医学图像细微结构增强方法研究进展

Research progress of details enhancement methods in medical images

有效的医学图像增强方法可以增强感兴趣目标或区域以及抑制背景及噪声区域,从而改善图像的质量,在减少噪声的同时保持原有的几何纹理结构,基于增强后的图像可以更方便地诊断疾病。本文针对当前医学图像细微结构增强方法展开研究,主要包括锐化增强方法、粗糙集与模糊集增强、多尺度几何增强以及基于微分算子的增强方法。最后给出几种常用的图像细节增强定量评价指标,并探讨了医学图像细微结构增强进一步的研究方向。

Effective medical image enhancement method can not only highlight the interested target and region,but also suppress the background and noise, thus improving the quality of the image and reducing the noise while keeping the original geometric structure, which contributes to easier diagnosis in disease based on the image enhanced. This article carries out research on strengthening methods of subtle structure in medical image nowadays, including images sharpening enhancement, rough sets and fuzzy sets, multi-scale geometrical analysis and differential operator. Finally,some commonly used quantitative evaluation criteria of image detail enhancement are given, and further research directions of fine structure enhancement of medical images are discussed.