首页> 外国专利> DEVICE AND METHOD FOR DETECTING CEREBRAL MICROBLEEDS USING MAGNETIC RESONANCE IMAGES

DEVICE AND METHOD FOR DETECTING CEREBRAL MICROBLEEDS USING MAGNETIC RESONANCE IMAGES

机译:使用磁共振图像检测脑微微斑点的装置和方法

摘要

Disclosed are a device and method for detecting cerebral microbleeds using magnetic resonance images. The disclosed device includes a preprocessing unit that normalizes an SWI image and a phase image, respectively, of the magnetic resonance images, and performs phase image conversion for inverting a code of the normalized phase image, a YOLO neural network module that receives a two-channel image in which the preprocessed SWI image and phase image are concatenated and detects a plurality of candidate regions for the cerebral microbleeds, and a cerebral microbleeds determination neural network module that receives patch images of candidate regions of the SWI image and phase image based on the plurality of candidate regions and determines whether the patch images of each candidate region are an image with a symptom of the cerebral microbleeds through a neural network operation. According to the disclosed device and method, it is possible to detect cerebral microbleeds with improved performance through magnetic resonance image preprocessing suitable for detecting the cerebral microbleeds using an artificial neural network.
机译:公开了一种用于使用磁共振图像检测脑微微斑点的装置和方法。所公开的设备包括预处理单元,其分别归一化磁共振图像的SWI图像和相位图像,并执行用于反相归一化相位图像的代码的相位图像转换,该幂映像的代码是接收两个 - 的YOLO神经网络模块其中预处理的SWI图像和相位图像被连接并检测用于脑微微斑点的多个候选区域的信道图像,以及基于所示多个候选区域并确定每个候选区域的贴片图像是否是通过神经网络操作的具有脑微微斑点症状的图像。根据所公开的装置和方法,可以通过适于使用人工神经网络检测脑显微化物的磁共振图像预处理来检测具有改进性能的大脑微扰动。

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