Real-time removal of impulse noise from MR images for radiosurgery applications
Autor: | Kayvan Najarian, S.M.R. Soroushmehr, Nader Karimi, Ali Emami, Shahram Shirani, Zohreh HosseinKhani, Mohsen Hajabdollahi, Shadrokh Samavi |
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Rok vydání: | 2019 |
Předmět: |
Computer science
business.industry Applied Mathematics Noise reduction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Impulse noise Computer Science Applications Electronic Optical and Magnetic Materials Noise Medical imaging Embedding Computer vision Enhanced Data Rates for GSM Evolution Artificial intelligence Electrical and Electronic Engineering Field-programmable gate array business |
Zdroj: | International Journal of Circuit Theory and Applications. 47:406-426 |
ISSN: | 0098-9886 |
Popis: | In the recent years, image processing techniques are used as a tool to improve detection and diagnostic capabilities in the medical applications. Among these techniques, medical image enhancement algorithms play an essential role in the removal of the noise, which can be produced by medical instruments and during image transfer. Impulse noise is a major type of noise, which is produced by medical imaging systems, such as MRI, computed tomography (CT), and angiography instruments. An embeddable hardware module, which can denoise medical images before and during surgical operations, could be very helpful. In this paper, an accurate algorithm is proposed for real-time removal of impulse noise in medical images. Our algorithm categorizes all image blocks into three types of edge, smooth, and disordered areas. A different reconstruction method is applied to each category of blocks for noise removal. The proposed method is tested on MR images. Simulation results show acceptable denoising accuracy for various levels of noise. Also, an field programmable gate array (FPGA) implementation of our denoising algorithm shows acceptable hardware resource utilization. Hence, the algorithm is suitable for embedding in medical hardware instruments such as radiosurgery devices. |
Databáze: | OpenAIRE |
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