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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