Heng Li, PhD - Johns Hopkins University School of Medicine, Baltimore -
04:02pm - 04:13pm PT
Overview of Synthetic Images
Speaker: Heng Li, PhD - Johns Hopkins University School of Medicine, Baltimore -
04:13pm - 04:24pm PT
Synthetic Data in Radiological Imaging: Current State and Future Outlook
Speaker: Elena Sizikova, PhD - U.S. Food and Drug Administration, Silver Spring -
04:24pm - 04:35pm PT
Techniques and Applications of Synthetic Images in Radiation Oncology
Speaker: Jessica Scholey, PhD - The University of Pennsylvania, Philadelphia -
04:35pm - 04:46pm PT
QA and Safety Considerations for Synthetic Images
Speaker: Jing Wang, PhD - University of Texas Southwestern Medical Center, DALLAS -
04:46pm - 05:00pm PT
Questions and Answers
Speaker: Heng Li, PhD - Johns Hopkins University School of Medicine, Baltimore