Published May 2018
| Version v1
Journal article
A comparison of three fiber tract delineation methods and their impact on white matter analysis
Contributors
Others:
- Psychiatry Neuroimaging Laboratory (PNL) ; Brigham and Women's Hospital [Boston]
- Department of Psychiatry Massachusetts General Hospital (MGH)
- Menninger Department of Psychiatry and Behavioral Sciences ; Baylor College of Medicine (BCM) ; Baylor University-Baylor University
- Laboratory of Mathematics in Imaging [Boston] ; Brigham and Women's Hospital [Boston]
- Department of Radiology [Boston] ; Brigham and Women's Hospital [Boston]
- Departments of Psychiatry and Radiology [Boston] ; Brigham and Women's Hospital [Boston]
- Center for Morphometric Analysis (CMA) ; Massachusetts General Hospital [Boston]
- Computational Imaging of the Central Nervous System (ATHENA) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- Modelling brain structure, function and variability based on high-field MRI data (PARIETAL) ; Service NEUROSPIN (NEUROSPIN) ; Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) ; Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) ; Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Inria Saclay - Ile de France ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- European Project: 757672,H2020 Pilier ERC,NeuroLang(2018)
Description
Diffusion magnetic resonance imaging (dMRI) is an important method for studying white matter connectivity in the brain in vivo in both healthy and clinical populations. Improvements in dMRI tractography algorithms, which reconstruct macroscopic three-dimensional white matter fiber pathways, have allowed for methodological advances in the study of white matter; however, insufficient attention has been paid to comparing post-tractography methods that extract white matter fiber tracts of interest from whole-brain tractography. Here we conduct a comparison of three representative and conceptually distinct approaches to fiber tract delineation: 1) a manual multiple region of interest-based approach, 2) an atlas-based approach, and 3) a groupwise fiber clustering approach, by employing methods that exemplify these approaches to delineate the arcuate fasciculus, the middle longitudinal fasciculus, and the uncinate fasciculus in 10 healthy male subjects. We enable qualitative comparisons across methods, conduct quantitative evaluations
Abstract
International audienceAdditional details
Identifiers
- URL
- https://hal.inria.fr/hal-01807178
- URN
- urn:oai:HAL:hal-01807178v1
Origin repository
- Origin repository
- UNICA