School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou str., Zografos, 15780, Athens, Greece.
Dentomaxillofac Radiol. 2010 Jul;39(5):300-13. doi: 10.1259/dmfr/57585722.
Contrast correction is often required in digital subtraction radiography when comparing medical data acquired over different time periods owing to dissimilarities in the acquisition process. This paper focuses on dental radiographs and introduces a novel approach for correcting the contrast in dental image pairs. The proposed method modifies the subject images by applying typical registration techniques on their histograms. The proposed histogram registration method reshapes the histograms of the two subject images in such a way that these images are matched in terms of their contrast deviation. The method was extensively tested over 4 sets of dental images, consisting of 72 registered dental image pairs with unknown contrast differences as well as 20 dental pairs with known contrast differences. The proposed method was directly compared against the well-known histogram-based contrast correction method. The two methods were qualitatively and quantitatively evaluated for all 92 available dental image pairs. The two methods were compared in terms of the contrast root mean square difference between the reference image and the corrected image in each case. The obtained results were also verified statistically using appropriate t-tests in each set. The proposed method exhibited superior performance compared with the well-established method, in terms of the contrast root mean square difference between the reference and the corrected images. After suitable statistical analysis, it was deduced that the performance advantage of the proposed approach was statistically significant.
在比较不同时间段获取的医学数据时,由于获取过程的差异,数字减影放射摄影术通常需要进行对比度校正。本文专注于牙科射线照片,并介绍了一种用于校正牙科图像对对比度的新方法。该方法通过在其直方图上应用典型的配准技术来修改主体图像。所提出的直方图配准方法以这样的方式重塑两个主体图像的直方图,使得这些图像在对比度偏差方面匹配。该方法在 4 组牙科图像上进行了广泛的测试,包括 72 对具有未知对比度差异的注册牙科图像对以及 20 对具有已知对比度差异的牙科图像对。所提出的方法与知名的基于直方图的对比度校正方法进行了直接比较。对所有 92 对可用的牙科图像对,对这两种方法进行了定性和定量评估。在每种情况下,通过参考图像和校正图像之间的对比度均方根差来比较这两种方法。在每组中,还使用适当的 t 检验对获得的结果进行了统计验证。与成熟的方法相比,在所提出的方法中,参考图像和校正图像之间的对比度均方根差的性能更好。经过适当的统计分析,可以得出结论,所提出方法的性能优势在统计学上是显著的。