Distinct characteristics and severity of brain magnetic resonance imaging lesions in women and men with multiple sclerosis assessed using verified texture analysis measures

Autor: Zahra Hosseinpour, Olayinka Oladosu, Wei-qiao Liu, G. Bruce Pike, V. Wee Yong, Luanne M. Metz, Yunyan Zhang

Publikováno v: Frontiers in Neurology, Vol 14 (2023)

Background and goalIn vivo characterization of brain lesion types in multiple sclerosis (MS) has been an ongoing challenge. Based on verified texture analysis measures from clinical magnetic resonance imaging (MRI), this study aimed to develop a meth

Externí odkaz: https://doaj.org/article/ea018a2e98d0456392a6ca17905c1fd3

Advanced Analysis of Diffusion Tensor Imaging Along With Machine Learning Provides New Sensitive Measures of Tissue Pathology and Intra-Lesion Activity in Multiple Sclerosis

Autor: Olayinka Oladosu, Wei-Qiao Liu, Bruce G. Pike, Marcus Koch, Luanne M. Metz, Yunyan Zhang

Publikováno v: Frontiers in Neuroscience, Vol 15 (2021)

Tissue pathology in multiple sclerosis (MS) is highly complex, requiring multi-dimensional analysis. In this study, our goal was to test the feasibility of obtaining high angular resolution diffusion imaging (HARDI) metrics through single-shell model

Externí odkaz: https://doaj.org/article/b3cb13252f8848bbb839508d030b955a

Texture analysis in brain T2 and diffusion MRI differentiates histology-verified grey and white matter pathology types in multiple sclerosis

Autor: Zahra Hosseinpour, Laura Jonkman, Olayinka Oladosu, Glen Pridham, G. Bruce Pike, Matilde Inglese, Jeroen J. Geurts, Yunyan Zhang

Publikováno v: Journal of Neuroscience Methods, 379:109671. Elsevier
Hosseinpour, Z, Jonkman, L, Oladosu, O, Pridham, G, Pike, G B, Inglese, M, Geurts, J J & Zhang, Y 2022, ' Texture analysis in brain T2 and diffusion MRI differentiates histology-verified grey and white matter pathology types in multiple sclerosis ', Journal of Neuroscience Methods, vol. 379, 109671 . https://doi.org/10.1016/j.jneumeth.2022.109671
Hosseinpour, Z, Jonkman, L, Oladosu, O, Pridham, G, Pike, G B, Inglese, M, Geurts, J J & Zhang, Y 2022, ' Texture analysis in brain T2 and diffusion MRI differentiates histology-verified grey and white matter pathology types in multiple sclerosis ', Journal of Neuroscience Methods, vol. 379, 109671, pp. 1-11 . https://doi.org/10.1016/j.jneumeth.2022.109671
Journal of Neuroscience Methods, 379:109671, 1-11. Elsevier

© 2022 Elsevier B.V.Background: Multiple sclerosis (MS) is a complex disease of the central nervous system involving several types of brain pathology that are difficult to characterize using conventional imaging methods. New method: We originated no

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b3b5c12aa1aa2fdcc7aeebc86ee1d4c
https://research.vumc.nl/en/publications/1ddafaed-5cfc-4f77-a591-9e08b26355da

Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types using clinical brain magnetic resonance imaging

Autor: Daniel McClement, Glen Pridham, Garth Slaney, Daphne Hong, Olayinka Oladosu, Yunyan Zhang

Publikováno v: Journal of neuroscience methods. 353

Background Deep learning using convolutional neural networks (CNNs) has shown great promise in advancing neuroscience research. However, the ability to interpret the CNNs lags far behind, confounding their clinical translation. New method We interrog

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::281742ed670eb7ab2adb9a4dfadc0175
https://pubmed.ncbi.nlm.nih.gov/33582174

Investigating the potential of high angular resolution diffusion imaging metrics and texture angular entropy for monitoring de- and remyelination in a cuprizone model of multiple sclerosis

Autor: Yunyan Zhang, Shrushrita Sharma, Tim Qi Luo, Olayinka Oladosu, Md. Shahnewaz Hossain

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6d1228b3be6996d768142da8ed3a84f2
https://doi.org/10.26226/morressier.5b75785e5aff7400151f3869