Tractostorm: The what, why, and how of tractography dissection reproducibility
| Autor: | Maxime Chamberland, Silvio Sarubbo, Janice Hau, Felix C. Morency, Laurent Petit, Kristofer Pomiecko, Quentin Chenot, Ilyess Zemmoura, Chantal M. W. Tax, Maxime Descoteaux, Alessandro Daducci, Kelly Glavin, Muhamed Barakovic, Guillaume Theaud, François Rheault, Francesco Corrivetti, Chiara Maffei, Kesshi Jordan, Alessandro De Benedictis, Gabriel Girard, Eduardo Caverzasi, Nil Goyette, Franco Pestilli, Philippe Poulin, David Romascano, Sandip S. Panesar |
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| Přispěvatelé: | Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE), Sherbrooke Connectivity Imaging Lab [Sherbrooke] (SCIL), Département d'informatique [Sherbrooke] (UdeS), Faculté des sciences [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS)-Faculté des sciences [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS), Department of Neuroscience and Neurorehabilitation, Neurosurgery Unit, Bambino Ges u Children’s Hospital – IRCCS, 4 Piazza Sant’Onofrio, Roma, 00165, Italy, Department of Computer Science [Verona] (UNIVR | DI), Università degli studi di Verona = University of Verona (UNIVR), Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], Cardiff University's Brain Research Imaging Centre [Cardiff] (CUBRIC), School of Psychology [Cardiff University], Cardiff University-Cardiff University, Signal Processing Laboratory [Lausanne] (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Department of Neurology (University of California : San Francisco), University of California [San Francisco] (UC San Francisco), University of California (UC)-University of California (UC), Imeka Solutions, Sherbrooke, Hôpital Lariboisière-Fernand-Widal [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Department of Psychological and Brain Sciences, Indiana University, Imagerie et cerveau (iBrain - Inserm U1253 - UNIV Tours ), Université de Tours (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Brain Development Imaging Laboratories, Department of Psychology, San Diego State University, Learning Research & Development Center (LRDC), University of Pittsburgh, Institut Supérieur de l'Aéronautique et de l'Espace (ISAE-SUPAERO), Department of Neurosurgery [Stanford], Stanford Medicine, Stanford University-Stanford University, Department of Neurosciences, Division of Neurosurgery, 'S. Chiara' Hospital, Trento APSS – 9 Largo Medaglie D’Oro, Trento, 38122, Italy, Groupe d'imagerie neurofonctionnelle (GIN), Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Petit, Laurent, University of Verona (UNIVR), Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS), University of California [San Francisco] (UCSF), University of California-University of California, Université de Tours-Institut National de la Santé et de la Recherche Médicale (INSERM), ISAE-SUPAERO, Université de Toulouse, Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Standardization
Computer science diffusion tractography tractography computer.software_genre diffusion MRI 0302 clinical medicine inter-rater Segmentation Research Articles Observer Variation Radiological and Ultrasound Technology Dissection 05 social sciences White matter hippocampal segmentation Bundle segmentation White Matter Reproducibility intra-rater 3. Good health Diffusion Tensor Imaging inter‐rater Neurology manual segmentation Anatomy adni harmonized protocol bundle segmentation Tractography fractional anisotropy Research Article Intra‐rater Machine learning 050105 experimental psychology Diffusion MRI 03 medical and health sciences fiber tracking Fractional anisotropy Humans 0501 psychology and cognitive sciences Radiology Nuclear Medicine and imaging intra‐rater reproducibility Protocol (science) multi-atlas segmentation business.industry [SCCO.NEUR]Cognitive science/Neuroscience Inter‐rater [SCCO.NEUR] Cognitive science/Neuroscience Neurosciences Reproducibility of Results cross-correlation white-matter pathways Inter-rater reliability Diffusion Magnetic Resonance Imaging Bundle tensor imaging tractography Anisotropy Neurology (clinical) Artificial intelligence business computer 030217 neurology & neurosurgery |
| Zdroj: | Human Brain Mapping Human Brain Mapping, 2020, 41 (7), pp.1859-1874. ⟨10.1002/hbm.24917⟩ Human Brain Mapping, Wiley, 2020, 41 (7), pp.1859-1874. ⟨10.1002/hbm.24917⟩ |
| ISSN: | 1065-9471 1097-0193 |
| DOI: | 10.1002/hbm.24917⟩ |
| Popis: | Investigative studies of white matter (WM) brain structures using diffusion MRI (dMRI) tractography frequently require manual WM bundle segmentation, often called “virtual dissection.” Human errors and personal decisions make these manual segmentations hard to reproduce, which have not yet been quantified by the dMRI community. It is our opinion that if the field of dMRI tractography wants to be taken seriously as a widespread clinical tool, it is imperative to harmonize WM bundle segmentations and develop protocols aimed to be used in clinical settings. The EADC‐ADNI Harmonized Hippocampal Protocol achieved such standardization through a series of steps that must be reproduced for every WM bundle. This article is an observation of the problematic. A specific bundle segmentation protocol was used in order to provide a real‐life example, but the contribution of this article is to discuss the need for reproducibility and standardized protocol, as for any measurement tool. This study required the participation of 11 experts and 13 nonexperts in neuroanatomy and “virtual dissection” across various laboratories and hospitals. Intra‐rater agreement (Dice score) was approximately 0.77, while inter‐rater was approximately 0.65. The protocol provided to participants was not necessarily optimal, but its design mimics, in essence, what will be required in future protocols. Reporting tractometry results such as average fractional anisotropy, volume or streamline count of a particular bundle without a sufficient reproducibility score could make the analysis and interpretations more difficult. Coordinated efforts by the diffusion MRI tractography community are needed to quantify and account for reproducibility of WM bundle extraction protocols in this era of open and collaborative science. |
| Databáze: | OpenAIRE |
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