Title :
Cortex segmentation: a fast variational geometric approach
Author :
Goldenberg, Roman ; Kimmel, Ron ; Rivlin, Ehud ; Rudzsky, Michael
Author_Institution :
Comput. Sci. Dept., Technion Israel Inst. of Technol., Haifa, Israel
Abstract :
An automatic cortical gray matter segmentation from a three-dimensional (3-D) brain images [magnetic resonance (MR) or computed tomography] is a well known problem in medical image processing. In this paper, we first formulate it as a geometric variational problem for propagation of two coupled bounding surfaces. An efficient numerical scheme is then used to implement the geodesic active surface model. Experimental results of cortex segmentation on real 3-D MR data are provided.
Keywords :
biomedical MRI; brain models; computerised tomography; image segmentation; medical image processing; 3-D MR data; cerebral spinal fluid; cortical surface segmentation; deformable coupled surfaces; efficient numerical scheme; geodesic active contours; level-sets; medical diagnostic imaging; three-dimensional brain images; two coupled bounding surfaces; Active contours; Brain modeling; Cities and towns; Computer science; Deformable models; Image segmentation; Magnetic resonance; Rough surfaces; Surface reconstruction; Surface roughness; Algorithms; Anatomy, Cross-Sectional; Cerebral Cortex; Computer Simulation; Databases, Factual; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Imaging; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Tomography, X-Ray Computed;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2002.806594
