A Framework for Jointly Assessing and Reducing Imaging Artefacts Automatically Using Texture Analysis and Total Variation Optimisation for Improving Perivascular Spaces Quantification in Brain Magnetic Resonance Imaging.
José BernalMaria del C. Valdés HernándezLucia BalleriniJavier EscuderoAngela C. C. JochemsUna ClancyFergus N. DoubalMichael S. StringerMichael J. ThrippletonRhian M. TouyzJoanna M. WardlawPublished in: MIUA (2020)
Keyphrases
- texture analysis
- total variation
- magnetic resonance imaging
- image analysis
- denoising
- medical images
- mri data
- medical imaging
- texture classification
- texture segmentation
- image restoration
- image processing
- magnetic resonance images
- image denoising
- positron emission tomography
- single photon emission computed tomography
- human brain
- computer vision
- gabor filters
- texture features
- gray level
- multiresolution
- feature extraction