J
Jonas Lynge Olesen
Researcher at Aarhus University
Publications - 12
Citations - 335
Jonas Lynge Olesen is an academic researcher from Aarhus University. The author has contributed to research in topics: Diffusion MRI & Diffusion (business). The author has an hindex of 5, co-authored 9 publications receiving 207 citations. Previous affiliations of Jonas Lynge Olesen include Aarhus University Hospital.
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Journal ArticleDOI
Diffusion time dependence of microstructural parameters in fixed spinal cord
TL;DR: A model of diffusion in white matter including axonal dispersion is developed and stable estimation of all model parameters from DKI in fixed pig spinal cord is demonstrated, demonstrating substantial time dependence of all parameters except volume fractions, and the additional time dimension provides support for intra‐axonal diffusivity to be larger than extra-axonaldiffusivity in spinal cord white matter, although not unambiguously.
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Effects of nongaussian diffusion on "isotropic diffusion" measurements: An ex-vivo microimaging and simulation study.
TL;DR: It is shown how deviations from the multiple Gaussian compartments assumption conflates orientation dispersion with ensemble variance in isotropic diffusivity arising due to intracompartmental kurtosis.
Journal ArticleDOI
Bovine milk oligosaccharides with sialyllactose improves cognition in preterm pigs
Karina Obelitz-Ryom,Stine B. Bering,Silja Hvid Overgaard,Simon Fristed Eskildsen,Steffen Ringgaard,Jonas Lynge Olesen,Kerstin Skovgaard,Stanislava Pankratova,Bing Wang,Anders Brunse,Anne B Heckmann,Martin Peter Rydal,Per T. Sangild,Thomas Thymann +13 more
TL;DR: Oligosaccharide-enriched whey with sialyllactose improved spatial cognition, with effects on hippocampal genes related to sialic acid metabolism, myelination, and ganglioside biosynthesis in preterm pigs.
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Evaluation of principal component analysis image denoising on multi-exponential MRI relaxometry.
Mark D. Does,Jonas Lynge Olesen,Jonas Lynge Olesen,Kevin D. Harkins,Kevin D. Harkins,Teresa Serradas‐Duarte,Daniel F. Gochberg,Sune Nørhøj Jespersen,Sune Nørhøj Jespersen,Noam Shemesh +9 more
TL;DR: In this paper, principal component analysis (PCA) denoising was used to mitigate the signal-to-noise ratio (SNR) demands and improve the precision of relaxometry measures.
Journal ArticleDOI
Evaluation of principal component analysis image denoising on multi-exponential MRI relaxometry
Mark D. Does,Jonas Lynge Olesen,Kevin D. Harkins,Teresa Serradas Duarte,Daniel F. Gochberg,Sune Nørhøj Jespersen,Noam Shemesh +6 more
TL;DR: This work evaluates the use of principal‐component‐analysis (PCA) denoising to mitigate these SNR demands and improve the precision of relaxometry measures.