Literature DB >> 30317017

Limits to anatomical accuracy of diffusion tractography using modern approaches.

Kurt G Schilling1, Vishwesh Nath2, Colin Hansen3, Prasanna Parvathaneni3, Justin Blaber3, Yurui Gao4, Peter Neher5, Dogu Baran Aydogan6, Yonggang Shi6, Mario Ocampo-Pineda7, Simona Schiavi7, Alessandro Daducci7, Gabriel Girard8, Muhamed Barakovic8, Jonathan Rafael-Patino8, David Romascano8, Gaëtan Rensonnet8, Marco Pizzolato8, Alice Bates8, Elda Fischi8, Jean-Philippe Thiran9, Erick J Canales-Rodríguez9, Chao Huang10, Hongtu Zhu10, Liming Zhong11, Ryan Cabeen6, Arthur W Toga6, Francois Rheault12, Guillaume Theaud12, Jean-Christophe Houde12, Jasmeen Sidhu12, Maxime Chamberland13, Carl-Fredrik Westin14, Tim B Dyrby15, Ragini Verma16, Yogesh Rathi17, M Okan Irfanoglu18, Cibu Thomas19, Carlo Pierpaoli18, Maxime Descoteaux12, Adam W Anderson20, Bennett A Landman21.   

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.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Connectivity; Diffusion MRI; Phantom; Tracer; Tractography; Validation; White matter

Mesh:

Year:  2018        PMID: 30317017      PMCID: PMC6551229          DOI: 10.1016/j.neuroimage.2018.10.029

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  55 in total

1.  The adaptive bases algorithm for intensity-based nonrigid image registration.

Authors:  Gustavo K Rohde; Akram Aldroubi; Benoit M Dawant
Journal:  IEEE Trans Med Imaging       Date:  2003-11       Impact factor: 10.048

2.  Determining and visualizing uncertainty in estimates of fiber orientation from diffusion tensor MRI.

Authors:  Derek K Jones
Journal:  Magn Reson Med       Date:  2003-01       Impact factor: 4.668

3.  Optimal imaging parameters for fiber-orientation estimation in diffusion MRI.

Authors:  Daniel C Alexander; Gareth J Barker
Journal:  Neuroimage       Date:  2005-08-15       Impact factor: 6.556

4.  The effects of brain tissue decomposition on diffusion tensor imaging and tractography.

Authors:  Helen D'Arceuil; Alex de Crespigny
Journal:  Neuroimage       Date:  2007-03-06       Impact factor: 6.556

5.  3D histological reconstruction of fiber tracts and direct comparison with diffusion tensor MRI tractography.

Authors:  Julien Dauguet; Sharon Peled; Vladimir Berezovskii; Thierry Delzescaux; Simon K Warfield; Richard Born; Carl-Fredrik Westin
Journal:  Med Image Comput Comput Assist Interv       Date:  2006

6.  About "axial" and "radial" diffusivities.

Authors:  Claudia A M Wheeler-Kingshott; Mara Cercignani
Journal:  Magn Reson Med       Date:  2009-05       Impact factor: 4.668

7.  A software tool to generate simulated white matter structures for the assessment of fibre-tracking algorithms.

Authors:  Thomas G Close; Jacques-Donald Tournier; Fernando Calamante; Leigh A Johnston; Iven Mareels; Alan Connelly
Journal:  Neuroimage       Date:  2009-04-08       Impact factor: 6.556

8.  Tracking neuronal fiber pathways in the living human brain.

Authors:  T E Conturo; N F Lori; T S Cull; E Akbudak; A Z Snyder; J S Shimony; R C McKinstry; H Burton; M E Raichle
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-31       Impact factor: 11.205

9.  Detection and modeling of non-Gaussian apparent diffusion coefficient profiles in human brain data.

Authors:  D C Alexander; G J Barker; S R Arridge
Journal:  Magn Reson Med       Date:  2002-08       Impact factor: 4.668

10.  Validation of in vitro probabilistic tractography.

Authors:  Tim B Dyrby; Lise V Søgaard; Geoffrey J Parker; Daniel C Alexander; Nanna M Lind; William F C Baaré; Anders Hay-Schmidt; Nina Eriksen; Bente Pakkenberg; Olaf B Paulson; Jacob Jelsing
Journal:  Neuroimage       Date:  2007-07-10       Impact factor: 6.556

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  66 in total

Review 1.  Challenges in diffusion MRI tractography - Lessons learned from international benchmark competitions.

