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多b值弥散加权成像的综合应用研究 被引量:7

A Comprehensive Application Research of Multi b Value Diffusion Weighted Imaging
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摘要 该研究介绍了一种分析人大脑水分子弥散信息的新方法。该方法通过综合利用多b值的弥散加权成像信息,使用新的算法,计算出一个新的弥散参数(Rd),并重建出该参数的图像。在对25名正常成人脑组织的定量研究结果表明,相比于表观弥散系数(ADC),该方法能明显提高弥散图像的信噪比,有效区分大脑不同组织结构,提高了对水分子弥散运动的敏感性。 This research introduces a new method to analyze the diffusion information of human brain.By use of the multi b value diffusion data and a new algorithm,a new diffusion parameter(Rd) was computed,and a new image was reconstructed.Through quantitative research on the brains of 25 normal adults,the new method can improve the signal-to-noise ratio(SNR) apparently and distinguish the different brain tissues effectively,compared to the apparent diffusion coefficient.The new method can improve the sensitivity to diffusion.
出处 《生物医学工程学杂志》 EI CAS CSCD 北大核心 2010年第1期37-41,共5页 Journal of Biomedical Engineering
基金 卫生部部属(管)医院临床学科重点项目资助
关键词 弥散加权成像 B值 Diffusion-weighted Imaging(DWI) b-value Brain
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参考文献10

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共引文献198

同被引文献84

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