Automated assessment of the quality of diffusion tensor imaging data using color cast of color-encoded fractional anisotropy images.

Automated assessment of the quality of diffusion tensor imaging data using color cast of color-encoded fractional anisotropy images.
复制标题

DOI:
10.1016/j.mri.2014.01.013
复制
发表时间:
2014-06
影响因子:
2.5
通讯作者:
Xu D
Xu D
中科院分区:
医学4区
文献类型:
--
作者:
He X;Liu W;Li X;Li Q;Liu F;Rauh VA;Yin D;Bansal R;Duan Y;Kangarlu A;Peterson BS;Xu D

文献摘要

参考文献

被引文献

相似文献

弥散张量成像(DTI)数据经常遭受由运动引起的伪影。这些伪影在婴儿的DTI数据中尤其严重,因此对婴儿的DTI研究实施严格的质量控制是必要的。目前,常规程序的DTI数据的质量保证涉及的切片视觉检查的颜色编码,分数各向异性(CFA)的图像。这样的程序通常在不同的数据集之间、在检查这些数据集的不同操作员之间、有时甚至在同一操作员在两个不同场合检查同一数据集的时间之间产生不一致的结果。我们提出了一个更一致的,可靠的,有效的方法来评估CFA图像的质量自动使用其偏色,这是计算上的分布统计的颜色空间中的二维直方图定义的国际照明委员会(CIE)的亮度和a和B(LAB)的颜色对手的尺寸(也称为CIELAB颜色空间)的图像。实验结果表明,该方法快速、准确。因此,该方法提供了一个新的工具,实时DTI数据的质量保证。
Diffusion Tensor Imaging (DTI) data often suffer from artifacts caused by motion. These artifacts are especially severe in DTI data from infants, and implementing tight quality controls is therefore imperative for DTI studies of infants. Currently, routine procedures for quality assurance of DTI data involve the slice-wise visual inspection of color-encoded, fractional anisotropy (CFA) images. Such procedures often yield inconsistent results across different datasets, across the different operators who are examining those datasets, and sometimes even across time when the same operator inspects the same dataset on two different occasions. We propose a more consistent, reliable, and effective method to evaluate the quality of CFA images automatically using their color cast, which is calculated on the distribution statistics of the 2D histogram in the color space as defined by the International Commission on Illumination (CIE) on lightness and a and b (LAB) for the color-opponent dimensions (also known as the CIELAB color space) of the images. Experimental results using DTI data acquired from neonates verified that this proposed method is rapid and accurate. The method thus provides a new tool for real-time quality assurance for DTI data.
DOI: 10.1002/mrm.20426
发表时间: 2005-05-01
影响因子: 3.3
作者:
Chang, LC;Jones, DK;Pierpaoli, C
通讯作者: Pierpaoli, C
DOI: 10.1002/mrm.10531
发表时间: 2003-08-01
影响因子: 3.3
作者:
Miller, KL;Pauly, JM
通讯作者: Pauly, JM
DOI: 10.1016/j.jmr.2011.09.022
发表时间: 1996-06-01
期刊: JOURNAL OF MAGNETIC RESONANCE SERIES B
影响因子: --
作者:
Basser, PJ;Pierpaoli, C
通讯作者: Pierpaoli, C
椭圆形面积比:扩散张量成像的替代各向异性指数。
DOI: 10.1016/j.mri.2008.07.018
发表时间: 2009-04
影响因子: 2.5
作者:
Xu, Dongrong;Cui, Jiali;Bansal, Ravi;Hao, Xuejun;Liu, Jun;Chen, Weidong;Peterson, Bradley S.
通讯作者: Peterson, Bradley S.
DOI: 10.1002/mrm.1910360620
发表时间: 1996-12-01
影响因子: 3.3
作者:
Haselgrove, JC;Moore, JR
通讯作者: Moore, JR