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A novel noise-removed algorithm for tagging effects in intermolecular multiple-quantum coherence magnetic resonance images
- Source :
- 2009 IEEE International Symposium on IT in Medicine & Education.
- Publication Year :
- 2009
- Publisher :
- IEEE, 2009.
-
Abstract
- Since the acquired images are often distorted by noise resulting from various experimental and other sources (e.g., the RF tagging effects) in magnetic resonance imaging (MRI), removing noise is a very important work and at the same time useful information should be well preserved. In this paper, a novel, fast denoising algorithm has been proposed to make tradeoff between reducing noise and enlarging contrast of MRI images. Finally the computed results are in good agreement with our theoretical prediction.
- Subjects :
- medicine.diagnostic_test
Computer science
business.industry
Noise reduction
media_common.quotation_subject
Intermolecular force
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Magnetic resonance imaging
Mri image
Noise
Signal-to-noise ratio
medicine
Contrast (vision)
Computer vision
Artificial intelligence
business
media_common
Multiple quantum coherence
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2009 IEEE International Symposium on IT in Medicine & Education
- Accession number :
- edsair.doi...........f79821d44af13705ba73016ebe307841