Optimization of Ultrasound Information Imaging Algorithm in Cardiovascular Disease Based on Image Enhancement

To improve the interpretability or perception of information in images for human viewers is the main goal of image enhancement. Aiming at the problem that image edges are difficult to determine due to artefacts, plaques, and vascular branches in cardiovascular ultrasound, an edge ultrasound imaging...

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Bibliographic Details
Published in:Mathematical problems in engineering Vol. 2021; pp. 1 - 13
Main Authors: Shao, Yongfu, Wu, Jue, Ou, Hongping, Pei, Min, Liu, Li, Movassagh, Ali Akbar, Sharma, Ashutosh, Dhiman, Gaurav, Gheisari, Mehdi, Asheralieva, Alia
Format: Journal Article
Language:English
Published: New York Hindawi 25.03.2021
John Wiley & Sons, Inc
Subjects:
Algorithms
Boundaries
Calcification
Cardiovascular disease
Catheters
Contrast agents
Entropy (Information theory)
Frequency domain analysis
Heuristic methods
Image contrast
Image enhancement
Image processing
Methods
Morphology
Noise
Optimization
Search methods
Sharpness
Ultrasonic imaging
Ultrasonic transducers
Ultrasound
ISSN:1024-123X, 1563-5147
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Summary:To improve the interpretability or perception of information in images for human viewers is the main goal of image enhancement. Aiming at the problem that image edges are difficult to determine due to artefacts, plaques, and vascular branches in cardiovascular ultrasound, an edge ultrasound imaging detection algorithm based on spatial-frequency-domain image enhancement is proposed to improve the clarity of ultrasound images. Firstly, this paper uses the space-frequency-domain enhancement algorithm to enhance the image. This algorithm overcomes the problem of low contrast of conventional algorithms. The enhanced data matrix is used as the cost matrix, and then, the heuristic image search method is used to search the image of the cost matrix. The results show that the use of spatial-frequency-domain image ultrasound imaging algorithm can improve the contrast and sharpness of ultrasound images of cardiovascular disease, which can make the middle edge of the image clearer, the detection accuracy rate is increased to 92.76%, and the ultrasound of cardiovascular disease is improved. The edge of the image gets accuracy. The paper confirms that the ultrasound imaging algorithm based on spatial-frequency-domain image enhancement is worthy of application in clinical ultrasound image processing. The performance of the proposed technique is 32.54%, 75.30%, 21.19%, 21.26%, and 11.10% better than the existing technique in terms of edge energy, detail energy, sharpness, contrast, and information entropy, respectively.
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ISSN:1024-123X
1563-5147
DOI:10.1155/2021/5580630