Fully automated 3D prostate central gland segmentation in MR images: a LOGISMOS based approach.
Yin YinSergei V. FotinSenthil PeriaswamyJustin KunzHrishikesh HaldankarNaira MuradyanBaris TurkbeyPeter L. ChoykePublished in: Medical Imaging: Image Processing (2012)
Keyphrases
- low contrast
- fully automated
- fully automatic
- mr images
- prostate cancer
- accurate segmentation
- manual segmentation
- mr imaging
- mri data
- magnetic resonance
- dice similarity coefficient
- medical images
- segmentation accuracy
- semi automatic
- prostate segmentation
- automated segmentation
- imaging modalities
- magnetic resonance images
- brain mr images
- partial volume
- brain tumors
- cardiac magnetic resonance
- ultrasound images
- segmentation result
- image data
- nonrigid registration
- bias field
- contrast enhanced
- image guided
- intensity inhomogeneity
- inter patient
- carotid artery
- dce mri
- brain structures
- region growing
- atlas based segmentation
- radiation therapy
- shape prior
- automatic segmentation
- imaging artifacts
- anatomical structures
- deformable models
- medical image analysis