ArticleNMR in biomedicine2020
Fast and accurate initialization of the free-water imaging model parameters from multi-shell diffusion MRI.
Article in NMR in biomedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Validation of automated DTI-ALPS and free water index as potential survival stratification markers in IDH-wildtype glioblastoma.Neuroradiology · 2026Article
- Putative glymphatic function and free water in schizophrenia: A 7T DTI study across psychosis stages.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- The Association Between Changes in White Matter Microstructure and Cognitive Function in Older Adults with Mild Cognitive Impairment.Brain sciences · 2026Article
- Reproducibility and Reliability of Free-Water-Corrected Diffusion Tensor Imaging of the Brain: Revisited.Human brain mapping · 2026Article
- Tissue-specific diffusion abnormalities and localized free-water reductions in hypertension despite no detectable group difference in the DTI-ALPS index.Frontiers in medicine · 2026Article
- The pathogenesis of cerebral small vessel disease and vascular cognitive impairment.Physiological reviews · 2025Review
- Deep learning-based free-water correction for single-shell diffusion MRI.Magnetic resonance imaging · 2025Article
- Investigating white matter alterations in Parkinson's disease using multi-shell free-water DTI and NODDI: insights into neurodegeneration and levodopa effects.Frontiers in neurology · 2025Article
- Alterations in functional and structural connectivity in the 6-OHDA-induced Parkinsonian rat model.Frontiers in neuroscience · 2025Article
- Study protocol TransTAM: Transdiagnostic research into emotional disorders and cognitive-behavioral therapy of the adaptive mind.BMC psychiatry · 2024Article
- Longitudinal microstructural alterations surrounding subcortical ischemic stroke lesions detected by free-water imaging.Human brain mapping · 2024Article
- Learning-based Free-Water Correction using Single-shell Diffusion MRI.Proceedings of SPIE--the International Society for Optical Engineering · 2024Article
- The trouble with free-water elimination using single-shell diffusion MRI data: A case study in ageing.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Shared and distinct white matter abnormalities in adolescent-onset schizophrenia and adolescent-onset psychotic bipolar disorder.Psychological medicine · 2023Article
- Free water imaging unravels unique patterns of longitudinal structural brain changes in Parkinson's disease subtypes.Frontiers in neurology · 2023Article
- Free-water diffusion MRI detects structural alterations surrounding white matter hyperintensities in the early stage of cerebral small vessel disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022Article
- Improved diffusion parameter estimation by incorporating TNeuroImage · 2022Article
- Free water derived by multi-shell diffusion MRI reflects tau/neuroinflammatory pathology in Alzheimer's disease.Alzheimer's & dementia (New York, N. Y.) · 2022Article
- Sex Differences in Alzheimer's Disease Revealed by Free-Water Diffusion Tensor Imaging and Voxel-Based Morphometry.Journal of Alzheimer's disease : JAD · 2022Article
- White matter and nigral alterations in multiple system atrophy-parkinsonian type.NPJ Parkinson's disease · 2021Article
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4 authors.
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Abstract
Cerebrospinal fluid partial volume effect is a known bias in the estimation of Diffusion Tensor Imaging (DTI) parameters from diffusion MRI data. The Free-Water Imaging model for diffusion MRI data adds a second compartment to the DTI model, which explicitly accounts for the signal contribution of extracellular free-water, such as cerebrospinal fluid. As a result the DTI parameters obtained through the free-water model are corrected for partial volume effects, and thus better represent tissue microstructure. In addition, the model estimates the fractional volume of free-water, and can be used to monitor changes in the extracellular space. Under certain assumptions, the model can be estimated from single-shell diffusion MRI data. However, by using data from multi-shell diffusion acquisitions, these assumptions can be relaxed, and the fit becomes more robust. Nevertheless, fitting the model to multi-shell data requires high computational cost, with a non-linear iterative minimization, which has to be initialized close enough to the global minimum to avoid local minima and to robustly estimate the model parameters. Here we investigate the properties of the main initialization approaches that are currently being used, and suggest new fast approaches to improve the initial estimates of the model parameters. We show that our proposed approaches provide a fast and accurate initial approximation of the model parameters, which is very close to the final solution. We demonstrate that the proposed initializations improve the final outcome of non-linear model fitting.
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