Limits to anatomical accuracy of diffusion tractography using modern approaches

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

In: NeuroImage, Vol. 185, 15.01.2019, p. 1-11.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Schilling, KG, Nath, V, Hansen, C, Parvathaneni, P, Blaber, J, Gao, Y, Neher, P, Aydogan, DB, Shi, Y, Ocampo-Pineda, M, Schiavi, S, Daducci, A, Girard, G, Barakovic, M, Rafael-Patino, J, Romascano, D, Rensonnet, G, Pizzolato, M, Bates, A, Fischi, E, Thiran, JP, Canales-Rodríguez, EJ, Huang, C, Zhu, H, Zhong, L, Cabeen, R, Toga, AW, Rheault, F, Theaud, G, Houde, JC, Sidhu, J, Chamberland, M, Westin, CF, Dyrby, TB, Verma, R, Rathi, Y, Irfanoglu, MO, Thomas, C, Pierpaoli, C, Descoteaux, M, Anderson, AW & Landman, BA 2019, 'Limits to anatomical accuracy of diffusion tractography using modern approaches', NeuroImage, vol. 185, pp. 1-11. https://doi.org/10.1016/j.neuroimage.2018.10.029

APA

Schilling, K. G., Nath, V., Hansen, C., Parvathaneni, P., Blaber, J., Gao, Y., ... Landman, B. A. (2019). Limits to anatomical accuracy of diffusion tractography using modern approaches. NeuroImage, 185, 1-11. https://doi.org/10.1016/j.neuroimage.2018.10.029

Vancouver

Schilling KG, Nath V, Hansen C, Parvathaneni P, Blaber J, Gao Y et al. Limits to anatomical accuracy of diffusion tractography using modern approaches. NeuroImage. 2019 Jan 15;185:1-11. https://doi.org/10.1016/j.neuroimage.2018.10.029

Author

Schilling, Kurt G. ; Nath, Vishwesh ; Hansen, Colin ; Parvathaneni, Prasanna ; Blaber, Justin ; Gao, Yurui ; Neher, Peter ; Aydogan, Dogu Baran ; Shi, Yonggang ; Ocampo-Pineda, Mario ; Schiavi, Simona ; Daducci, Alessandro ; Girard, Gabriel ; Barakovic, Muhamed ; Rafael-Patino, Jonathan ; Romascano, David ; Rensonnet, Gaëtan ; Pizzolato, Marco ; Bates, Alice ; Fischi, Elda ; Thiran, Jean Philippe ; Canales-Rodríguez, Erick J. ; Huang, Chao ; Zhu, Hongtu ; Zhong, Liming ; Cabeen, Ryan ; Toga, Arthur W. ; Rheault, Francois ; Theaud, Guillaume ; Houde, Jean Christophe ; Sidhu, Jasmeen ; Chamberland, Maxime ; Westin, Carl Fredrik ; Dyrby, Tim B. ; Verma, Ragini ; Rathi, Yogesh ; Irfanoglu, M. Okan ; Thomas, Cibu ; Pierpaoli, Carlo ; Descoteaux, Maxime ; Anderson, Adam W. ; Landman, Bennett A. / Limits to anatomical accuracy of diffusion tractography using modern approaches. In: NeuroImage. 2019 ; Vol. 185. pp. 1-11.

Bibtex - Download

@article{d72f175a8d8c4f4099e7ba6d716b304c,
title = "Limits to anatomical accuracy of diffusion tractography using modern approaches",
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.",
keywords = "Connectivity, Diffusion MRI, Phantom, Tracer, Tractography, Validation, White matter",
author = "Schilling, {Kurt G.} and Vishwesh Nath and Colin Hansen and Prasanna Parvathaneni and Justin Blaber and Yurui Gao and Peter Neher and Aydogan, {Dogu Baran} and Yonggang Shi and Mario Ocampo-Pineda and Simona Schiavi and Alessandro Daducci and Gabriel Girard and Muhamed Barakovic and Jonathan Rafael-Patino and David Romascano and Ga{\"e}tan Rensonnet and Marco Pizzolato and Alice Bates and Elda Fischi and Thiran, {Jean Philippe} and Canales-Rodr{\'i}guez, {Erick J.} and Chao Huang and Hongtu Zhu and Liming Zhong and Ryan Cabeen and Toga, {Arthur W.} and Francois Rheault and Guillaume Theaud and Houde, {Jean Christophe} and Jasmeen Sidhu and Maxime Chamberland and Westin, {Carl Fredrik} and Dyrby, {Tim B.} and Ragini Verma and Yogesh Rathi and Irfanoglu, {M. Okan} and Cibu Thomas and Carlo Pierpaoli and Maxime Descoteaux and Anderson, {Adam W.} and Landman, {Bennett A.}",
year = "2019",
month = "1",
day = "15",
doi = "10.1016/j.neuroimage.2018.10.029",
language = "English",
volume = "185",
pages = "1--11",
journal = "NeuroImage",
issn = "1053-8119",

}

RIS - Download

TY - JOUR

T1 - Limits to anatomical accuracy of diffusion tractography using modern approaches

AU - Schilling, Kurt G.

AU - Nath, Vishwesh

AU - Hansen, Colin

AU - Parvathaneni, Prasanna

AU - Blaber, Justin

AU - Gao, Yurui

AU - Neher, Peter

AU - Aydogan, Dogu Baran

AU - Shi, Yonggang

AU - Ocampo-Pineda, Mario

AU - Schiavi, Simona

AU - Daducci, Alessandro

AU - Girard, Gabriel

AU - Barakovic, Muhamed

AU - Rafael-Patino, Jonathan

AU - Romascano, David

AU - Rensonnet, Gaëtan

AU - Pizzolato, Marco

AU - Bates, Alice

AU - Fischi, Elda

AU - Thiran, Jean Philippe

AU - Canales-Rodríguez, Erick J.

AU - Huang, Chao

AU - Zhu, Hongtu

AU - Zhong, Liming

AU - Cabeen, Ryan

AU - Toga, Arthur W.

AU - Rheault, Francois

AU - Theaud, Guillaume

AU - Houde, Jean Christophe

AU - Sidhu, Jasmeen

AU - Chamberland, Maxime

AU - Westin, Carl Fredrik

AU - Dyrby, Tim B.

AU - Verma, Ragini

AU - Rathi, Yogesh

AU - Irfanoglu, M. Okan

AU - Thomas, Cibu

AU - Pierpaoli, Carlo

AU - Descoteaux, Maxime

AU - Anderson, Adam W.

AU - Landman, Bennett A.

PY - 2019/1/15

Y1 - 2019/1/15

N2 - 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.

AB - 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.

KW - Connectivity

KW - Diffusion MRI

KW - Phantom

KW - Tracer

KW - Tractography

KW - Validation

KW - White matter

UR - http://www.scopus.com/inward/record.url?scp=85054788458&partnerID=8YFLogxK

U2 - 10.1016/j.neuroimage.2018.10.029

DO - 10.1016/j.neuroimage.2018.10.029

M3 - Article

VL - 185

SP - 1

EP - 11

JO - NeuroImage

JF - NeuroImage

SN - 1053-8119

ER -

ID: 29134848