Abstract #4336

Frequency-Sensitive MRF (FS-MRF) for improved multi-tissue compartment modelling: a glimpse to tissue frequency from RF frequency

Xiaozhi Cao¹, Congyu Liao¹, Zhixing Wang^2,3, Rupsa Bhattacharjee⁴, Zheren Zhu⁴, Yang Yang⁴, Adam Kerr⁵, and Kawin Setsompop^1,5

¹Department of Radiology, Stanford University, Stanford, CA, United States, ²Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, ³Department of Radiation Oncology, City of Hope National Cancer Center, Los Angeles, CA, United States, ⁴Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States, ⁵Department of Electrical Engineering, Stanford University, Stanford, CA, United States

Synopsis

Keywords: New Signal Preparation Schemes, MR Fingerprinting

Motivation: Can we encode the tissue's frequency by using RF's frequency?

Goal(s): To distinguish tissue components based on their unique frequencies.

Approach: Based on 3D MRF technique, we introduced frequency-sensitive module by varying the RF's frequency TR-to-TR.

Results: We are able to simultaneously obtain T1, T2 and frequency maps, which help improve the image fedelity and quantitative accuracy. Furthermore, it could provide a tool to differentiate the tissue components based on their frequency.

Impact: If one is interested in quantifying tissues with a frequency shift compared to water, such as fat, myelin water and some amino acids, this paper can offer a brand new angle with its noval mechanism.

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