Moderator: Iain Kirkpatrick

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Quantitative Ultrasound in Chronic Liver Disease: What Radiologists Needs to Know
An Tang

Quantitative ultrasound (QUS) aims at quantifying interactions between ultrasound and biological tissues. QUS techniques extract physical properties of tissues based on interactions between ultrasound waves and tissue microstructure. These techniques provide quantitative information on sub-resolution properties that are not visible on grayscale (B-mode) imaging. Recently, major ultrasound manufacturers have released speed of sound, attenuation, and backscatter packages for tissue characterization and imaging. Elastography is also increasingly used clinically. This educational review wil focus on QUS for assessment of chronic liver disease. For each major QUS technique, topics include: concept, illustrations, clinical examples, pitfalls, interpretation, and reporting. We will provide practical guidance for radiologists.

By the end of this session, participants should be better able to:
- Explain the physical concept of quantitative ultrasound techniques.
- Describe commercially available quantitative ultrasound techniques.
- Recognize how to interpret quantitative ultrasound measurements.

Click below to complete the evaluation for this session
SESSION EVALUATION

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What’s New Body MRI
Iain Kirkpatrick

The advent of parallel imaging in the mid-to-late 2000s allowed for significant improvements in body MRI protocols, bringing the acquisition time of many pulse sequences within that of a breath hold for most patients.  In the first half of the 2020s, we now have a number of new additional techniques which allow for the significant acceleration of scan acquisition.  These include image data postprocessing to remove noise powered by artificial intelligence, simultaneous multislice acquisition of fast/turbo spin echo sequences, and compressed sensing techniques.  This presentation will explain the principles behind these techniques in an accessible fashion, as well as outline the benefits and drawbacks to their use.

By the end of this session, participants should be better able to:
- Describe how artificial-intelligence based noise reduction algorithms, simultaneous mutlislice acquisition techniques and compressed sensing sequences work.
- Discuss the relative benefits and potential drawbacks to the utilization of these techniques in their body MRI protocols.

Click below to complete the evaluation for this session
SESSION EVALUATION

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Q&A