ArticleMagnetic resonance in medicine2017
Analysis of the effects of noise, DWI sampling, and value of assumed parameters in diffusion MRI models.
Article in Magnetic resonance in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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Who cites it
49 citing papers in PubMed.
- Offline Reconstruction of Diffusion MRI Acquisitions for Comparison Between Complex PCA-Based and AI-Based Denoising.Magnetic resonance in medicine · 2026Article
- The role of diffusion-weighted MRI in biological image-guided radiation therapy: a roadmap.Physics in medicine and biology · 2026Review
- Longitudinal MAP-MRI-based Assessment of Tissue Microstructural Alterations in Acute mTBI.medRxiv : the preprint server for health sciences · 2026Article
- The Impact of Multiband and In-Plane Acceleration on White Matter Microstructure Analysis.Human brain mapping · 2025Article
- Accelerated multi-shell diffusion MRI with Gaussian process estimated reconstruction of multi-band imaging.Magnetic resonance in medicine · 2025Article
- Multi-TE Diffusion MRI Dataset for Exploring Combined Diffusion-Relaxometry Methods in Microstructure Imaging.Scientific data · 2025Article
- Denoising complex-valued diffusion MR images using a two-step, nonlocal principal component analysis approach.Magnetic resonance in medicine · 2025Article
- Diffusion tensor subspace imaging of double diffusion-encoded MRI delineates small fibers and gray-matter microstructure not visible with single encoding techniques.Magnetic resonance in medicine · 2025Article
- Bundle-specific tractography approach for identifying white matter microstructural changes following traumatic brain injury in rats: An EpiBioS4Rx study.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Impact of truncating diffusion MRI scans on diffusional kurtosis imaging.Magma (New York, N.Y.) · 2024Article
- Whole-tumor histogram analysis of multiple non-Gaussian diffusion models at high b values for assessing cervical cancer.Abdominal radiology (New York) · 2024Article
- Cortical microstructural associations with CSF amyloid and pTau.Molecular psychiatry · 2024Article
- Denoising diffusion MRI: Considerations and implications for analysis.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Effects of post-acute COVID-19 syndrome on cerebral white matter and emotional health among non-hospitalized individuals.Frontiers in neurology · 2024Article
- How we get a grip: Microstructural neural correlates of manual grip strength in children.NeuroImage · 2023Article
- Diffusion MRI with pulsed and free gradient waveforms: Effects of restricted diffusion and exchange.NMR in biomedicine · 2023Article
- Optimization of quasi-diffusion magnetic resonance imaging for quantitative accuracy and time-efficient acquisition.Magnetic resonance in medicine · 2022Article
- SENSE EPI reconstruction with 2D phase error correction and channel-wise noise removal.Magnetic resonance in medicine · 2022Article
- Article
- Quantitative diffusion MRI of the abdomen and pelvis.Medical physics · 2022Article
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10 authors.
Funding
Abstract
purposeThis study was a systematic evaluation across different and prominent diffusion MRI models to better understand the ways in which scalar metrics are influenced by experimental factors, including experimental design (diffusion-weighted imaging [DWI] sampling) and noise.
methodsFour diffusion MRI models-diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), mean apparent propagator MRI (MAP-MRI), and neurite orientation dispersion and density imaging (NODDI)-were evaluated by comparing maps and histogram values of the scalar metrics generated using DWI datasets obtained in fixed mouse brain with different noise levels and DWI sampling complexity. Additionally, models were fit with different input parameters or constraints to examine the consequences of model fitting procedures.
resultsExperimental factors affected all models and metrics to varying degrees. Model complexity influenced sensitivity to DWI sampling and noise, especially for metrics reporting non-Gaussian information. DKI metrics were highly susceptible to noise and experimental design. The influence of fixed parameter selection for the NODDI model was found to be considerable, as was the impact of initial tensor fitting in the MAP-MRI model.
conclusionAcross DTI, DKI, MAP-MRI, and NODDI, a wide range of dependence on experimental factors was observed that elucidate principles and practical implications for advanced diffusion MRI. Magn Reson Med 78:1767-1780, 2017. © 2017 International Society for Magnetic Resonance in Medicine.
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