一种用于乳房x光检查的新型晶圆级CMOS APS x射线探测器的评估

A. Konstantinidis, Yi Zheng, A. Olivo, K. Bliznakova, M. Yip, T. Anaxagoras, K. Wells, N. Allinson, R. Speller
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引用次数: 4

摘要

影响图像质量的最重要因素是对比度、空间分辨率和噪声。通过对比噪声比(CNR)、信噪比(SNR)、调制传递函数(MTF)、噪声功率谱(NPS)和检测量子效率(DQE)参数定量描述了这些因素及其关系。信噪比、MTF和NPS的组合决定了DQE,它代表了在给定剂量下可视化一定尺寸和对比度的物体细节的能力。在本研究中,研究了一种新型的大面积互补金属氧化物半导体(CMOS)有源像素传感器(APS) x射线探测器,称为DynAMITe(医学成像技术动态范围可调),并在物理特性和图像质量评估方面与其他三种数字乳房x线摄影系统(即a)大面积传感器(LAS), b) Hamamatsu C9732DK和c) Anrad SMAM)进行了比较。炸药探测器由两个几何叠加的网格组成:a) 2560 × 2624像素在50 11m间距,称为子像素(SP相机)和b) 1280 × 1312像素在100 11m间距,称为像素(P相机)。DynAMITe SP探测器的x射线性能评价显示出较高的DQE结果(在0.5 Ip/mm时为0.58 ~ 0.64)。基于探测器x射线性能的图像模拟用于预测和比较乳房x线摄影图像质量,使用理想的软件幻象:a)一个代表两个不同厚度和腺体的三维(3d)乳房,以估计模拟微钙化与背景之间的CNR, b) CDMAM 3.4测试工具用于小厚度和低对比度物体的对比度细节分析。结果表明,DynAMITe SP探测器具有较高的信噪比和对比度。
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Evaluation of a novel wafer-scale CMOS APS X-ray detector for use in mammography
The most important factors that affect the image quality are contrast, spatial resolution and noise. These factors and their relationship are quantitatively described by the Contrast-to-Noise Ratio (CNR), Signal-to-Noise Ratio (SNR), Modulation Transfer Function (MTF), Noise Power Spectrum (NPS) and Detective Quantum Efficiency (DQE) parameters. The combination of SNR, MTF and NPS determines the DQE, which represents the ability to visualize object details of a certain size and contrast at a given dose. In this study the performance of a novel large area Complementary Metal-Oxide-Semiconductor (CMOS) Active Pixel Sensor (APS) X-ray detector, called DynAMITe (Dynamic range Adjustable for Medical Imaging Technology), was investigated and compared to other three digital mammography systems (namely a) Large Area Sensor (LAS), b) Hamamatsu C9732DK, and c) Anrad SMAM), in terms of physical characteristics and evaluation of the image quality. DynAMITe detector consists of two geometrically superimposed grids: a) 2560 × 2624 pixels at 50 11m pitch, named Sub-Pixels (SP camera) and b) 1280 × 1312 pixels at 100 11m pitch, named Pixels (P camera). The X-ray performance evaluation of DynAMITe SP detector demonstrated high DQE results (0.58 to 0.64 at 0.5 Ip/mm). Image simulation based on the X-ray performance of the detectors was used to predict and compare the mammographic image quality using ideal software phantoms: a) one representing two three dimensional (3-D) breasts of various thickness and glandularity to estimate the CNR between simulated microcalcifications and the background, and b) the CDMAM 3.4 test tool for a contrast-detail analysis of small thickness and low contrast objects. The results show that DynAMITe SP detector results in high CNR and contrast-detail performance.
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