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Abstract #2017

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

Chia-Wen Chiang1, Shih-Yen Lin1,2, Yi-Ping Chao3, Yeun-Chung Chang4,5, 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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