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通过帧平均进行降噪:门静脉成像系统的数值模拟

Noise reduction by frame averaging: a numerical simulation for portal imaging systems.

作者信息

Swindell W, Mosleh-Shirazi M A

机构信息

Physics Department, Institute of Cancer Research, Sutton, Surrey, United Kingdom.

出版信息

Med Phys. 1995 Sep;22(9):1405-11. doi: 10.1118/1.597618.

Abstract

We have studied the usefulness of both pre- and post-ADC frame summing for the purpose of reducing the effect of quantum noise and digitization noise in portal imaging systems. The study is based on the fluorescent-screen video-camera type of system. The study predicts the not-surprising result that provided the noise level at the ADC input is sufficiently large, the overall SNR can be increased by a factor of square root of M1M2, where M1 and M2 are the number of frames summed before and after the ADC. The study also predicts, somewhat unexpectedly, that there is an operating region in which increasing M1 actually decreases the SNR in the final image. To avoid this region M1 must be less than approximately 6 x 2(2B) (1 + -delta-1)1/2/(iaccf), where B is the number of ADC bits, -delta is the mean number of optical photons detected by the video camera per detected x-ray photon, iacc is the open-field number of detected x-ray photons per accelerator pulse per pixel, and f is the patient transmission factor. An equivalent statement is that the rms noise at the input to the ADC, sigma in, must exceed approximately 0.4q where q is the quantization interval of the ADC. It is possible that some systems operate in or close to this region. A second feature of this anomalous behavior is that the final image is not necessarily improved by increasing the number M2 of post-ADC-summed frames. For example, when sigma in/q = 0.2, there is no improvement in the overall rms error for M2 > 32.(ABSTRACT TRUNCATED AT 250 WORDS)

摘要

我们研究了在门静脉成像系统中,ADC 帧求和前后对于降低量子噪声和数字化噪声影响的作用。该研究基于荧光屏摄像机类型的系统。研究预测了一个并不意外的结果:如果 ADC 输入处的噪声水平足够大,整体信噪比可以提高到(\sqrt{M_1M_2})倍,其中(M_1)和(M_2)分别是 ADC 之前和之后求和的帧数。该研究还预测了一个有点意外的结果:存在一个操作区域,在该区域中增加(M_1)实际上会降低最终图像的信噪比。为避免该区域,(M_1)必须小于约(6×2^{(2B)}(1 + \delta^{-1})^{1/2}/(i_{acc}f)),其中(B)是 ADC 的位数,(\delta)是视频摄像机每检测到一个 X 射线光子所检测到的光学光子的平均数,(i_{acc})是每个加速器脉冲每个像素检测到的 X 射线光子的开放场数,(f)是患者传输因子。等效的表述是,ADC 输入处的均方根噪声(\sigma_{in})必须超过约(0.4q),其中(q)是 ADC 的量化间隔。可能有些系统在这个区域内或接近这个区域运行。这种异常行为的另一个特点是,增加 ADC 后求和帧数(M_2)不一定能改善最终图像。例如,当(\sigma_{in}/q = 0.2)时,对于(M_2 > 32),整体均方根误差并无改善。(摘要截取自250字)

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