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Method for reducing noise in a series of fluoroscopic images by temporal filtering and spatial filtering

机译:通过时间滤波和空间滤波减少一系列透视图像中噪声的方法

摘要

In the field of medical imaging using fluoroscopy, a method for reducing noise in a sequence of fluoroscopic images acquired by an X-ray detector comprises for each image (xn) of the sequence: applying temporal filtering to the image (xn) at instant n, the temporal filtering comprising fluoroscopic noise reduction processing; applying spatial filtering to the image (yn) at instant n, the spatial filtering comprising: transforming the image (yn) acquired at the instant n from the spatial domain into the curvelet domain using a curvelet transform, each transformed image being represented by a set of coefficients, thresholding the coefficients of the image (yn) using a thresholding function, the thresholding function cancelling the coefficients below a third predetermined threshold, and preserving or adjusting the coefficients above the third predetermined threshold, transforming the image (Zn) whose coefficients have been thresholded from the curvelet domain into the spatial domain using an inverse curvelet transform.
机译:在使用荧光检查的医学成像领域,一种用于减少X射线探测器采集的荧光检查图像序列中的噪声的方法,对于该序列中的每个图像(xn),都包括:在第n个瞬间对图像(xn)进行时间滤波,时间滤波包括荧光镜降噪处理;在时刻n对图像(yn)进行空间滤波,该空间滤波包括:使用Curvelet变换将在时刻n所获取的图像(yn)从空间域转换为Curvelet域,每个变换后的图像由一个集合表示系数,使用阈值函数对图像(yn)的系数进行阈值处理,该阈值函数消除低于第三预定阈值的系数,并保留或调整高于第三预定阈值的系数,对系数具有使用逆Curvelet变换将其从Curvelet域阈值化为空间域。

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