Abstract #2017

Evaluating mean diffusivity and mean kurtosis derived from different diffusion-encoding schemes and signal-to-noise ratio

Chia-Wen Chiang¹, Shih-Yen Lin^1,2, Yi-Ping Chao³, Yeun-Chung Chang^4,5, Teh-Chen Wang⁶, and Li-Wei Kuo¹

¹Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan, ²Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan, ³Gradulate Institute of Medical Mechatronics, Chang Gang University, Taoyuan, Taiwan, ⁴Department of Medical Imaging, National Taiwan University Hospital, Taipei, Taiwan, ⁵Department of Radiology, National Taiwan University College of Medicine, Taipei, Taiwan, ⁶Department of Radiology, Taipei City Hospital Yang-Ming Branch, Taipei, Taiwan

Diffusion kurtosis imaging (DKI), evaluating the non-Gaussianity of water diffusion, has been demonstrated to be sensitive biomarker in many neurological diseases. However, number of repetition is one of the factors, but people is trying less to investigate it. In this study, normal rats were performed using two different diffusion scheme protocols (15 b-values with six diffusion directions vs. 3 b-values with thirty directions) and with different repetitions. Our results suggesting the protocol with one repetition provides good image quality for DKI analysis in this case.

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