Brain Tissue Clustering Based on Cross-Correlation of Magnetic Resonance Fingerprinting
Mu Lin1, Xiaozhi Cao1, Congyu Liao1, Xu Yan2, and Jianhui Zhong1
1Center for Brain Imaging Science and Technology, Zhejiang University, Hangzhou, China, People's Republic of, 2MR Collaboration NE Asia, Siemens Healthcare, Hangzhou, China, People's Republic of
Multi-component tissue model with priori T1 and T2
have been used to decompose MRF data. We propose that tissue classification can
be improved when the selection uses clustering method based on
cross-correlation. Our results from phantom and in vivo measurements show that
the method successfully separates signal from different tissue types, allows
extraction of tissue fractions, and results are more robust with image quality.
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