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Feature points based image registration between endoscope image and the CT image

机译:内窥镜图像与CT图像之间基于特征点的图像配准

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According to the special requirements of the minimally invasive surgical robot system, combined the CT images of the lesion site of the patient with the data implied in minimally invasive surgical robot, proposed a new fast feature point based local image registration method, can realize the registration for feature points on special tissue and general tissue. This algorithm introduces Euclidean distance between feature points as the measure of image registration; select the ICP algorithm framework to quickly solve the registration transformation function. Through testing of medical images, experimental results show that the algorithm can match the overall structure of the image information but also align the interested physiological anatomy position of image. Registration results are very satisfactory. This method is a fast, accurate and robust medical image registration method.
机译:根据微创手术机器人系统的特殊要求,结合患者病变部位的CT图像和微创手术机器人所隐含的数据,提出了一种新的基于快速特征点的局部图像配准方法,可以实现配准。用于特殊组织和普通组织上的特征点。该算法引入了特征点之间的欧几里得距离作为图像配准的度量。选择ICP算法框架快速解决配准转换功能。通过对医学图像的测试,实验结果表明该算法不仅可以匹配图像信息的整体结构,而且可以对齐图像感兴趣的生理解剖位置。注册结果非常令人满意。该方法是一种快速,准确和健壮的医学图像配准方法。

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