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MicroComputed Tomography with a Photon-Counting X-Ray Detector

机译:带有光子计数X射线探测器的微型计算机断层扫描

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In this work we used a novel CdTe photon counting x-ray detector capable of very high count rates to perform x-ray micro-computed tomography (microCT). The detector had 2 rows of 384 square pixels each 1 mm in size. Charge signals from individual photons were integrated with a shaping time of ~60 ns and processed by an ASIC located in close proximity to the pixels. The ASIC had 5 energy thresholds with associated independent counters for each pixel. Due to the thresholding, it is possible to eliminate dark-current contributions to image noise. By subtracting counter outputs from adjacent thresholds, it is possible to obtain the number of x-ray photon counts in 5 adjacent energy windows. The detector is capable of readout times faster than 5 ms. A prototype bench-top specimen μCT scanner was assembled having distances from the tube to the object and detector of 11 cm and 82 cm, respectively. We used a conventional x-ray source to produce 80 kVp x-ray beams with tube currents up to 400 μA resulting in count rates on the order of 600 kcps per pixel at the detector. Both phantoms and a dead mouse were imaged using acquisition times of 1.8 s per view at 1° steps around the object. The count rate loss (CRL) characteristics of the detector were measured by varying the tube current and corrected for using a paralyzable model. Images were reconstructed using analytical fan-beam reconstruction. The reconstructed images showed good contrast and noise characteristics and those obtained from different energy windows demonstrated energy-dependent contrast, thus potentially allowing for material decomposition.
机译:在这项工作中,我们使用了一种新型的CdTe光子计数X射线探测器,该探测器能够以非常高的计数率执行X射线微计算机断层扫描(microCT)。该检测器具有2行384平方像素,每行1毫米。来自各个光子的电荷信号以约60 ns的整形时间进行积分,并由紧邻像素的ASIC处理。 ASIC具有5个能量阈值,每个像素均具有相关的独立计数器。由于阈值,可以消除暗电流对图像噪声的影响。通过从相邻阈值中减去计数器输出,可以获取5个相邻能量窗口中X射线光子计数的数量。检测器的读取时间快于5 ms。组装了一个原型台式标本μCT扫描仪,从试管到物体和检测器的距离分别为11 cm和82 cm。我们使用传统的X射线源产生80 kVp的X射线束,其管电流高达400μA,从而在检测器上的计数速率约为每个像素600 kcps。幻影和死老鼠都使用了围绕对象1°步距的每次视图1.8 s的采集时间进行成像。通过改变管电流来测量检测器的计数率损失(CRL)特性,并使用可瘫痪模型进行校正。使用分析扇形束重建来重建图像。重建的图像显示出良好的对比度和噪声特性,并且从不同的能量窗口获得的图像显示出与能量有关的对比度,因此潜在地允许材料分解。

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