计算机工程与应用Issue(1)：159-162,4.DOI:10.3778/j.issn.1002-8331.1202-0512
一种新的ASL图像去噪方法研究
New Arterial Spin Labeling image denoising method research
摘要
Abstract
Arterial Spin Labeling(ASL)MR images suffer from low SNR. In order to achieve adequate high image quality, it is necessary to execute experiment a number of times repeatedly. 3D Gaussian filter is widely in clinical use but the fil-ter effect is not good enough. A new ASL image denoising algorithm based on Non-Local Means(NLM)denoising meth-od is proposed. The new denoising method uses region similarity weight to decrease SNR and increases the accuracy of Cerebral Blood Flow(CBF)map. The results of CBF maps indicate that the CBF map obtained by the proposed method is more close to the real result than the Gaussian smoothing, which realizes the goal of obtaining accurate CBF map in the case of less repeated times.关键词
非局部均值方法(NLM)/高斯滤波/动脉自旋标记(ASL)/图像去噪Key words
Non-Local Means(NLM)/Gaussian filtering/Arterial Spin Labeling(ASL)/image denoising分类
信息技术与安全科学引用本文复制引用
刘灿,高燕华,喻罡,徐效文,张明..一种新的ASL图像去噪方法研究[J].计算机工程与应用,2014,(1):159-162,4.基金项目
国家自然科学基金（No.81000635）。 （）
