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Program Information

Advancements in MRI and MR-Guided Interventions

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N Chen

J Cai

E Jackson




N Chen1*, J Cai2*, E Jackson3*, (1) The University of Arizona, Tucson, AZ, (2) Duke University Medical Center, Durham, NC, (3) University of Wisconsin, Madison, WI

Presentations

1:00 PM : High-resolution diffusion weighed imaging technologies - N Chen, Presenting Author
1:40 PM : Advances in MRI-based motion management for radiation therapy - J Cai, Presenting Author
2:20 PM : The Translation from Qualitative Assessments to Quantitative Measurements: Why and How - E Jackson, Presenting Author

TH-EF-FS4-0 (Thursday, August 3, 2017) 1:00 PM - 3:00 PM Room: Four Seasons 4


MRI is playing an increasingly important role in both diagnostic imaging and radiation therapy. There have been significant advances in MRI and MRI-guided interventions in recent years, including but not limited to 4D-MRI, MR/Linac, super resolution MRI, quantitative MRI. These new MRI advances hold great promises in enhancing diagnosis and treatment of various malignances. There is a strong interest in the medical physics community in learning these new advances, understanding their principles as well as their clinical applications.

This session focuses on the development of 4D-MRI technology and its clinical applications in radiotherapy of abdominal cancers. Various strategies of 4D-MRI such as compressed sensing and novel k-space trajectories will be included, as well as MRI-based motion management and treatment planning. Ultra-resolution diffusion MRI will be introduced and its efficacy in resolving sub-millimeter image features will be described. Quantitative imaging and image analysis are of great important for MRI and MRI-guidance and will be discussed in the context of clinical applications.

Learning Objectives:
1. Understand the various approaches in development of 4D-MRI and their pros and cons.
2. Understand the principles and clinical applications of ultra-resolution diffusion MRI.
3. Understand the important and current development in quantitative MRI imaging.


Funding Support, Disclosures, and Conflict of Interest: R21CA165384

Handouts


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