ArticleIEEE transactions on medical imaging2015
Fiber Orientation and Compartment Parameter Estimation From Multi-Shell Diffusion Imaging.
Article in IEEE transactions on medical imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 1 of them a synthesis that pooled it.
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Who cites it
46 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Tractography reproducibility challenge with empirical data (TraCED): The 2017 ISMRM diffusion study group challenge.Journal of magnetic resonance imaging : JMRI · 2020Pooled it
- Diffusion-based generative fiber orientation restoration from severe signal loss in diffusion-weighted MRI.Medical image analysis · 2026Article
- Diffusion MRI sampling schemes bias diffusion metrics and tractography.Frontiers in neuroimaging · 2026Article
- Connectome disruptions after hypoxic-ischaemic injury associate with consciousness disorder severity.Brain communications · 2026Article
- A Wasserstein-Space-Based Framework for Processing Fiber Orientation Geometry in Diffusion MRI.IEEE transactions on medical imaging · 2026Article
- GPU Accelerated Modeling of Cortical Radial and Tangential Connectivity Changes in Neurodegeneration.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2026Article
- AUTOENCODER FOR 4-DIMENSIONAL FIBER ORIENTATION DISTRIBUTIONS FROM DIFFUSION MRI.Proceedings. IEEE International Symposium on Biomedical Imaging · 2025Article
- Real-Time Tractography-Assisted Neuronavigation for Transcranial Magnetic Stimulation.Human brain mapping · 2025Article
- Surface-based and Shape-informed U-fiber Atlasing for Robust Superficial White Matter Connectivity Analysis.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2024Article
- Article
- Diffusion MRI harmonization via personalized template mapping.Human brain mapping · 2024Article
- Surface-Based Probabilistic Fiber Tracking in Superficial White Matter.IEEE transactions on medical imaging · 2024Article
- Flow-based Geometric Interpolation of Fiber Orientation Distribution Functions.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2023Article
- Limb-specific thalamocortical tracts are impaired differently in hemiplegic and diplegic subtypes of cerebral palsy.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge.NeuroImage · 2023Article
- Acquisition and Analysis of Excised Neocortex from Pediatric Patients with Focal Cortical Dysplasia Using Mesoscale Diffusion MRI.Diagnostics (Basel, Switzerland) · 2023Article
- Automated Mapping of Residual Distortion Severity in Diffusion MRI.Computational diffusion MRI. CDMRI (Workshop) · 2023Article
- Identification of proprioceptive thalamocortical tracts in children: comparison of fMRI, MEG, and manual seeding of probabilistic tractography.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI.NeuroImage · 2022Article
- Unsupervised Deep Learning for FOD-Based Susceptibility Distortion Correction in Diffusion MRI.IEEE transactions on medical imaging · 2022Article
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Authors and funding
2 authors.
Funding
Abstract
Diffusion MRI offers the unique opportunity of assessing the structural connections of human brains in vivo. With the advance of diffusion MRI technology, multi-shell imaging methods are becoming increasingly practical for large scale studies and clinical application. In this work, we propose a novel method for the analysis of multi-shell diffusion imaging data by incorporating compartment models into a spherical deconvolution framework for fiber orientation distribution (FOD) reconstruction. For numerical implementation, we develop an adaptively constrained energy minimization approach to efficiently compute the solution. On simulated and real data from Human Connectome Project (HCP), we show that our method not only reconstructs sharp and clean FODs for the modeling of fiber crossings, but also generates reliable estimation of compartment parameters with great potential for clinical research of neurological diseases. In comparisons with publicly available DSI-Studio and BEDPOSTX of FSL, we demonstrate that our method reconstructs sharper FODs with more precise estimation of fiber directions. By applying probabilistic tractography to the FODs computed by our method, we show that more complete reconstruction of the corpus callosum bundle can be achieved. On a clinical, two-shell diffusion imaging data, we also demonstrate the feasibility of our method in analyzing white matter lesions.
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