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MRI Denoising for Healthcare
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Author(s): Kalyani Rajiv Joshi (PES Modern College of Engineering, India)and Shraddha Dinesh Oza (Army Institute of Technology, India)
Copyright: 2018
Pages: 21
Source title:
Biomedical Signal and Image Processing in Patient Care
Source Author(s)/Editor(s): Maheshkumar H. Kolekar (Indian Institute of Technology Patna, India)and Vinod Kumar (Indian Institute of Technology Roorkee, India)
DOI: 10.4018/978-1-5225-2829-6.ch005
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Abstract
Biomedical Image processing is an important research domain which contributes to the human health care. Magnetic resonance imaging (MRI) is the most popularly used medical imaging modality for its ability to scan any organ or tissue of a body without causing health risk to patient. Because of immense potential of MRI in health care it is very popular with the researchers. Along with improvisations in MR machines, the researchers are exploring different de noising filters, implementation techniques, and platforms so as to improve the MR image quality and enhance accuracy of diagnosis. The chapter discusses all the aspects of MRI - its physics, image attributes, rician noise pdf, different denoising filters and their implementation aspects. The performance analysis being significant in evaluating image quality, different quality measures used are discussed in details. The chapter also briefs about possible opportunities of research in the said domain.
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