Robust, accurate and fast automatic segmentation of the spinal cord

• Published in: NeuroImage (Orlando, Fla.) Vol. 98; pp. 528 - 536
• Main Authors: De Leener, Benjamin, Kadoury, Samuel, Cohen-Adad, Julien
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.09.2014; Elsevier Limited
• Subjects: Algorithms; Automatic; Deformable model; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging - methods; Medical imaging; Medical research; Methods; MRI; Observer Variation; Principal components analysis; Propagation; Spinal Cord - anatomy & histology; Spinal Cord - pathology; Spinal cord injuries; Spinal Cord Injuries - pathology; Spinal cord segmentation; Spinal cord segmentation; Deformable model; Propagation; MRI; Automatic

Spinal cord segmentation provides measures of atrophy and facilitates group analysis via inter-subject correspondence. Automatizing this procedure enables studies with large throughput and minimizes user bias. Although several automatic segmentation methods exist, they are often restricted in terms...