基于结构相似度指数的MR图像单模配准

O. Ben Sassi, T. Delleji, A. Taleb-Ahmed, I. Feki, A. Ben Hamida
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引用次数: 5

摘要

图像配准是医学图像中的一项重要技术,尤其在病理调查和控制、医学治疗或术后控制中具有重要作用。它本质上是基于相似性准则测量,因为它定义了用于估计图像同源结构之间配准质量的客观标准。本文描述了SSIM方法在图像配准技术中作为相似度度量的一个应用。图像质量的测量通常采用SSIM方法,它包括两幅图像之间亮度的比较、对比度的比较和结构的比较。这一特性使我们能够将该方法应用于MR图像的单模配准,并证明了其性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MR Image Monomodal Registration Using Structure Similarity Index
Image registration in medical imagery is one useful technique with an important role especially for pathology survey and control, medical treatment, or for post-operative control. It is based essentially on the similarity criterion measurement because it defines the objective criterion used to estimate registration quality between the homologous structures of images. This paper describes one application of the SSIM method as a similarity metric in the image registration technique. Usually the SSIM method is used in the images' quality measurement, it consists in the combination of the comparison of luminance, the comparison of contrast, and the comparison of structure between two images. This property allowed us to adapt this approach in MR image monomodal registration and demonstrate its performance.
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