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Why do anatomic backgrounds reduce lesion detectability?

机译:为什么解剖背景会降低病变的可检测性?

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RATIONALE AND OBJECTIVES: Developing metrics of medical image quality requires an understanding of how anatomic backgrounds reduce human visual detection performance. Visual psychophysics has shown that there are two distinct ways in which a complex background can degrade performance: (1) the presence of a deterministic high-contrast background, (2) variability in the background from location to location. The authors investigated how these two sources of performance degradation reduce human visual performance locating a lesion in anatomic backgrounds. METHODS: Human performance localizing a disk-shaped lesion in one of four locations (four alternative forced choice) was measured for three background conditions. In the first condition the background was a uniform gray. In the second condition (the repeated background condition) an anatomic background was sampled on each trial and used as a background for the four possible lesion locations. In the third condition (the different background condition) four different anatomic backgrounds were sampled on each trial and used for the four possible lesion locations. Test images consisted of computer simulated lesions mathematically projected on digital x-ray coronary angiograms. RESULTS: For five levels of lesion contrast, visual detection performance for two observers decreased significantly from the uniform background condition to the repeated background condition, and decreased even further for the different background condition. CONCLUSIONS: Study results show that both the presence of a deterministic high-contrast background and the background variations contribute to performance degradation of human visual detection of signals in anatomic backgrounds.
机译:理由和目的:建立医学图像质量的度量标准需要了解解剖背景如何降低人类视觉检测性能。视觉心理物理学表明,有两种不同的方法可以使复杂的背景降低性能:(1)确定性的高对比度背景的存在;(2)背景在不同位置之间的可变性。作者研究了这两种性能下降的来源如何降低在解剖背景中定位病变的人类视觉性能。方法:在三个背景条件下,测量了将盘状病变定位在四个位置之一(四个替代强制选择)中的人体性能。在第一种情况下,背景为均匀的灰色。在第二种情况下(重复的背景条件),在每个试验中均采样了解剖背景,并将其用作四个可能病变部位的背景。在第三种情况(不同的背景条件)下,每个试验都采集了四个不同的解剖背景,并用于四个可能的病变部位。测试图像由数学模拟在数字X射线冠状动脉血管造影上投影的计算机模拟病变组成。结果:对于五个级别的病变对比,从均匀的背景条件到重复的背景条件,两个观察者的视觉检测性能显着下降,而在不同的背景条件下,视觉检测性能甚至进一步下降。结论:研究结果表明,确定性高对比度背景的存在和背景变化均会导致人类在解剖背景中视觉检测信号的性能下降。

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