Affiliations: [a] First Affiliated Hospital of Shenzhen University, Shenzhen No.2 People’s Hospital, Shenzhen, China and School of public health management Central South University, Changsha, China | [b] Department of Ultrasound, Second Clinical College of Jinan University, People’s Hospital of Shenzhen, Shenzhen, China | [c] Department of Neurology, Shenzhen No.2 People’s Hospital, Shenzhen, China | [d] College of Information Engineering, Shenzhen University, Shenzhen, China | [e] Department of Ultrasound, First Affiliated Hospital of Shenzhen University, Shenzhen No.2 People’s Hospital, Shenzhen, China
Correspondence:
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Corresponding author: Xue-Hao Gong, Department of Ultrasound, First Affiliated Hospital of Shenzhen University, Shenzhen No.2 People’s Hospital, Shenzhen, China. Tel./Fax: +86 755 83366388; E-mail: fox_gxh@sina.com.
Note: [1] These authors have contributed equally to this work.
Abstract: An ultrasonic image speckle noise removal method by using total least squares model is proposed and applied onto images of cardiovascular structures such as the carotid artery. On the basis of the least squares principle, the related principle of minimum square method is applied to cardiac ultrasound image speckle noise removal process to establish the model of total least squares, orthogonal projection transformation processing is utilized for the output of the model, and the denoising processing for the cardiac ultrasound image speckle noise is realized. Experimental results show that the improved algorithm can greatly improve the resolution of the image, and meet the needs of clinical medical diagnosis and treatment of the cardiovascular system for the head and neck. Furthermore, the success in imaging of carotid arteries has strong implications in neurological complications such as stroke.
Keywords: Ultrasound images, image processing, speckle noise, total least squares, carotid artery
