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Abstract #3391

Validation of Sensitivity of Fast Kurtosis Measurements to Tissue Microstructural Changes

Ting Gong1, Mu Lin1, Hongjian He1, Qiuping Ding1, and Jianhui Zhong1

1Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, Zhejiang University, Hangzhou, People's Republic of China

Diffusional kurtosis imaging (DKI) is a significant extension of diffusion tensor imaging, providing sensitive biomarkers to diseases at the cost of lengthy acquisition and post-processing time. Fast DKI method operating with kurtosis tensor and based on axially symmetric approximation was then proposed to overcome the disadvantage. To explore the clinical utility of fast DKI, a Monte Calo simulation was conducted on a tissue model to validate the sensitivity of fast kurtosis measurements to four microstructural changes. The results suggest that fast DKI method is reliable with reduced scan time but considerable sensitivity to microstructural Changes frequently occurred in neurological diseases.

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