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Multi-scale analysis of signal enhancement in breast MRI

机译:乳房MRI信号增强的多尺度分析

摘要

A method for computer assisted lesion detection in magnetic resonance (MR) images includes acquiring dynamic contrast enhanced (DCE) MR images. The images are processed to produce a subtraction image illustrating change in voxel enhancement between the images. A Gaussian low-pass filter is applied to the subtraction image. An elimination mask is created from the filtered subtraction image by removing voxels with enhancement values below a threshold value. The elimination mask is used to remove noise from the subtraction image. One or more regions of suspicion are automatically detected from the noise-removed subtraction image. To produce the subtraction image, DCE-MR images are divided into first and second sub-sets. Positive-signed enhancement values of voxels of the MR images from the first sub-set are added to a combined subtraction image along with absolute values of all enhancement values of voxels of the MR images from the second sub-set.
机译:一种用于在磁共振(MR)图像中进行计算机辅助病变检测的方法,包括获取动态对比度增强(DCE)MR图像。对图像进行处理以产生相减图像,该相减图像示出了图像之间体素增强的变化。高斯低通滤波器应用于减法图像。通过去除增强值低于阈值的体素,从过滤后的减法图像中创建消除蒙版。消除掩模用于从减法图像中去除噪声。从去除噪声的减法图像中自动检测到一个或多个可疑区域。为了产生相减图像,将DCE-MR图像分为第一和第二子集。将来自第一子集的MR图像的体素的正号增强值与来自第二子集的MR图像的体素的所有增强值的绝对值相加。

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