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Empirical and theoretical examination of the noise performance of a prototype polycrystalline silicon active pixel array

闪烁噪声 有源矩阵 像素 噪音(视频) 计算机科学 相关双抽样 放大器 点间距 晶体管 电子工程 背板 电气工程 材料科学 CMOS芯片 光电子学 薄膜晶体管 电压 噪声系数 工程类 人工智能 计算机硬件 图像(数学) 复合材料 图层(电子)
作者
Qihua Zhao,Martin Koniczek,Larry E. Antonuk,Youcef El‐Mohri,Albert K. Liang
出处
期刊:Medical Imaging 2018: Physics of Medical Imaging 卷期号:: 20-20 被引量:2
标识
DOI:10.1117/12.2294571
摘要

Active matrix flat-panel imagers (AMFPIs), which typically incorporate a single a-Si:H thin-film transistor (TFT) in each pixel, have become ubiquitous in diagnostic x-ray imaging by virtue of many advantages, including good radiation damage resistance and the economic availability of monolithic, large area backplanes. However, under conditions of low exposure per image frame, such as encountered in fluoroscopy, digital breast tomosynthesis and breast cone-beam CT, AMFPI performance degrades due to the effect of additive noise primarily originating from the acquisition electronics. To overcome this limitation, while retaining the advantages of AMFPIs, large area imagers can be fabricated using polycrystalline silicon (poly-Si) TFTs configured to form in-pixel amplifiers. Such active pixel (AP) circuits provide signal enhancement prior to readout, thereby largely overcoming the effect of additive noise, as well as facilitating correlated multiple sampling (CMS). In this paper, early results of an examination of the noise performance of a poly-Si AP prototype array are reported. The array consists of pixel circuit designs incorporating a single-stage amplifier with three TFTs and was operated at 25 fps using CMS techniques. Noise performance is compared to results obtained from sophisticated circuit simulations which account for TFT thermal and flicker noise. Noise is found to depend on many variables, including the size of the source-follower TFT, the reset voltage, the addressing time and the sampling technique – with noise levels from individual pixels as low as 715 e. The circuit simulations were found to reproduce the trends for noise as a function of the aforementioned variables.
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