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DENSITY-BASED METHOD OF COMPARING IMAGES AND DETECTION OF MORPHOLOGICAL CHANGES USING THE METHOD THEREOF

机译:基于密度的图像比较和形态变化检测方法

摘要

The present invention relates to a method of processing data for comparing at least two images using data processing means. A first sample of coordinate values (X1,...,Xn1) is extracted (100) from at least one first image (Im1) and a second sample of coordinate values (Y1,...,Yn2) is extracted (100) from at least one second image (Im2). A normal score value (Z) is then computed (200), with the processing means, based on a density test statistic function (T) applied on the first and second samples of coordinate values, wherein this density test statistic function has an asymptotic distribution, and a p-value, derived from the computed normal score value (Z), is compared (400) with a predetermined level of significance (α) in order to determine a similarity between the two images. Such a method can be used for example for determining the influence of a compound on a biological structure, monitoring a drug treatment comprising one or more specific treatment compound(s), assessing the cytotoxicity of a predetermined compound on a biological structure, determining cellular morphology changes due to modifications in the expression level of cellular constituents, determining the influence of a infection by pathogens or detecting morphological changes in a biological structure over time.
机译:本发明涉及一种使用数据处理装置处理用于比较至少两个图像的数据的方法。从至少一个第一图像(Im1)和第二图像的第二样本中提取(100)坐标值的第一样本(X 1 ,...,X n1 )。从至少一个第二图像(Im2)中提取(100)坐标值(Y 1 ,...,Y n2 )。然后,利用处理装置,基于应用于坐标值的第一和第二样本的密度测试统计函数( T ),计算(200)正常分数值(Z)测试统计函数具有渐近分布,并且将从计算出的正态得分值(Z)得出的p值与预定的显着性水平(α)进行比较(400),以确定两个图像之间的相似性。这样的方法可以用于例如确定化合物对生物结构的影响,监测包含一种或多种特定治疗化合物的药物治疗,评估预定化合物对生物结构的细胞毒性,确定细胞形态。由于细胞成分表达水平的改变而引起的变化,确定病原体感染的影响或检测生物结构随时间的形态变化。

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