Rolland Y, Bézy-Wendling J, Gestin H, Bruno A, Duvauferrier R, Morcet N, Collorec R, Coatrieux J L
Département d'Imagerie Médicale et de Radiologie, Hôpital Sud, RENNES.
Ann Radiol (Paris). 1995;38(6):315-47.
This paper presents a review of the applications of texture analysis in medical imaging. Many authors take a great interest in this topic (75 papers have been published since 1984) and try to elaborate automatic methods for tissue characterization. The results are not really convincing and applications are often reduced to feasibility studies. This failure is due to the empirical approach to the problem: the first studies were performed on ultrasound images, in which visual texture is very present, but no data standardization is available with this imaging modality. A more rational approach should provide better results. For each organ or tissue, it is necessary to find the appropriate source and texture analysis method. This difficult task requires reflection concerning the interactions between tissues and imaging sources, to define judicious structuring elements. These structuring elements should facilitate the choice of the best texture analysis method, for the particular application. Considerable methodological progress has yet to be made, after which texture analysis should be a useful and efficient tool for clinical use.
本文对纹理分析在医学成像中的应用进行了综述。许多作者对该主题非常感兴趣(自1984年以来已发表75篇论文),并试图阐述用于组织特征描述的自动方法。但其结果并不十分令人信服,应用也常常局限于可行性研究。这种失败归因于对该问题采用的经验性方法:最初的研究是在超声图像上进行的,其中视觉纹理非常明显,但这种成像方式没有可用的数据标准化方法。一种更合理的方法应该能提供更好的结果。对于每个器官或组织,有必要找到合适的数据源和纹理分析方法。这项艰巨的任务需要思考组织与成像源之间的相互作用,以定义明智的结构元素。这些结构元素应便于为特定应用选择最佳的纹理分析方法。在取得相当大的方法学进展之后,纹理分析应该会成为一种对临床有用且高效的工具。