A Mathematical Morphology-Based Filter for Noise Reduction and Detail Preservation in Low-Dose Dental CT Images.
Rômulo Marconato StringhiniDaniel WelferMarcos Cordeiro d'OrnellasDaniel Fernando Tello GamarraPublished in: MedInfo (2019)
Keyphrases
- noise reduction
- mathematical morphology
- low dose
- ct images
- computed tomography
- edge detection
- computer tomography
- ct scans
- lung nodules
- medical imaging
- medical images
- image analysis
- signal to noise ratio
- image processing
- noise removal
- median filter
- noise level
- binary images
- gray scale
- dual energy
- computer aided
- ct data
- region of interest
- structuring elements
- imaging modalities
- multiscale
- anisotropic diffusion
- image enhancement
- noisy images
- image reconstruction
- x ray
- machine learning
- pattern recognition
- treatment planning
- color images
- medical diagnosis
- region growing
- automated segmentation
- medical data
- anatomical structures
- partial differential equations