Abstract #4450

Experimental Validation of Augmented Fractional MR Fingerprinting

Lixian Zou^1,2, Haifeng Wang¹, Huihui Ye³, Shi Su¹, Xin Liu¹, and Dong Liang^1,4

¹Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, ²Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen, China, ³State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Zhejiang, China, ⁴Research Center for Medical AI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

Magnetic resonance fingerprinting is a time-efficient acquisition and reconstruction framework to provide simultaneous measurements of multiple parameters including the T₁ and T₂ maps. The accuracy of the mapping dictionary of MRF is very important for its clinical applications. In this work, we validated the dictionary performance of the augmented fractional order Bloch equations on MRF in the experimental phantom study. Representative results of experimental phantom demonstrate that the utilization of the augmented fractional model is able to improve the accuracy of the T₁ and T₂ values.

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