Abstract #1904

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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