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Author Notes:

Tianming Liu, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA, United States; tliu@cs.uga.edu

Or Xiaoping Hu, Biomedical Imaging Technology Center, Emory University, Atlanta, GA, United States

The authors would like to thank the Human Connectome Project (http://www.humanconnectomeproject.org/) for sharing the DSI dataset.

The authors would like to thank the anonymous reviewers for their constructive comments.

Subjects:

Research Funding:

T Liu was supported by the NIH Career Award EB 006878; NIH R01 DA033393; NSF CAREER Award IIS-1149260; and The University of Georgia start-up research funding.

T Zhang was supported by ‘Scholarship Award for Excellent Doctoral Student granted by Ministry of Education of China’ and ‘Excellent Doctorate Foundation of Northwestern Polytechnical University’.

L Li and X Hu were supported by NIH PO1 AG026423 and NIH R01 DA033393.

D Zhang was supported by China Government Scholarship.

L Guo was supported by NSFC-61273362.

Keywords:

  • Science & Technology
  • Technology
  • Life Sciences & Biomedicine
  • Computer Science, Artificial Intelligence
  • Computer Science, Interdisciplinary Applications
  • Engineering, Biomedical
  • Radiology, Nuclear Medicine & Medical Imaging
  • Computer Science
  • Engineering
  • DSI
  • HARDI
  • DTI
  • Fiber shapes
  • Shape analysis
  • WHITE-MATTER
  • BRAIN
  • TRACTOGRAPHY
  • ARCHITECTURE
  • CONNECTIONS
  • PATHWAYS

Characterization of U-shape streamline fibers: Methods and applications

Tools:

Journal Title:

Medical Image Analysis

Volume:

Volume 18, Number 5

Publisher:

, Pages 795-807

Type of Work:

Article | Post-print: After Peer Review

Abstract:

Diffusion tensor imaging (DTI), high angular resolution diffusion imaging (HARDI), and diffusion spectrum imaging (DSI) have been widely used in the neuroimaging field to examine the macro-scale fiber connection patterns in the cerebral cortex. However, the topographic and geometric relationships between diffusion imaging derived streamline fiber connection patterns and cortical folding patterns remain largely unknown. This paper specifically identifies and characterizes the U-shapes of diffusion imaging derived streamline fibers via a novel fiber clustering framework and examines their co-localization patterns with cortical sulci based on DTI, HARDI, and DSI datasets of human, chimpanzee and macaque brains. We verified the presence of these U-shaped streamline fibers that connect neighboring gyri by coursing around cortical sulci such as the central sulcus, pre-central sulcus, post-central sulcus, superior temporal sulcus, inferior frontal sulcus, and intra-parietal sulcus. This study also verified the existence of U-shape fibers across data modalities (DTI/HARDI/DSI) and primate species (macaque, chimpanzee and human), and suggests that the common pattern of U-shape fibers coursing around sulci is evolutionarily-preserved in cortical architectures.

Copyright information:

© 2014 Elsevier B.V.

This is an Open Access work distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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