Results 211 to 220 of about 5,143,841 (243)

Quantitative Susceptibility Mapping With Source Separation in Normal Brain Development of Newborns

American Journal of Neuroradiology
Quantitative susceptibility mapping is an emerging method for characterizing tissue composition and studying myelination and iron deposition. However, accurate assessment of myelin and iron content in the neonate brain using this method is challenging because these 2 susceptibility sources of opposite signs (myelin, negative; iron, positive) occupy the
Kushal Kapse, Thanh D Nguyen, Pascal Spincemaille   +2 more
exaly   +4 more sources

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Susceptibility Source Separation From Gradient Echo Data Using Magnitude Decay Modeling

Journal of Neuroimaging, 2022
Abstract Background and Purpose The objective is to demonstrate feasibility of separating magnetic sources in quantitative susceptibility mapping (QSM) by incorporating magnitude decay rates in gradient echo (GRE) MRI. Methods
Thanh D Nguyen, Susan Gauthier, David Pitt   +2 more
exaly   +3 more sources

On the Separation of Susceptibility Sources in Quantitative Susceptibility Mapping: Theory and Phantom Validation With an in Vivo Application to Multiple Sclerosis Lesions of Different Age

Journal of Magnetic Resonance, 2021
In biological tissue, phase contrast is determined by multiple substances such as iron, myelin or calcifications. Often, these substances occur co-located within the same measurement volume. However, quantitative susceptibility mapping can solely measure the average susceptibility per voxel.
Julian Emmerich, Mark E. Ladd, Sina Straub   +2 more
exaly   +3 more sources

Chi-sepnet: Susceptibility source separation using deep neural network

ISMRM Annual Meeting, 2023
The separation of positive and negative susceptibility source distributions (e.g., iron and myelin distributions) has important meanings in neuroscience and clinic. In this study, a deep learning-based χ-separation method is proposed to generate high-quality susceptibility source maps.
Minjun Kim, Hyeong-Geol Shin, Chungseok Oh, Hwihun Jeong, Sooyeon Ji, Hongjun An, Jiye Kim, Jinhee Jang, Berkin Bilgic, Jongho Lee   +9 more
openaire   +1 more source

Feasibility of $$$R_2^*$$$ /QSM susceptibility source separation for application in multiple sclerosis

ISMRM Annual Meeting, 2023
For determination of dia- and paramagnetic sources, quantitative susceptibility mapping (QSM) of phase is combined with a R2* model of magnitude of multiecho gradient echo data, which is advantageous over R2’ model that requires additional T2 mapping, Magnetic source separation was performed in in vivo (17 multiple sclerosis (MS) patients ...
Alexey Dimov, Thanh Nguyen, Kelly Gillen, Melanie Marcille, Pascal Spincemaille, Pitt David, Susan Gauthier, Yi Wang   +7 more
openaire   +1 more source

Magnetic Susceptibility Source Separation for Assessing Motor and Cognitive Functions in Parkinson Disease

Parkinsonism and Related Disorders
Iron and myelin alterations contribute to the progression of Parkinson disease (PD). This study aimed to evaluate the associations of iron-related positive susceptibility and myelin-related negative susceptibility with motor and cognitive functions, and assess their utility in classifying PD with normal cognition (PD-CN) and with mild cognitive ...
Yuta Madokoro, Hirohito Kan, Yuto Uchida
exaly   +3 more sources

Imaging multiple sclerosis histopathology using susceptibility source separation: a postmortem brain study

ISMRM Annual Meeting, 2023
The pathology of multiple sclerosis (MS) is highly correlated with the dynamics of two susceptibility sources, paramagnetic iron and diamagnetic myelin. Various MRI methods sensitive to the substances have been developed for MS pathology. However, the collective effects of iron and myelin to an MRI signal have hampered monitoring individual changes of ...
Hyeong-Geol Shin, Riccardo Galbusera, Jincheol Seo, Sooyeon Ji, Erik Bahn, Jonas Franz, Christine Stadelmann-Nessler, Po-Jui Lu, Jinhee Jang, Youngjeon Lee, Cristina Granziera, Jongho Lee   +11 more
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Application of susceptibility source separation (chi-separation) to UK Biobank protocol and clinical protocol using deep neural network

ISMRM Annual Meeting, 2023
We develop pipelines for reconstructing susceptibility source separation (χ-separation) maps, which requires a T2 map, from UK Biobank protocol and routine clinical protocol data that have no T2 map but have various T2-weighted contrasts (e.g., FLAIR and T2-weighted images). Using these and additional contrast-weighted images, we propose a deep
Hwihun Jeong, Sung Suk Oh, Jongho Lee, Hyeong-Geol Shin   +3 more
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Magnetic susceptibility source separation (χ-separation) in quantitative susceptibility mapping

Magnetic Resonance Imaging
Conventional quantitative susceptibility mapping (QSM) outputs a voxel-averaged value, frequently obscuring co-localized paramagnetic iron and diamagnetic myelin through phase cancellation. χ-separation resolves this ambiguity by disentangling sub-voxel magnetic sources to quantify specific biomarkers.
Sadegh, Ghaderi, Sana, Mohammadi, Seyed-Mohammad, Fereshtehnejad   +2 more
openaire   +2 more sources

A toolbox of chi-separation for magnetic susceptibility source separation

ISMRM Annual Meeting
The susceptibility maps generated by QSM and $$$\chi$$$-separation show magnetic susceptibility distributions, which have been proposed as important biomarkers for brain disorders. However, susceptibility mapping requires a complicated multi-step procedure that is difficult for inexperienced researchers.
Jun-Hyeok Lee, Hyeong-Geol Shin, Minjun Kim, Jongho Lee, Se-Hong Oh   +4 more
openaire   +1 more source