Abstract #3007

Enhanced efficiency and sensitivity in detection of acute ischemic brain injury using fast diffusion kurtosis imaging

Yin Wu^1,2, Jinsuh Kim³, Suk-Tak Chan¹, Iris Yuwen Zhou¹, Yingkun Guo¹, Takahiro Igarashi¹, Hairong Zheng², Gang Guo⁴, and Phillip Zhe Sun¹

¹Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States, ²Paul C. Lauterbur Research Centre for Biomedical Imaging, Shenzhen Key Laboratory for MRI, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, People's Republic of, ³Department of Radiology, University of Illusions at Chicago, Chicago, IL, United States, ⁴Department of Radiology, Xiamen 2nd Hospital, Xiamen, China, People's Republic of

We systematically compare the diagnostic value of conventional tensor-based DKI and recently proposed fast DKI protocols using an acute stroke rodent model. The measures and volumes of diffusion and kurtosis lesions were in good agreement between the two DKI methods. Importantly, contrast-to-noise ratio (CNR) of mean kurtosis using the fast DKI protocol was significantly higher than that of the routine method with its CNR efficiency approximately doubles. Therefore, our results demonstrated excellent performance of the fast DKI protocol in characterizing acute ischemic tissue injury, which may facilitate translation of the fast DKI approach in the acute stroke setting.

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