Back to Search
Start Over
Toward more robust and reproducible diffusion kurtosis imaging
- Source :
- Henriques, R N, Jespersen, S N, Jones, D K & Veraart, J 2021, ' Toward more robust and reproducible diffusion kurtosis imaging ', Magnetic Resonance in Medicine, vol. 86, no. 3, pp. 1600-1613 . https://doi.org/10.1002/mrm.28730, Aarhus University, Henriques, R N, Jespersen, S, Jones, D K & Veraart, J 2021, ' Towards more robust and reproducible Diffusion Kurtosis Imaging ', 2021 International Society for Magnetic Resonance in Medicine annual meeting, 15/05/2021-19/05/2021 pp. 2464 ., Magnetic Resonance in Medicine
- Publication Year :
- 2021
- Publisher :
- Wiley, 2021.
-
Abstract
- Purpose\ud The general utility of diffusion kurtosis imaging (DKI) is challenged by its poor robustness to imaging artifacts and thermal noise that often lead to implausible kurtosis values.\ud \ud Theory and Methods\ud A robust scalar kurtosis index can be estimated from powder‐averaged diffusion‐weighted data. We introduce a novel DKI estimator that uses this scalar kurtosis index as a proxy for the mean kurtosis to regularize the fit.\ud \ud Results\ud The regularized DKI estimator improves the robustness and reproducibility of the kurtosis metrics and results in parameter maps with enhanced quality and contrast.\ud \ud Conclusion\ud Our novel DKI estimator promotes the wider use of DKI in clinical research and potentially diagnostics by improving the reproducibility and precision of DKI fitting and, as such, enabling enhanced visual, quantitative, and statistical analyses of DKI parameters.
- Subjects :
- Computer science
robustness
030218 nuclear medicine & medical imaging
Diffusion
Full Papers—Computer Processing and Modeling
diffusion MRI
03 medical and health sciences
0302 clinical medicine
Robustness (computer science)
Radiology, Nuclear Medicine and imaging
Proxy (statistics)
DKI
Diffusion Kurtosis Imaging
Full Paper
kurtosis
business.industry
Estimation theory
Scalar (physics)
Reproducibility of Results
Estimator
Pattern recognition
Benchmarking
Diffusion Magnetic Resonance Imaging
Diffusion Tensor Imaging
Kurtosis
Artificial intelligence
parameter estimation
business
030217 neurology & neurosurgery
Diffusion MRI
Subjects
Details
- ISSN :
- 15222594 and 07403194
- Volume :
- 86
- Database :
- OpenAIRE
- Journal :
- Magnetic Resonance in Medicine
- Accession number :
- edsair.doi.dedup.....03abff7ccfcc94c60c41a9980905b481