计算机科学 ›› 2012, Vol. 39 ›› Issue (12): 278-280.

• 图形图像 • 上一篇    下一篇

基于梯度方向信息的医学图像质量评价方法研究

郭龙,郭剑   

  1. (浙江大学数字化医疗工程研究中心 杭州310027) (上海海事大学航运仿真技术教育部工程研究中心 上海200135)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Research on Medical Image Quality Evaluation Method Based on Gradient Direction Information

  • Online:2018-11-16 Published:2018-11-16

摘要: 研究医学图像质量的评价方法,提高评价方法的可靠性。医学图像是由计算机使用数学方法重建得到的,其独特的成像特点对图像质量评价的要求很高。由于在图像成像过程中不可避免会受到噪声等影响,使得图像存在不均匀或失真等,传统的医学图像质量评价方法只是采用信噪比对图像的质量进行评价,对失真图像评价的可靠性不高。为提高评价方法的可靠性,提出基于梯度方向信息的医学图像质量评价方法。它不仅考虑图像信噪比,而且结合像素点间的相关性和人类视觉感知特性,计算出梯度方向信息作为评价指标,能够避免传统方法对失真图像评价可靠性不高的问题。实验表明,这种方法能够真实反映图像的视觉感知质量,具有较高的评价可靠性。

关键词: 医学图像,质量评价,梯度方向

Abstract: This paper studied the evaluation methods of medical image quality to improve their reliability. Medical images arc obtained through using mathematical method to reconstruct them by compute, so the reliability of distortion image evaluation only very high, because the image during the process of imaging will be inevitably influenced by noise,making image being not uniform or distortion. The traditional medical image quality evaluation method only uses noise ratio to evaluate image quality, so the reliability of evaluation for image distortion is not high. To evaluate image quality,this paper put forward a gradient direction based evaluation method of medical image quality. It not only considers the image signal-to-noise ratio, but also combines the correlation of the pixels and human visual perception characteristics. It calculates gradient direction information used as the evaluation index, and can avoid the problem that evaluation reliability of the traditional method is not high to distortion image. The experiments show that the method can reflect the true image quality of visual perception, has high reliability evaluation.

Key words: Medical image, Quality evaluation, Gradient direction

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!