(Monday, 7/13/2020) 1:00 PM - 2:00 PM [Eastern Time (GMT-4)]
Room: Track 5
MR images have different weighting contrasts (T1-w, T2-w, T2/T1-w, diffusion weighted, etc.) and each of them presents a unique set of image characteristics that can be desirable for a particular clinical application. For example, T2-w MRI and diffusion weighted image (DWI) provide excellent tumor contrast for liver and pancreatic cancers; and T2/T1-w MR images features high blood vessel signal. In current clinical practice, despite different weighting contrast MR images are acquired, they are used in a rather isolated manner. In the era of precision machine, it is importantly to have a comprehensive understanding of the characterizations and limitations of multiparametric MRI techniques in order to take full advantage of its rich information for optimal radiotherapy applications.
This proposed session will covers the essential knowledge of the physics (pulse sequences, image acquisition strategies, image processing techniques) and radiotherapy applications (simulation, planning and assessment) of parametric MRI technology. Speakers include imaging physicist, therapy physicist, and radiation oncologist. Extra attention will be given to the specific considerations in radiotherapy, such as motion artifacts, geometric accuracy, image registration, etc. Novel simultaneous multiparametric MR techniques, such as MR Fingerprinting (MRF), will also be introduced and their potential impact will be discussed. The proposed session should provide the attendees a clear yet comprehensive review of the most relevant multiparametric MR techniques in the era of precision radiotherapy. This proposal is sponsored by the Imaging for Treatment Assessment Work Group.
Learning Objectives:
1. Understand the physical principles of parametric MRI pulse sequences, the main types and their characterizations.
2. Discuss the differences in image acquisition strategy of different multiparametric MRI techniques for different radiotherapy applications.
3. Learn the limitations of current MRI techniques and the promises of novel multiparametric MR techniques.
Funding Support, Disclosures, and Conflict of Interest: NIH R01 EB028324, NIH R01 CA226899, GRF 151021/18M, GRF 151022/19M and HMRF 06173276
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