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SYSTEM AND METHOD FOR AUTOMATED SEGMENTATION, CHARACTERIZATION, AND CLASSIFICATION OF POSSIBLY MALIGNANT LESIONS AND STRATIFICATION OF MALIGNANT TUMORS

机译:可能的恶性病变的自动分割,定性和分类以及恶性肿瘤分层的系统和方法

摘要

A method and apparatus for classifying possibly malignant lesions from sets of DCE-MRI images includes receiving a set of MRI slice images obtained at respectively different times, where each slice image includes voxels representative of at least one region of interest (ROI). The images are processed to determine the boundaries of the ROIs and the voxels within the identified boundaries in corresponding regions of the images from each time period are processed to extract kinetic texture features. The kinetic texture features are then used in a classification process which classifies the ROIs as malignant or benign. The malignant lesions are further classified to separate TN lesions from non-TN lesions.
机译:一种用于从DCE-MRI图像组中对可能的恶性病变进行分类的方法和设备,包括接收分别在不同时间获得的一组MRI切片图像,其中每个切片图像包括代表至少一个感兴趣区域(ROI)的体素。对图像进行处理以确定ROI的边界,并处理来自每个时间段的图像的相应区域中的已识别边界内的体素,以提取动力学纹理特征。然后将动力学纹理特征用于分类过程中,该过程将ROI分类为恶性或良性。进一步将恶性病变分类为将TN病变与非TN病变分开。

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