Speckle noise removal applied to ultrasound image of carotid artery based on total least squares model
| Autor: | Ming Dai, Li-Jie Ren, Wei-Zong Liu, Xuehao Gong, Jun Lu, Zhenzhou Li, Lei Yang |
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| Rok vydání: | 2016 |
| Předmět: |
Computer science
Noise reduction 0211 other engineering and technologies Image processing 02 engineering and technology Least squares 0202 electrical engineering electronic engineering information engineering Humans Radiology Nuclear Medicine and imaging Computer vision Electrical and Electronic Engineering Total least squares Least-Squares Analysis Instrumentation 021101 geological & geomatics engineering Ultrasonography Radiation business.industry Orthographic projection Speckle noise Condensed Matter Physics Transformation (function) Carotid Arteries 020201 artificial intelligence & image processing Ultrasonic sensor Artificial intelligence business Algorithms |
| Zdroj: | Journal of X-ray science and technology. 24(5) |
| ISSN: | 1095-9114 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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