RT Journal Article
T1 Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?
A1 Schilling, Kurt G.
A1 Rheault, François
A1 Petit, Laurent
A1 Hansen, Colin B.
A1 Nath, Vishwesh
A1 Yeh, Fang-Cheng
A1 Girard, Gabriel
A1 Barakovic, Muhamed
A1 Rafael-Patino, Jonathan
A1 Yu, Thomas
A1 Fischi-Gomez, Elda
A1 Pizzolato, Marco
A1 Ocampo-Pineda, Mario
A1 Schiavi, Simona
A1 Canales-Rodríguez, Erick J.
A1 Daducci, Alessandro
A1 Granziera, Cristina
A1 Innocenti, Giorgio
A1 Thiran, Jean-Philippe
A1 Mancini, Laura
A1 Wastling, Stephen
A1 Cocozza, Sirio
A1 Petracca, Maria
A1 Pontillo, Giuseppe
A1 Mancini, Matteo
A1 Vos, Sjoerd B.
A1 Vakharia, Vejay N.
A1 Duncan, John S.
A1 Melero Carrasco, Helena
A1 Manzanedo, Lidia
A1 Sanz-Morales, Emilio
A1 Peña-Melián, Ángel
A1 Calamante, Fernando
A1 Attyé, Arnaud
A1 Cabeen, Ryan P.
A1 Korobova, Laura
A1 Toga, Arthur W.
A1 Vijayakumari, Anupa Ambili
A1 Parker, Drew
A1 Verma, Ragini
A1 Radwan, Ahmed
A1 Sunaert, Stefan
A1 Emsell, Louise
A1 De Luca, Alberto
A1 Leemans, Alexander
A1 Bajada, Claude J.
A1 Haroon, Hamied
A1 Azadbakht, Hojjatollah
A1 Chamberland, Maxime
A1 Genc, Sila
A1 Tax, Chantal M.W.
A1 Yeh, Ping-Hong
A1 Srikanchana, Rujirutana
A1 Mcknight, Colin D.
A1 Yang, Joseph Yuan-Mou
A1 Chen, Jian
A1 Kelly, Claire E.
A1 Yeh, Chun-Hung
A1 Cochereau, Jerome
A1 Maller, Jerome J.
A1 Welton, Thomas
A1 Almairac, Fabien
A1 Seunarine, Kiran K
A1 Clark, Chris A.
A1 Zhang, Fan
A1 Makris, Nikos
A1 Golby, Alexandra
A1 Rathi, Yogesh
A1 O'Donnell, Lauren J.
A1 Xia, Yihao
A1 Aydogan, Dogu Baran
A1 Shi, Yonggang
A1 Guerreiro Fernandes, Francisco
A1 Raemaekers, Mathijs
A1 Warrington, Shaun
A1 Michielse, Stijn
A1 Ramírez-Manzanares, Alonso
A1 Concha, Luis
A1 Aranda, Ramón
A1 Rivera Meraz, Mariano
A1 Lerma-Usabiaga, Garikoitz
A1 Roitman, Lucas
A1 Fekonja, Lucius S.
A1 Calarco, Navona
A1 Joseph, Michael
A1 Nakua, Hajer
A1 Voineskos, Aristotle N.
A1 Karan, Philippe
A1 Grenier, Gabrielle
A1 Legarreta, Jon Haitz
A1 Adluru, Nagesh
A1 Nair, Veena A.
A1 Prabhakaran, Vivek
A1 Alexander, Andrew L.
A1 Kamagata, Koji
A1 Saito, Yuya
A1 Uchida, Wataru
A1 Andica, Christina
A1 Abe, Masahiro
A1 Bayrak, Roza G.
A1 Gandini Wheeler-Kingshott, Claudia A.M.
A1 D'Angelo, Egidio
A1 Palesi, Fulvia
A1 Savini, Giovanni
A1 Rolandi, Nicolò
A1 Guevara, Pamela
A1 Houenou, Josselin
A1 López-López, Narciso
A1 Mangin, Jean-François
A1 Poupon, Cyril
A1 Claudio Román, Claudio
A1 Vázquez, Andrea
A1 Maffei, Chiara
A1 Arantes, Mavilde
A1 Andrade, José Paulo
A1 Silva, Susana Maria
A1 Calhoun, Vince D.
A1 Caverzasi, Eduardo
A1 Sacco, Simone
A1 Lauricella, Michael
A1 Pestilli, Franco
A1 Daniel Bullock, Daniel
A1 Zhan, Yang
A1 Brignoni-Perez, Edith
A1 Lebel, Catherine
A1 Reynolds, Jess E
A1 Nestrasil, Igor
A1 Labounek, René
A1 Lenglet, Christophe
A1 Paulson, Amy
A1 Aulicka, Stefania
A1 Heilbronner, Sarah R.
A1 Heuer, Katja
A1 Chandio, Bramsh Qamar
A1 Guaje, Javier
A1 Tang, Wei
A1 Garyfallidis, Eleftherios
A1 Raja, Rajikha
A1 Anderson, Adam W.
A1 Landman, Bennett A.
A1 Descoteaux, Maxime
AB White matter bundle segmentation using diffusion MRI fiber tractography has become the method of choice to identify white matter fiber pathways in vivo in human brains. However, like other analyses of complex data, there is considerable variability in segmentation protocols and techniques. This can result in different reconstructions of the same intended white matter pathways, which directly affects tractography results, quantification, and interpretation. In this study, we aim to evaluate and quantify the variability that arises from different protocols for bundle segmentation. Through an open call to users of fiber tractography, including anatomists, clinicians, and algorithm developers, 42 independent teams were given processed sets of human whole-brain streamlines and asked to segment 14 white matter fascicles on six subjects. In total, we received 57 different bundle segmentation protocols, which enabled detailed volume-based and streamline-based analyses of agreement and disagreement among protocols for each fiber pathway. Results show that even when given the exact same sets of underlying streamlines, the variability across protocols for bundle segmentation is greater than all other sources of variability in the virtual dissection process, including variability within protocols and variability across subjects. In order to foster the use of tractography bundle dissection in routine clinical settings, and as a fundamental analytical tool, future endeavors must aim to resolve and reduce this heterogeneity. Although external validation is needed to verify the anatomical accuracy of bundle dissections, reducing heterogeneity is a step towards reproducible research and may be achieved through the use of standard nomenclature and definitions of white matter bundles and well-chosen constraints and decisions in the dissection process
PB Elsevier
SN 1053-8119
YR 2021
FD 2021-08-22
LK https://hdl.handle.net/20.500.14352/99906
UL https://hdl.handle.net/20.500.14352/99906
LA eng
DS Docta Complutense
RD 20 jul 2024