No-Reference Image Quality Assessment Of T2-Weighted Magnetic Resonance Images In Prostate Cancer Patients.
Samira MasoudiStephanie A. HarmonSherif MehralivandNathan LayUlas BagciBradford J. WoodPeter A. PintoPeter L. ChoykeBaris TurkbeyPublished in: ISBI (2021)
Keyphrases
- image quality assessment
- magnetic resonance images
- cancer patients
- prostate cancer
- mr images
- medical image analysis
- medical images
- quality assessment
- structural similarity
- magnetic resonance
- image quality
- natural scene statistics
- manual segmentation
- radiation therapy
- reduced reference
- image quality measures
- white matter
- clinical data
- image database
- image guided
- medical imaging
- correlation coefficient
- magnetic resonance imaging
- perceptual image quality
- human perception
- human visual system
- image data
- quality metrics
- kullback leibler divergence
- deformable registration
- diffusion tensor
- brain tumors
- quality evaluation
- natural images
- accurate segmentation
- computer aided
- clinical trials
- segmentation result
- breast cancer
- quality measures
- automated segmentation
- image reconstruction
- x ray
- brain images