Andrey Zhylka1, Alexander Leemans2, Josien P W Pluim3, Alberto De Luca2,4. 1. Biomedical Engineering, Eindhoven University of Technology, Rondom 70, 5612 AP, Eindhoven, The Netherlands. a.zhylka@tue.nl. 2. Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands. 3. Biomedical Engineering, Eindhoven University of Technology, Rondom 70, 5612 AP, Eindhoven, The Netherlands. 4. Neurology Department, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.
Abstract
OBJECTIVES: Diffusion-weighted MRI can assist preoperative planning by reconstructing the trajectory of eloquent fiber pathways, such as the corticospinal tract (CST). However, accurate reconstruction of the full extent of the CST remains challenging with existing tractography methods. We suggest a novel tractography algorithm exploiting unused fiber orientations to produce more complete and reliable results. METHODS: Our novel approach, referred to as multi-level fiber tractography (MLFT), reconstructs fiber pathways by progressively considering previously unused fiber orientations at multiple levels of tract propagation. Anatomical priors are used to minimize the number of false-positive pathways. The MLFT method was evaluated on synthetic data and in vivo data by reconstructing the CST while compared to conventional tractography approaches. RESULTS: The radial extent of MLFT reconstructions is comparable to that of probabilistic reconstruction: [Formula: see text] for the left and [Formula: see text] for the right hemisphere according to Wilcoxon test, while achieving significantly higher topography preservation compared to probabilistic tractography: [Formula: see text]. DISCUSSION: MLFT provides a novel way to reconstruct fiber pathways by adding the capability of including branching pathways in fiber tractography. Thanks to its robustness, feasible reconstruction extent and topography preservation, our approach may assist in clinical practice as well as in virtual dissection studies.
OBJECTIVES: Diffusion-weighted MRI can assist preoperative planning by reconstructing the trajectory of eloquent fiber pathways, such as the corticospinal tract (CST). However, accurate reconstruction of the full extent of the CST remains challenging with existing tractography methods. We suggest a novel tractography algorithm exploiting unused fiber orientations to produce more complete and reliable results. METHODS: Our novel approach, referred to as multi-level fiber tractography (MLFT), reconstructs fiber pathways by progressively considering previously unused fiber orientations at multiple levels of tract propagation. Anatomical priors are used to minimize the number of false-positive pathways. The MLFT method was evaluated on synthetic data and in vivo data by reconstructing the CST while compared to conventional tractography approaches. RESULTS: The radial extent of MLFT reconstructions is comparable to that of probabilistic reconstruction: [Formula: see text] for the left and [Formula: see text] for the right hemisphere according to Wilcoxon test, while achieving significantly higher topography preservation compared to probabilistic tractography: [Formula: see text]. DISCUSSION: MLFT provides a novel way to reconstruct fiber pathways by adding the capability of including branching pathways in fiber tractography. Thanks to its robustness, feasible reconstruction extent and topography preservation, our approach may assist in clinical practice as well as in virtual dissection studies.
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Authors: Klaus H Maier-Hein; Peter F Neher; Jean-Christophe Houde; Marc-Alexandre Côté; Eleftherios Garyfallidis; Jidan Zhong; Maxime Chamberland; Fang-Cheng Yeh; Ying-Chia Lin; Qing Ji; Wilburn E Reddick; John O Glass; David Qixiang Chen; Yuanjing Feng; Chengfeng Gao; Ye Wu; Jieyan Ma; Renjie He; Qiang Li; Carl-Fredrik Westin; Samuel Deslauriers-Gauthier; J Omar Ocegueda González; Michael Paquette; Samuel St-Jean; Gabriel Girard; François Rheault; Jasmeen Sidhu; Chantal M W Tax; Fenghua Guo; Hamed Y Mesri; Szabolcs Dávid; Martijn Froeling; Anneriet M Heemskerk; Alexander Leemans; Arnaud Boré; Basile Pinsard; Christophe Bedetti; Matthieu Desrosiers; Simona Brambati; Julien Doyon; Alessia Sarica; Roberta Vasta; Antonio Cerasa; Aldo Quattrone; Jason Yeatman; Ali R Khan; Wes Hodges; Simon Alexander; David Romascano; Muhamed Barakovic; Anna Auría; Oscar Esteban; Alia Lemkaddem; Jean-Philippe Thiran; H Ertan Cetingul; Benjamin L Odry; Boris Mailhe; Mariappan S Nadar; Fabrizio Pizzagalli; Gautam Prasad; Julio E Villalon-Reina; Justin Galvis; Paul M Thompson; Francisco De Santiago Requejo; Pedro Luque Laguna; Luis Miguel Lacerda; Rachel Barrett; Flavio Dell'Acqua; Marco Catani; Laurent Petit; Emmanuel Caruyer; Alessandro Daducci; Tim B Dyrby; Tim Holland-Letz; Claus C Hilgetag; Bram Stieltjes; Maxime Descoteaux Journal: Nat Commun Date: 2017-11-07 Impact factor: 14.919