Segmentation of Bone Tumor in MR Perfusion Images Using Neural Networks and Multiscale Pharmacokinetic Features.
Michael Egmont-PetersenAlejandro F. FrangiWiro J. NiessenP. C. W. HogendoornJohan L. BloemMax A. ViergeverJohan H. C. ReiberPublished in: ICPR (2000)
Keyphrases
- contrast enhanced
- multiscale
- test images
- mr images
- neural network
- image features
- edge detection
- brain tumors
- contrast agent
- segmentation algorithm
- segmentation accuracy
- mr imaging
- dce mri
- magnetic resonance
- breast mri
- medical images
- image regions
- accurate segmentation
- segmentation method
- image registration
- contrast enhancement
- dynamic contrast enhanced mri
- image data
- image analysis
- image segmentation
- cardiac mr
- nonrigid registration
- mri data
- fully automatic
- anatomical structures
- ct and mr images
- cardiac magnetic resonance
- carotid artery
- pet images
- automated segmentation
- intraoperative
- computed tomography
- brain mr images
- skin lesion
- partial volume
- ct data
- input image
- deformation field
- magnetic resonance images
- prostate segmentation
- deformable models
- brain images
- microscopy images
- lymph nodes
- patient specific
- level set
- group wise registration
- automated analysis