Zobrazeno 1 - 10
of 89
pro vyhledávání: '"N. Jespersen"'
Publikováno v:
NeuroImage, Vol 273, Iss , Pp 120118- (2023)
MP-PCA denoising has become the method of choice for denoising MRI data since it provides an objective threshold to separate the signal components from unwanted thermal noise components. In rodents, thermal noise in the coils is an important source o
Externí odkaz:
https://doaj.org/article/828cde9738f2421b91ae8f068d51f5d1
Publikováno v:
NeuroImage, Vol 251, Iss , Pp 118976- (2022)
Characterizing neural tissue microstructure is a critical goal for future neuroimaging. Diffusion MRI (dMRI) provides contrasts that reflect diffusing spins’ interactions with myriad microstructural features of biological systems. However, the spec
Externí odkaz:
https://doaj.org/article/0c31fe6637b54f2a8db1b309f191e020
Autor:
Rita Alves, Rafael Neto Henriques, Leevi Kerkelä, Cristina Chavarrías, Sune N Jespersen, Noam Shemesh
Publikováno v:
NeuroImage, Vol 247, Iss , Pp 118833- (2022)
Noninvasively detecting and characterizing modulations in cellular scale micro-architecture remains a desideratum for contemporary neuroimaging. Diffusion MRI (dMRI) has become the mainstay methodology for probing microstructure, and, in ischemia, it
Externí odkaz:
https://doaj.org/article/0ed0cf9838df400da311e55b6e89e128
Publikováno v:
NeuroImage, Vol 231, Iss , Pp 117849- (2021)
Information about tissue on the microscopic and mesoscopic scales can be accessed by modelling diffusion MRI signals, with the aim of extracting microstructure-specific biomarkers. The standard model (SM) of diffusion, currently the most broadly adop
Externí odkaz:
https://doaj.org/article/abb1bd1dc6904eb18c8353f824badde3
Publikováno v:
NeuroImage, Vol 223, Iss , Pp 117228- (2020)
To study axonal microstructure with diffusion MRI, axons are typically modeled as straight impermeable cylinders, whereby the transverse diffusion MRI signal can be made sensitive to the cylinder’s inner diameter. However, the shape of a real axon
Externí odkaz:
https://doaj.org/article/ad2fd7f1b6ef473fa267dbd1812c2449
Autor:
J.G. Karstensen, S. Bülow, H. Højen, A.M. Jelsig, N. Jespersen, K.K. Andersen, M.D. Wewer, J. Burisch, H.C. Pommergaard
Publikováno v:
Gastroenterology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0363efbf9f179d81de604113197e7613
https://doi.org/10.1053/j.gastro.2023.05.010
https://doi.org/10.1053/j.gastro.2023.05.010
Akademický článek
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Autor:
Rafael Neto Henriques, Andrada Ianuş, Lisa Novello, Jorge Jovicich, Sune N Jespersen, Noam Shemesh
Marčenko-Pastur (MP) PCA denoising is emerging as an effective means for noise suppression in MRI acquisitions with redundant dimensions. However, MP-PCA performance is severely compromised by spatially correlated noise – an issue typically affect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc4abc360bcd73011a3ae266b13db871
https://doi.org/10.1101/2023.03.29.534707
https://doi.org/10.1101/2023.03.29.534707
Autor:
Vibeke Bay, Birgitte F Kjølby, Nina K Iversen, Irene K Mikkelsen, Maryam Ardalan, Jens R Nyengaard, Sune N Jespersen, Kim R Drasbek, Leif Østergaard, Brian Hansen
Publikováno v:
PLoS ONE, Vol 13, Iss 4, p e0196161 (2018)
Diffusion kurtosis imaging (DKI) is a new promising MRI technique with microstructural sensitivity superior to conventional diffusion tensor (DTI) based methods. In stroke, considerable mismatch exists between the infarct lesion outline obtained from
Externí odkaz:
https://doaj.org/article/41d0bde271324fe2adeaeae5c0e9dbd9
Autor:
Brian Hansen, Sune N. Jespersen
Publikováno v:
Frontiers in Physics, Vol 5 (2017)
Diffusion kurtosis imaging (DKI) is an extension of the popular diffusion tensor imaging (DTI) technique. DKI takes into account leading deviations from Gaussian diffusion stemming from a number of effects related to the microarchitecture and compart
Externí odkaz:
https://doaj.org/article/68a340afd56542ef9527b12fad273a4e