Limits to anatomical accuracy of diffusion tractography using modern approaches

Research output: Contribution to journalArticleScientificpeer-review

Details

Original languageEnglish
Pages (from-to)1-11
Number of pages11
JournalNeuroImage
Volume185
StatePublished - 15 Jan 2019
MoE publication typeA1 Journal article-refereed

Researchers

  • Kurt G. Schilling
  • Vishwesh Nath
  • Colin Hansen
  • Prasanna Parvathaneni
  • Justin Blaber
  • Yurui Gao
  • Peter Neher
  • Yonggang Shi
  • Mario Ocampo-Pineda
  • Simona Schiavi
  • Alessandro Daducci
  • Gabriel Girard
  • Muhamed Barakovic
  • Jonathan Rafael-Patino
  • David Romascano
  • Gaëtan Rensonnet
  • Marco Pizzolato
  • Alice Bates
  • Elda Fischi
  • Jean Philippe Thiran
  • Erick J. Canales-Rodríguez
  • Chao Huang
  • Hongtu Zhu
  • Liming Zhong
  • Ryan Cabeen
  • Arthur W. Toga
  • Francois Rheault
  • Guillaume Theaud
  • Jean Christophe Houde
  • Jasmeen Sidhu
  • Maxime Chamberland
  • Carl Fredrik Westin
  • Tim B. Dyrby
  • Ragini Verma
  • Yogesh Rathi
  • M. Okan Irfanoglu
  • Cibu Thomas
  • Carlo Pierpaoli
  • Maxime Descoteaux
  • Adam W. Anderson
  • Bennett A. Landman

Research units

  • Vanderbilt University
  • German Cancer Research Center (DKFZ)
  • University of Southern California
  • University of Verona
  • EPFL Valais Wallis
  • University of Lausanne
  • University of North Carolina
  • Southern Medical University
  • Universite de Sherbrooke
  • Cardiff University
  • Harvard Medical School
  • University of Copenhagen
  • Danmarks Tekniske Universitet
  • University of Pennsylvania
  • Harvard University
  • National Institutes of Health

Abstract

Diffusion MRI fiber tractography is widely used to probe the structural connectivity of the brain, with a range of applications in both clinical and basic neuroscience. Despite widespread use, tractography has well-known pitfalls that limits the anatomical accuracy of this technique. Numerous modern methods have been developed to address these shortcomings through advances in acquisition, modeling, and computation. To test whether these advances improve tractography accuracy, we organized the 3-D Validation of Tractography with Experimental MRI (3D-VoTEM) challenge at the ISBI 2018 conference. We made available three unique independent tractography validation datasets – a physical phantom and two ex vivo brain specimens - resulting in 176 distinct submissions from 9 research groups. By comparing results over a wide range of fiber complexities and algorithmic strategies, this challenge provides a more comprehensive assessment of tractography's inherent limitations than has been reported previously. The central results were consistent across all sub-challenges in that, despite advances in tractography methods, the anatomical accuracy of tractography has not dramatically improved in recent years. Taken together, our results independently confirm findings from decades of tractography validation studies, demonstrate inherent limitations in reconstructing white matter pathways using diffusion MRI data alone, and highlight the need for alternative or combinatorial strategies to accurately map the fiber pathways of the brain.

    Research areas

  • Connectivity, Diffusion MRI, Phantom, Tracer, Tractography, Validation, White matter

ID: 29134848