ArticleMagnetic resonance imaging2015
A simple noise correction scheme for diffusional kurtosis imaging.
Article in Magnetic resonance imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Joint Reconstruction of Multiple b-Values and Multiple Directions for Accelerating Diffusion Kurtosis Imaging.Magnetic resonance in medicine · 2026Article
- Microstructure imaging of prostate cancer by diffusion MRI.Magma (New York, N.Y.) · 2026Review
- gKFA: a geometric framework for kurtosis fractional anisotropy.Scientific reports · 2026Article
- Associations between iron and mean kurtosis in iron-rich grey matter nuclei in aging.Magma (New York, N.Y.) · 2026Article
- Cardiac diffusion kurtosis imaging in the human heart in vivo using 300 mT/m gradients.Magnetic resonance in medicine · 2025Article
- Structural brain changes in subacute spinal cord injury: an analysis of diffusion kurtosis imaging and diffusion tensor imaging metrics with clinical correlation.Frontiers in neuroscience · 2025Article
- Robust frequency-dependent diffusional kurtosis computation using an efficient direction scheme, axisymmetric modelling, and spatial regularization.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Diffusion kurtosis imaging and standard diffusion imaging in the magnetic resonance imaging assessment of prostate cancer.Gland surgery · 2023Review
- Optimization of quasi-diffusion magnetic resonance imaging for quantitative accuracy and time-efficient acquisition.Magnetic resonance in medicine · 2022Article
- Evaluation of peripheral nerve acute crush injury in rabbits: comparison among diffusion kurtosis imaging, diffusion tensor imaging and electromyography.Magma (New York, N.Y.) · 2022Article
- Non-local means based Rician noise filtering for diffusion tensor and kurtosis imaging in human brain and spinal cord.BMC medical imaging · 2021Article
- Diagnostic Performance of Diffusion MRI for differentiating Benign and Malignant Nonfatty Musculoskeletal Soft Tissue Tumors: A Systematic Review and Meta-analysis.Journal of Cancer · 2021Article
- Influence of residual fat signal on diffusion kurtosis MRI of suspicious mammography findings.Scientific reports · 2020Article
- Removing rician bias in diffusional kurtosis of the prostate using real-data reconstruction.Magnetic resonance in medicine · 2020Article
- Differentiation between malignant and benign musculoskeletal tumors using diffusion kurtosis imaging.Skeletal radiology · 2019Article
- Staging liver fibrosis with DWI: is there an added value for diffusion kurtosis imaging?European radiology · 2018Article
- Analysis of the effects of noise, DWI sampling, and value of assumed parameters in diffusion MRI models.Magnetic resonance in medicine · 2017Article
- Diffusion MRI noise mapping using random matrix theory.Magnetic resonance in medicine · 2016Article
- Gibbs ringing in diffusion MRI.Magnetic resonance in medicine · 2016Article
- Mapping the Orientation of White Matter Fiber Bundles: A Comparative Study of Diffusion Tensor Imaging, Diffusional Kurtosis Imaging, and Diffusion Spectrum Imaging.AJNR. American journal of neuroradiology · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
purposeDiffusional kurtosis imaging (DKI) is sensitive to the effects of signal noise due to strong diffusion weightings and higher order modeling of the diffusion weighted signal. A simple noise correction scheme is proposed to remove the majority of the noise bias in the estimated diffusional kurtosis.
methodsWeighted linear least squares (WLLS) fitting together with a voxel-wise, subtraction-based noise correction from multiple, independent acquisitions are employed to reduce noise bias in DKI data. The method is validated in phantom experiments and demonstrated for in vivo human brain for DKI-derived parameter estimates.
resultsAs long as the signal-to-noise ratio (SNR) for the most heavily diffusion weighted images is greater than 2.1, errors in phantom diffusional kurtosis estimates are found to be less than 5 percent with noise correction, but as high as 44 percent for uncorrected estimates. In human brain, noise correction is also shown to improve diffusional kurtosis estimates derived from measurements made with low SNR.
conclusionThe proposed correction technique removes the majority of noise bias from diffusional kurtosis estimates in noisy phantom data and is applicable to DKI of human brain. Features of the method include computational simplicity and ease of integration into standard WLLS DKI post-processing algorithms.
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