斑点图案
散斑噪声
计算机科学
人工智能
计算机视觉
图像质量
滤波器(信号处理)
医学影像学
特征(语言学)
降噪
图像处理
图像(数学)
语言学
哲学
作者
Zeinab A. Mustafa,Banazier A. Abrahim,Akram Omara,Arwa A. Mohammed,Islam A. Hassan,Etimad A. Mustafa
出处
期刊:Journal of clinical engineering
[Ovid Technologies (Wolters Kluwer)]
日期:2019-12-16
卷期号:45 (1): 51-65
被引量:14
标识
DOI:10.1097/jce.0000000000000378
摘要
Ultrasound (US) imaging application in medicine and other fields is enormous. It has several advantages over other medical imaging modalities. The use of US in diagnosis is well established because of its noninvasive nature, portable, accurate, low-cost imaging modality, capable of forming real-time imaging and continuing improvement in image quality. Medical images and satellite images are usually degraded by noise during image acquisition and transmission process. It is estimated that 1 out of every form medical diagnostic image studies in the world involves ultrasonic techniques. The objectives of this article are to give an overview of the types of speckle reduction techniques in US imaging, present a new technique of speckle reduction, and carry out a comparative evaluation of despeckle filtering based on image quality metrics. A new speckle suppression method and coherence enhancement of medical US image are proposed: 9 despeckled filtering techniques and 5 edge detection operators, with the result evaluated by image quality metrics. The best edge detection hybrid with best filter, quality evaluation metrics has been found that the proposed method performance better than all other methods, while the structural details and result preserving of small and important image feature that contain diagnostic information in a better way than other despeckling filter.
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