Comparison of threshold-based and watershed-based segmentation for the truncation compensation of PET/MR images.
Thomas BlaffertSteffen RenischJing TangManoj NarayananZhiqiang HuPublished in: Medical Imaging: Image Processing (2012)
Keyphrases
- mr images
- pet images
- magnetic resonance
- medical images
- accurate segmentation
- brain mr images
- partial volume
- mr brain
- positron emission tomography
- magnetic resonance images
- segmentation result
- brain tumors
- image segmentation
- segmentation algorithm
- intensity inhomogeneity
- manual segmentation
- brain structures
- segmentation method
- mr brain images
- mr imaging
- dice similarity coefficient
- cardiac magnetic resonance
- region growing
- bias field
- contrast enhanced
- imaging modalities
- tissue segmentation
- intensity distribution
- brain tissue
- watershed transform
- multiscale
- image data
- brain images
- mri data
- inhomogeneity correction
- brain segmentation
- watershed segmentation
- magnetic resonance imaging
- phantom images
- region merging
- prostate cancer
- clinical applications
- level set
- model based segmentation
- brain mri
- medical imaging
- automated segmentation
- nonrigid registration
- quantitative measurements
- quantitative evaluation
- mri images
- inter patient
- automatic segmentation
- fully automatic
- deformable models