Automatic Tractography Segmentation Using a High-Dimensional White Matter Atlas

• Published in: IEEE transactions on medical imaging Vol. 26; no. 11; pp. 1562 - 1575
• Main Authors: O'Donnell, Lauren J., Westin, Carl-Fredrik
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.11.2007; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Anatomy; Artificial Intelligence; Biomedical imaging; Brain; clustering; Computer Simulation; Corona; Corpus Callosum - anatomy & histology; diffusion magnetic resonance imaging (MRI); Diffusion Magnetic Resonance Imaging - methods; Diffusion tensor imaging; Hospitals; Humans; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Image segmentation; Imaging, Three-Dimensional - methods; Magnetic resonance imaging; Models, Anatomic; Models, Neurological; Nerve fibers; Nerve Fibers, Myelinated - ultrastructure; Pattern Recognition, Automated - methods; Reproducibility of Results; Sensitivity and Specificity; Stability; Subtraction Technique; Tensile stress; tractography; white matter; diffusion MRI; white matter; tractography; clustering; atlas

We propose a new white matter atlas creation method that learns a model of the common white matter structures present in a group of subjects. We demonstrate that our atlas creation method, which is based on group spectral clustering of tractography, discovers structures corresponding to expected whi...