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  • 學位論文

比較擴散張量成像和擴散峰度成像鑑別神經組織特徵的能力: 正常大鼠及高血壓大鼠腦部的研究

Comparison of diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) in neural tissue characterization: A rodent brain study on Sprague-Dawley (SD) and Spontaneously hypertensive rats (SHR)

指導教授 : 王福年

摘要


擴散張量成像(DTI)在臨床上已經被廣泛使用於診斷神經元損傷及預測神經系統疾病。但DTI無法使用於觀察非高斯擴散的情形,因此擴散峰度成像(DKI)被提出。DKI利用「峰度」的概念來量化非高斯擴散並反映擴散受到阻礙的程度,並且這個方法在未來幾年可能會應用於臨床。本研究的目的是比較DTI和DKI 描述神經組織特徵的能力。我們使用常用的DTI、使用6個b值的DKI和DTI三種方法獲得的參數,並將正常大鼠(SD)和高血壓大鼠(SHR)分組並進行三個模型之間分辨能力的比較。由結果發現DTI 計算得到的Dapp、擴散參數、擴散參數的範圍及變異都比DKI小。在解釋結果時,同時考慮擴散和峰度提供的資訊能使DKI分辨組織的能力提高。在分辨SD及SHR兩種不同品系的大鼠時,DKI能分辨出最多不同種類的組織,是分辨能力最佳的方法,而在分辨不同年齡的SHR時,6b DTI及DKI則是三者中分辨能力較佳的方法。此外,我們觀察大鼠內的組織異質性,並發現這個指標能用來分辨病理及正常組織,可能是有潛力的分辨方法。

並列摘要


Diffusion tensor imaging (DTI) has been used to identify neuronal injury and predict outcome of neurological disorders clinically. Yet this method is unable to investigate non-gaussian diffusion behavior. Diffusion Kurtosis Imaging (DKI) is proposed to probe non-gaussian diffusion property by measuring kurtosis, which reveals the degree of diffusion restriction, and might apply in clinic in the coming year. The aim of this study is to compare the abilities of neural tissue characterization between DTI and DKI models. We studied parameters derived from conventional DTI, DKI with 6 different b values, and DTI fitted with same dataset as DKI. We probed parameters and compared three approaches utilizing mean among rats and tissue heterogeneity with groups of Sprague-Dawley (SD) rats and Spontaneously hypertensive rats (SHR). Results show that DTI-derived Dapp, diffusivities, as well as range and variation of parameters are smaller than those derived from DKI. DKI demonstrates better ability when interpreting results with diffusivities and kurtoses. When it comes to telling apart SHR in different age, 6b DTI showed most significant difference among three approaches, closely followed by DKI, and the 2b DTI has the worst performance among three of them. Moreover, tissue heterogeneity of diffusivities may have potential to tell pathologic tissue from normal one.

並列關鍵字

DKI DTI tissue heterogeneity

參考文獻


1. Wu, E.X. and M.M. Cheung, MR diffusion kurtosis imaging for neural tissue characterization. NMR Biomed, 2010. 23(7): p. 836-48.
2. Lu, H., et al., Three-dimensional characterization of non-gaussian water diffusion in humans using diffusion kurtosis imaging. NMR Biomed, 2006. 19(2): p. 236-47.
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5. Niendorf, T., et al., Biexponential diffusion attenuation in various states of brain tissue: implications for diffusion-weighted imaging. Magn Reson Med, 1996. 36(6): p. 847-57.

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