Authors:  Kurt G Schilling; Alessandro Daducci; Klaus Maier-Hein; Cyril Poupon; Jean-Christophe Houde; Vishwesh Nath; Adam W Anderson; Bennett A Landman; Maxime Descoteaux
Journal:  Magn Reson Imaging       Date:  2018-11-29       Impact factor: 2.546

2.  Mapping the human subcortical auditory system using histology, postmortem MRI and in vivo MRI at 7T.

Authors:  Kevin R Sitek; Omer Faruk Gulban; Satrajit S Ghosh; Federico De Martino; Evan Calabrese; G Allan Johnson; Agustin Lage-Castellanos; Michelle Moerel
Journal:  Elife       Date:  2019-08-01       Impact factor: 8.140

3.  Tractography reproducibility challenge with empirical data (TraCED): The 2017 ISMRM diffusion study group challenge.

Authors:  Vishwesh Nath; Kurt G Schilling; Prasanna Parvathaneni; Yuankai Huo; Justin A Blaber; Allison E Hainline; Muhamed Barakovic; David Romascano; Jonathan Rafael-Patino; Matteo Frigo; Gabriel Girard; Jean-Philippe Thiran; Alessandro Daducci; Matt Rowe; Paulo Rodrigues; Vesna Prčkovska; Dogu B Aydogan; Wei Sun; Yonggang Shi; William A Parker; Abdol A Ould Ismail; Ragini Verma; Ryan P Cabeen; Arthur W Toga; Allen T Newton; Jakob Wasserthal; Peter Neher; Klaus Maier-Hein; Giovanni Savini; Fulvia Palesi; Enrico Kaden; Ye Wu; Jianzhong He; Yuanjing Feng; Michael Paquette; Francois Rheault; Jasmeen Sidhu; Catherine Lebel; Alexander Leemans; Maxime Descoteaux; Tim B Dyrby; Hakmook Kang; Bennett A Landman
Journal:  J Magn Reson Imaging       Date:  2019-06-09       Impact factor: 4.813

4.  Diffusion MRI microstructural models in the cervical spinal cord - Application, normative values, and correlations with histological analysis.

Authors:  Kurt G Schilling; Samantha By; Haley R Feiler; Bailey A Box; Kristin P O'Grady; Atlee Witt; Bennett A Landman; Seth A Smith
Journal:  Neuroimage       Date:  2019-07-19       Impact factor: 6.556

5.  Cellular Automata Tractography: Fast Geodesic Diffusion MR Tractography and Connectivity Based Segmentation on the GPU.

Authors:  Andac Hamamci
Journal:  Neuroinformatics       Date:  2020-01

6.  Histologically derived fiber response functions for diffusion MRI vary across white matter fibers-An ex vivo validation study in the squirrel monkey brain.

Authors:  Kurt G Schilling; Yurui Gao; Iwona Stepniewska; Vaibhav Janve; Bennett A Landman; Adam W Anderson
Journal:  NMR Biomed       Date:  2019-03-25       Impact factor: 4.044

7.  Holographic Reconstruction of Axonal Pathways in the Human Brain.

Authors:  Mikkel V Petersen; Jeffrey Mlakar; Suzanne N Haber; Martin Parent; Yoland Smith; Peter L Strick; Mark A Griswold; Cameron C McIntyre
Journal:  Neuron       Date:  2019-11-07       Impact factor: 17.173

8.  U-shape short-range extrinsic connectivity organisation around the human central sulcus.

Authors:  Alexandre Pron; Christine Deruelle; Olivier Coulon
Journal:  Brain Struct Funct       Date:  2020-11-27       Impact factor: 3.270

9.  Brain connections derived from diffusion MRI tractography can be highly anatomically accurate-if we know where white matter pathways start, where they end, and where they do not go.

Authors:  Kurt G Schilling; Laurent Petit; Francois Rheault; Samuel Remedios; Carlo Pierpaoli; Adam W Anderson; Bennett A Landman; Maxime Descoteaux
Journal:  Brain Struct Funct       Date:  2020-08-20       Impact factor: 3.270

Review 10.  Estimating Brain Connectivity With Diffusion-Weighted Magnetic Resonance Imaging: Promise and Peril.

Authors:  Mark D Grier; Jan Zimmermann; Sarah R Heilbronner
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2020-04-27
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