| Literature DB >> 30317017 |
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.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