Shape analysis of the human association pathways

• Published in: NeuroImage (Orlando, Fla.) Vol. 223; p. 117329
• Main Author: Yeh, Fang-Cheng
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.12.2020; Elsevier Limited; Elsevier
• Subjects: Adult; Anisotropy; Automatic fiber tracking; Brain; Brain - anatomy & histology; Brain - diagnostic imaging; Brain Mapping - methods; Cingulum; Computer vision; Consortia; Diffusion MRI; Diffusion Tensor Imaging; Dominance; Female; Humans; Image processing; Image Processing, Computer-Assisted - methods; Innervation; Investigations; Magnetic resonance imaging; Male; Morphology; Neural Pathways - anatomy & histology; Neural Pathways - diagnostic imaging; Shape analysis; Shape descriptor; Structure-function relationships; Tractography; Variation; White Matter - anatomy & histology; White Matter - diagnostic imaging; Young Adult; Diffusion MRI; Automatic fiber tracking; Shape analysis; Shape descriptor; Tractography

Shape analysis has been widely used in digital image processing and computer vision, but they have not been utilized to compare the structural characteristics of the human association pathways. Here we used shape analysis to derive length, area, volume, and shape metrics from diffusion MRI tractogra...