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Image quality assessment of a photon counting detector in X-ray projection imaging

机译:X射线投影成像中光子计数检测器的图像质量评估

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The recent advancements in the photon counting detection have created a significant growing research interest in the x-ray imaging. It is essential to objectively understand the image quality parameters of a photon counting detector before developing imaging applications. In this work, we have assessed the imaging quality of a cadmium telluride (CdTe) based PCD in projection imaging mode. The detector is 70.4 mm x 6.6 mm dimensions. The detector has a pixel array of 64x4 with a pixel pitch of 1.1 mm x 1.65 mm. With each pixel having 4 channels in its corresponding ASIC, this PCD can create three bin images from a single projection. With a microfocus x-ray source, the imaging quality in each bin image was measured in terms of the spatial resolution, noise, and contrast to noise ratio (CNR). We used 70 kV, 50 mu A, 10 s (0.5mAs) with 0.5mm thick aluminum (Al) filter for the acquisition of each image. The MTF curves indicated that the spatial resolution for the bin-1, bin-2, and bin-3 was almost identical. The NNPS curves indicated that the noise in bin 1 and bin 2 images was almost the same for all frequencies while bin 3 image had relatively less noise. The CNR analyses showed that the bin-1 image had the highest CNR. As the flux was increased from 0.5 to 1 mAs, the number of detected counts also increased that resulted in the CNR increase. Beyond this flux, the pulse pile-up occurred due to which multiple counts were read as single that resulted in few detected counts and lower CNR. The knowledge of the spatial resolution, noise, and CNR in terms of energy binning allows the determination and optimization of imaging techniques necessary for various applications.
机译:光子计数检测的最新进展已引起人们对X射线成像越来越大的研究兴趣。在开发成像应用之前,客观地了解光子计数检测器的图像质量参数至关重要。在这项工作中,我们评估了在投影成像模式下基于碲化镉(CdTe)的PCD的成像质量。检测器尺寸为70.4毫米x 6.6毫米。该检测器具有64 x 4的像素阵列,像素间距为1.1 mm x 1.65 mm。每个像素在其相应的ASIC中具有4个通道,因此该PCD可以从单个投影创建三个bin图像。使用微焦点x射线源,可以根据空间分辨率,噪声和对比度与噪声比(CNR)来测量每个bin图像中的成像质量。我们使用70 kV,50μA,10 s(0.5mAs)和0.5mm厚的铝(Al)滤波器来采集每个图像。 MTF曲线表明bin-1,bin-2和bin-3的空间分辨率几乎相同。 NNPS曲线表明,仓1和仓2图像中的噪声对于所有频率几乎相同,而仓3图像中的噪声相对较小。 CNR分析表明bin-1图像具有最高的CNR。随着通量从0.5 mAs增加到1 mAs,检测到的计数数量也增加,导致CNR增加。超出此通量,发生脉冲堆积,这是因为将多个计数读取为单个,导致检测到的计数很少且CNR较低。关于能量分档的空间分辨率,噪声和CNR的知识,可以确定和优化各种应用程序所需的成像技术。

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