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Advanced MRI: Novel Applications for Radiation Oncology

C Glide-Hurst1*, E Paulson2*, K Sheng3*, (1) Henry Ford Health System, Farmington Hills, MI, (2) Medical College of Wisconsin, Milwaukee, WI, (3) UCLA School of Medicine, Los Angeles, CA


(Tuesday, 7/31/2018) 8:30 AM - 9:30 AM

Room: Karl Dean Ballroom B1

MR-guided radiation therapy (MRgRT) has shown incredible promise for localization, real-time monitoring, and tumor tracking. MRgRT lends unprecedented opportunities to accurately target morphologically and functionally varying tumors, offering strong potential for increasing the therapeutic ratio of radiation therapy. The first talk in this session will introduce low-field multi-contrast multi-parametric image acquisition and image processing pipeline for improved targeting and to facilitate adaptive radiation therapy. In addition to morphology, MR-guided radiotherapy offers new opportunities to personalize radiotherapy based on dynamic imaging of the tumor microenvironment. The second talk will introduce strategies utilizing fully quantitative MR images to achieve a biologically adaptive MR-guided radiotherapy workflow. Finally, to implement MRgRT to its full potential, both the image acquisition and treatment planning speeds have to be significantly improved to take advantage of these opportunities. The final talk in the session will introduce the current state of fast MR imaging and treatment planning, as well as the future development to achieve the true real time MR guided radiation therapy.

Learning Objectives:
1. Describe strategically acquired sequence to facilitate multi-contrast qualitative and quantitative on-board MRI.
2. Describe a morphologically and biologically adaptive MR-guided radiotherapy workflow.
3. Understand strategies to generate biologically adaptive radiation treatment plans from fully quantitative MR images.
4. Introduce methods to overcome the physical and engineering factors limiting MRI acquisition speed.
5. Understand trade-offs between the planning speed and quality.

Funding Support, Disclosures, and Conflict of Interest: Research partially supported by the National Cancer Institute of the National Institutes of Health under Award Number R01CA204189. Research agreements with Philips Healthcare, ViewRay, Inc., and Modus Medical.



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