摘要医学超声成像受其成像机制的限制,会导致系统分辨率不高.为了获得诊断学上的重要信息,通常需要进行图像复原.在实际情况中,医学超声成像系统的退化过程难以精确地描述出来,故当点扩散函数未知或先验知识较少时,采用盲图像复原算法从退化图像中进行原始图像估计.主要针对基于盲解卷积的医学超声图像复原算法进行综述,并根据辨识方法分为先验辨识法和联合辨识法,分析讨论各种盲复原方法的基本理论和改进方法,最后提出了医学超声图像盲复原算法的发展方向.

abstractsMedical ultrasound imaging suffers from poor resolution due to its inherit imaging mechanism.In order to obtain the important diagnostic image in detail,restoration procedure needs to be performed.However,in practical ultrasound imaging,it's difficult to demonstrate the degradation process in detail.Therefore,blind image deconvolution is applied to estimate the original image from the degraded image with unknown point spread function or little available prior knowledge.In this paper,the main algorithms of medical ultrasound image restoration based on blind deconvolution are reviewed and classified into two categories,priori or joint with the image,according to the identification methods,and the basic theories and improved methods are analyzed and discussed.Finally,the future directions in blind restoration for medical ultrasound images are proposed.