Results 81 to 90 of about 3,904 (188)

Susceptibility Source Separation Unveils Paramagnetic and Diamagnetic Trajectories in Healthy Brains From 5 to 90 Years

NMR in Biomedicine, Volume 39, Issue 8, August 2026.
This work analyzed healthy brain lifespan trajectories of paramagnetic iron and diamagnetic myelin with three common susceptibility source separation methods (χ‐separation, χ‐sepnet and APART‐QSM). Deep gray and white matter regions of 339 subjects (5–90 years) were studied.
Tereza Beatriz Oliveira Assunção, Nashwan Naji, Peter Seres, Christian Beaulieu, Alan H. Wilman   +4 more
wiley   +1 more source

Investigating the effect of masking and background field removal algorithms on the quality of QSM reconstructions using a realistic numerical head phantom

NeuroImage
Background field removal (BFR) is an important step in the Quantitative Susceptibility Mapping (QSM) pipeline, enabling the reconstruction of local susceptibility distributions by removing contributions from sources outside the region of interest (ROI ...
Carlos Milovic, Patrick S. Fuchs, Mathias Lambert, Oriana Arsenov, Oliver C. Kiersnowski, Laxmi Muralidharan, Russell Murdoch, Jannette Nassar, Karin Shmueli   +8 more
doaj   +1 more source

Ex-vivo quantitative susceptibility mapping of human brain hemispheres.

PLoS ONE, 2017
Ex-vivo brain quantitative susceptibility mapping (QSM) allows investigation of brain characteristics at essentially the same point in time as histopathologic examination, and therefore has the potential to become an important tool for determining the ...
Arnold M Evia, Aikaterini Kotrotsou, Ashish A Tamhane, Robert J Dawe, Alifiya Kapasi, Sue E Leurgans, Julie A Schneider, David A Bennett, Konstantinos Arfanakis   +8 more
doaj   +1 more source

Harmonic field extension for QSM with reduced spatial coverage using physics-informed generative adversarial network

NeuroImage
Quantitative susceptibility mapping (QSM) is frequently employed in investigating brain iron related to brain development and diseases within deep gray matter (DGM). Nonetheless, the acquisition of whole-brain QSM data is time-intensive.
Siyun Jung, Soohyun Jeon, Sung-Min Gho, Ho-Joon Lee, Kyu-Jin Jung, Dong-Hyun Kim   +5 more
doaj   +1 more source

Partial volume correction for quantifying venous oxygen saturation levels using contrast-enhanced MRI

NeuroImage
Quantifying brain oxygenation is crucial for diagnosing and managing neurological conditions like stroke. Quantitative susceptibility mapping (QSM), an MRI technique, can measure venous oxygen saturation (Yv) but is hampered by partial volume effects ...
Sagar Buch, Yifan Lv, Mingming Wang, Bo Wu, Ryan M. Smith, Yu Luo, E. Mark Haacke   +6 more
doaj   +1 more source

Quantitative susceptibility mapping as an early neuroimaging biomarker for amyotrophic lateral sclerosis: A review

iRADIOLOGY
Quantitative susceptibility mapping (QSM) is an advanced post‐processing technique in magnetic resonance imaging that offers precise measurements of tissue magnetic susceptibility with impressive spatial resolution and sensitivity.
Sana Mohammadi, Sadegh Ghaderi, Farzad Fatehi   +2 more
doaj   +1 more source

Quantitative susceptibility mapping through model-based deep image prior (MoDIP)

NeuroImage
The data-driven approach of supervised learning methods has limited applicability in solving dipole inversion in Quantitative Susceptibility Mapping (QSM) with varying scan parameters across different objects.
Zhuang Xiong, Yang Gao, Yin Liu, Amir Fazlollahi, Peter Nestor, Feng Liu, Hongfu Sun   +6 more
doaj   +1 more source

Combining Quantitative Susceptibility Mapping With the Gray Matter Volume to Predict Neurological Deficits in Patients With Small Artery Occlusion

Brain and Behavior
Background Currently, there is still a lack of valuable neuroimaging markers to assess the clinical severity of stroke patients with small artery occlusion (SAO).
Xuelian Tang, Zhenzhen He, Qian Yang, Tao Yang, Yusheng Yu, Jinan Chen   +5 more
doaj   +1 more source

Paramagnetic susceptibility mapping better quantifies brain iron content in Parkinson’s disease with RBD

npj Parkinson's Disease
The specific mechanism underlying the effect of changes in brain iron content on the development of RBD secondary to PD remains unclear. 27 PD patients with secondary RBD (PD-RBD+), 24 PD patients without RBD (PD-RBD-), and 32 healthy controls (HCs) were
Lining Dong, Wenyu Zhou, Ran An, Zheng Wang, Wei Wei, Hongjiang Wei, Zhenchang Wang, Xuan Wei   +7 more
doaj   +1 more source

Quantitative Susceptibility Mapping of the Cervical Spinal Cord at 3T and Application to Multiple Sclerosis. [PDF]

NMR Biomed
Streichenberger B, Santin M, de Rochefort L, Duché Q, Guillemot C, Mchinda S, Roche S, Kerbrat A, Bannier E.   +8 more
europepmc   +1 more source