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Abstract #2024

Extraction of Tissue-Specific ADC Based on Multi-Exponential T2 Analysis

Qiqi Tong1, Mu Lin1, Hongjian He1, Xu Yan2, Thorsten Feiweier3, Hui Liu2, and Jianhui Zhong1

1Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, Zhejiang University, Hangzhou, China, People's Republic of, 2MR Collaboration NE Asia, Siemens Healthcare, Shanghai, China, People's Republic of, 3Siemens Healthcare, Erlangen, Germany

Multi-component diffusion models with each component of its own T2 value have been studied previously. When the diffusion signal is decomposed into three compartments (short, intermediate and long T2), the respective ADC values can be obtained. Our results from simulations and in vivo measurements show that the model successfully separates signal from different tissue types, allows extraction of tissue-specific ADC, and results are mostly free of partial volume problem. Moreover, an ADC without T2 effect can also be generated by combining the ADCs of all components.

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