CAJ | 학술논문

医学影像图像是一类拓扑纹理图像。在临床诊断和治疗中，常需要将不同模态的医学影像图像配准。为此提出一种结合拓扑纹理图像不变特征的医学影像光流场配准的方法。首先，以尺度不变特征变换( SIFT)描述子对待配准图像做局部特征描述，同时，以一致性提纯法对图像局部特征匹配对提纯；其次，以图像局部不变特征为参考，对图像进行基于光流场模型的弹性图像配准，同时，对配准模型予以单元分解，以避免图像局部拓扑纹理特征因被光滑而模糊配准的结果。仿真实验结果表明，新方法具有较好的医学影像图像配准效果。
의학영상도상시일류탁복문리도상。재림상진단화치료중，상수요장불동모태적의학영상도상배준。위차제출일충결합탁복문리도상불변특정적의학영상광류장배준적방법。수선，이척도불변특정변환( SIFT)묘술자대대배준도상주국부특정묘술，동시，이일치성제순법대도상국부특정필배대제순；기차，이도상국부불변특정위삼고，대도상진행기우광류장모형적탄성도상배준，동시，대배준모형여이단원분해，이피면도상국부탁복문리특정인피광활이모호배준적결과。방진실험결과표명，신방법구유교호적의학영상도상배준효과。
Medical image is a kind of topological texture image. In clinical diagnosis and treatment, it is often needed to match medical images of different models. This paper put forward a medical imaging optical flow field registration method in conjunction with invariant features of topology texture image. Firstly, Scale Invariant Feature Transform ( SIFT) descriptor was used to describe local characteristics of image registration and image registration on local imaging characteristics is refined by the consistency purification method. Secondly, the image was matched on the basis of elastic image registration of optical flow model by reference to the image local invariant features, and the registration model was decomposed by units to avoid blurred registered result and loss of local topological image texture features because of being smoothed. The result of simulation experiment indicates that the new method has better effect on medical image registration.