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Contrast matching techniques for digital subtraction radiography: an objective evaluation.

机译:数字减影射线照相的对比度匹配技术:一项客观评估。

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摘要

Digital subtraction radiography (DSR) enables the detection of subtle early detrimental effects of periodontal disease as well as the evaluation of the effects of therapy. However, the differences between two radiographs due to alignment and contrast errors must be kept at minimum. In the present in vitro study we test the efficacy of three basic contrast correction methods in the reduction of contrast mismatches which can adversely affect a subtracted image. The ODTF (Optical Density Thickness Function) method, which is based on a function relating grey level values of the aluminium wedge image and the corresponding thickness of the wedge, induced less contrast correction error than the CDF (Cumulative Density Function) and the LSQA (Least Square Quadratic Approximation) methods. Moreover, CDF, ODTF, and LSQA functions obtained from the reference structure density distribution may be applied for objective contrast enhancements and for standardisation of image quality, while the ODTF function allows also bone change volume estimations.
机译:数字减影X射线摄影(DSR)可以检测牙周疾病的细微早期有害影响,并评估治疗效果。然而,由于对准和对比度误差造成的两个射线照片之间的差异必须保持最小。在目前的体外研究中,我们测试了三种基本的对比度校正方法在减少对比度失配方面的功效,该方法可能会对消减图像产生不利影响。 ODTF(光学密度厚度函数)方法基于与铝楔形图像的灰度值和相应的楔形厚度相关的函数,与CDF(累积密度函数)和LSQA(最小二乘平方近似法)。此外,从参考结构密度分布获得的CDF,ODTF和LSQA函数可用于客观对比度增强和图像质量的标准化,而ODTF函数还允许进行骨变化量估计。

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