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Holographic Reconstruction of Axonal Pathways in the Human Brain

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

  • Mikkel V. Petersen
  • Jeffrey Mlakar, Case Western Reserve University
  • ,
  • Suzanne N. Haber, University of Rochester
  • ,
  • Martin Parent, Université Laval
  • ,
  • Yoland Smith, Emory University
  • ,
  • Peter L. Strick, University of Pittsburgh
  • ,
  • Mark A. Griswold, Case Western Reserve University
  • ,
  • Cameron C. McIntyre, Case Western Reserve University

Three-dimensional documentation of the axonal pathways connecting gray matter components of the human brain has wide-ranging scientific and clinical applications. Recent attempts to map human structural connectomes have concentrated on using tractography results derived from diffusion-weighted imaging data, but tractography is an indirect method with numerous limitations. Advances in holographic visualization platforms provide a new medium to integrate anatomical data, as well as a novel working environment for collaborative interaction between neuroanatomists and brain-imaging scientists. Therefore, we developed the first holographic interface for building axonal pathways, populated it with human histological and structural MRI data, and assembled world expert neuroanatomists to interactively define axonal trajectories of the cortical, basal ganglia, and cerebellar systems. This blending of advanced visualization hardware, software development, and neuroanatomy data enabled the translation of decades of amassed knowledge into a human axonal pathway atlas that can be applied to educational, scientific, or clinical investigations. Petersen et al. use group-based holographic visualization to construct axonal pathway trajectories in the human brain via interactive collaboration by world expert neuroanatomists. They blend advanced visualization hardware, software development, and neuroanatomy data to overcome the limitations of tractography.

Sider (fra-til)1056-1064.e3
StatusUdgivet - 18 dec. 2019
Eksternt udgivetJa

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