A COMPARISON OF PHYSICAL IMAGE QUALITY INDEXES AND OBSERVER PERFORMANCE IN THE RADIOGRAPHIC DETECTION OF NYLON BEADS

A COMPARISON OF PHYSICAL IMAGE QUALITY INDEXES AND OBSERVER PERFORMANCE IN THE RADIOGRAPHIC DETECTION OF NYLON BEADS
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DOI:
10.1088/0031-9155/29/7/007
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发表时间:
1984-01-01
影响因子:
3.5
通讯作者:
METZ, CE
METZ, CE
中科院分区:
工程技术2区
文献类型:
--
作者:
LOO, LND;DOI, K;METZ, CE

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尽管已经提出了各种模型来尝试预测放射线图像在其物理特性方面的有用性,但之前的工作还没有表明单个物理图像质量指数(例如信噪比)是否可以可靠地预测人类观察者在广泛的图像特性上的表现。作者研究了射线照片中尼龙珠检测任务中物理图像质量和视觉图像质量之间的关系。考虑了 37 个具有不同物理图像特征组合的成像案例;其中包括物体尺寸和放大倍率、X射线束质量、屏幕-胶片系统、屏幕-胶片接触、胶片密度和照明以及观看距离的变化。对于每个成像案例,视觉图像质量根据 2AFC 视觉检测实验中观察者的表现进行量化。根据八种不同模型的检测过程计算物理图像质量指数;这些指数结合了有关物体尺寸和衰减、屏幕胶片系统 MTF、胶片梯度、噪声维纳谱和视觉系统响应的数据。这项工作的结果表明,对于所研究的条件,人类观察者的检测性能最接近于次优统计决策过程的性能。
Although various models have been proposed in an attempt to predict the usefulness of a radiographic image in terms of its physical characteristics, no previous work has shown whether a single physical image quality index, such as a signal-to-noise ratio, can reliably predict the performance of a human observer over a broad range of image characteristics. The authors studied the relationship between physical and visual image quality for the task of detecting nylon beads in radiographs. Thirty-seven imaging cases with different combinations of physical image characteristics were considered; these included variations in object size and magnification, X-ray beam quality, screen-film system, screen-film contact, film density and illumination, and viewing distance. For each imaging case, visual image quality was quantified in terms of observer performance in a 2AFC visual detection experiment. Physical image quality indices were calculated according to eight different models of the detection process; these indices combined data regarding object size and attenuation, screen-film system MTF, film gradient, noise Wiener spectrum, and visual system response. The results of this work indicate that, for the conditions studied, human observer detection performance most closely resembles that of a suboptimal statistical decision process.