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Detection of the Invasion of Bladder Tumor into Adjacent Wall Based on Textural Features Extracted from MRI Images

机译:基于MRI图像纹理特征的膀胱肿瘤浸润癌

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The invasion depth of a bladder tumor is of great importance for tumor staging and treatment planning. Considering that MRI bladder images could provide natural contrast between the urine and bladder wall, some texture features have been extracted from MRI images in our previous study, demonstrating a statistically significant difference between tumor tissues and wall tissues. In this study, a classification and labeling scheme has been proposed for the detection of the invasion depth of bladder tumors, based on these selected features, such as mean, standard deviation, uniformity, covariance, and contrast. Experimental results using patients' MRI datasets show the feasibility of the proposed scheme for labeling of bladder tumors, indicating its potential for noninvasive detection of bladder tumors and their stage.
机译:膀胱肿瘤的浸润深度对于肿瘤分期和治疗计划至关重要。考虑到MRI膀胱图像可在尿液和膀胱壁之间形成自然对比,因此在我们先前的研究中已从MRI图像中提取了一些纹理特征,这表明肿瘤组织与壁组织之间存在统计学上的显着差异。在这项研究中,基于这些选定的特征(例如均值,标准差,均匀性,协方差和对比度),已经提出了一种分类和标记方案来检测膀胱肿瘤的浸润深度。使用患者的MRI数据集进行的实验结果表明,提出的膀胱肿瘤标记方案的可行性,表明其无创检测膀胱肿瘤及其阶段的潜力。

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