Novel use of differential image velocity invariants to categorize ciliary motion defects
Novel use of differential image velocity invariants to categorize ciliary motion defects
复制标题
新颖地使用差分图像速度不变量对纤毛运动缺陷进行分类
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
C. Chennubhotla
中科院分区：
文献类型：
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作者：
Shannon P. Quinn;Richard Francis;C. Lo;C. Chennubhotla
原发性纤毛运动障碍（PCD）是一种呼吸道上皮细胞纤毛运动缺陷引起的以呼吸系统疾病为特征的疾病。PCD诊断评估的第一步是使用高速视频显微镜分析鼻上皮活检中的纤毛搏动模式。这包括定量评估纤毛搏动频率（CBF，其中< 11 Hz的CBF被称为进一步诊断），然后目视检查纤毛搏动模式以检测运动障碍运动的存在，例如僵硬、不完整、波浪状等。这两种程序都缺乏标准化的协议，因此CBF通常通过观察慢动作中的睫状图像帧来手动计数，而搏动模式的手动检查是主观的、繁琐的并且容易出错。我们正在构建自动图像分析方法来解决这个问题。为此，我们报告使用的图像速度测量CBF和证明的差分图像速度不变量，卷曲和变形，在反卷积的各种运动缺陷的有效性。
Primary ciliary dyskinesia (PCD) is a disorder characterized by sinopulmonary disease arising from ciliary motion defects in respiratory epithelia. An essential first step in the diagnostic evaluation of PCD is the use of high-speed videomicroscopy to analyze ciliary beat patterns in nasal epithelia biopsies. This includes a quantitative assessment of ciliary beat frequency (CBF, where CBF of < 11 Hz is referred to further diagnosis), followed by a visual examination of ciliary beat patterns to detect the presence of dyskinetic motions, such as stiff, incomplete, wavy and others. Both procedures lack standardized protocols, hence CBF is often counted manually by observing the ciliary image frames in slow motion, while a manual examination of beat patterns is subjective, cumbersome, and error-prone. We are building automated image analysis methods to address this problem. To this end, we report the use of image velocities for measuring CBF and demonstrate the effectiveness of the differential image velocity invariants, curl and deformation, in deconvolving the various motion defects.
DOI：
10.1164/rccm.200303-365oc
发表时间：
2004-02-15
影响因子：
24.7
作者：
Noone, PG;Leigh, MW;Knowles, MR
通讯作者：
Knowles, MR