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 |
| CAMPEP Credits: | 1.00 |
| MDCB Credits: | 1.00 |
Presentations
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04:00pm - 04:02pm PTSpeaker: Heng Li, PhD - Johns Hopkins University School of Medicine, Baltimore
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04:02pm - 04:13pm PTSpeaker: Heng Li, PhD - Johns Hopkins University School of Medicine, Baltimore
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04:13pm - 04:24pm PTSpeaker: Jessica Scholey, PhD - The University of California San Francisco, San Francisco
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04:24pm - 04:34pm PTSpeaker: Brandon Nelson, PhD - US Food and Drug Administration (FDA), Silver Spring
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04:34pm - 04:45pm PTSpeaker: Jing Wang, PhD - University of Texas Southwestern Medical Center, DALLAS
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04:45pm - 04:59pm PTSpeaker: Heng Li, PhD - Johns Hopkins University School of Medicine, Baltimore