Results 61 to 70 of about 3,904 (188)

Uncovering the impact of the cardiovascular system on cerebrovascular health using MRI

Experimental Physiology, EarlyView.
Abstract Human cerebrovasculature is finely tuned to enable local changes in blood flow to meet the brain's demands, whilst protecting the brain from systemic changes in blood pressure, both acutely during a heartbeat and chronically over time. This review summarises cerebrovascular structure and function, their role in disease and neurodegeneration ...
Ian D. Driver, Kevin Murphy
wiley   +1 more source

Evaluation of Phantom Doping Materials in Quantitative Susceptibility Mapping

Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1545-1556, October 2026.
ABSTRACT Purpose To measure magnetic susceptibility (χ) with Quantitative Susceptibility Mapping (QSM) and evaluate its repeatability using four phantom doping materials relevant to QSM applications. Methods A cylindrical phantom was constructed containing vials of agarose gel doped with two paramagnetic materials (ferritin, USPIO) and two diamagnetic ...
Padriac Hooper, Jin Jin, Kieran O'Brien, Monique Tourell, Simon Daniel Robinson, Markus Barth   +5 more
wiley   +1 more source

Exploring linearity of deep neural network trained QSM: QSMnet+

NeuroImage, 2020
Recently, deep neural network-powered quantitative susceptibility mapping (QSM), QSMnet, successfully performed ill-conditioned dipole inversion in QSM and generated high-quality susceptibility maps. In this paper, the network, which was trained by healthy volunteer data, is evaluated for hemorrhagic lesions that have substantially higher ...
Woojin Jung, Jaeyeon Yoon, Sooyeon Ji, Joon Yul Choi, Jae Myung Kim, Yoonho Nam, Eung-Yeop Kim, Jongho Lee 0003   +7 more
openaire   +3 more sources

Quantitative Susceptibility Mapping of Kidney Stones: An Ex Vivo MRI Phantom Study

Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1846-1859, October 2026.
ABSTRACT Purpose To visualize and characterize the five most common kidney stone types based on their magnetic susceptibilities in MRI using QSM. Methods Three water‐based agar phantoms were constructed, containing a total of 53 ex vivo kidney stones of varying types and sizes.
Lion H. Mücke, Frederik B. Laun, Ruben de Figueiredo Cardoso, Guillaume Flé, Jennifer Lorenz, Alexander Fichte, Michael Uder, Nadine Bayerl, Jannis Hanspach   +8 more
wiley   +1 more source

Quantitative susceptibility and T1ρ mapping of knee articular cartilage at 3T

Osteoarthritis and Cartilage Open
T1ρ and Quantitative Susceptibility Mapping (QSM) are evolving as substrates for quantifying the progressive nature of knee osteoarthritis. Objective: To evaluate the effects of spin lock time combinations on depth-dependent T1ρ estimation, in adjunct to
Allen A. Champagne, Taylor M. Zuleger, Daniel R. Smith, Alexis B. Slutsky-Ganesh, Shayla M. Warren, Mario E. Ramirez, Lexie M. Sengkhammee, Sagar Mandava, Hongjiang Wei, Davide D. Bardana, Joseph D. Lamplot, Gregory D. Myer, Jed A. Diekfuss   +12 more
doaj   +1 more source

Quantitative susceptibility mapping to evaluate the early stage of Alzheimer's disease

NeuroImage: Clinical, 2017
The objective of this study was to evaluate susceptibility changes caused by iron accumulation in cognitive normal (CN) elderly, those with amnestic mild cognitive impairment (aMCI), and those with early state AD, and to compare the findings with gray ...
Hyug-Gi Kim, Soonchan Park, Hak Young Rhee, Kyung Mi Lee, Chang-Woo Ryu, Sun Jung Rhee, Soo Yeol Lee, Yi Wang, Geon-Ho Jahng   +8 more
doaj   +1 more source

Simultaneous T2, T2*, and R2′ Mapping for Multiple Sclerosis Using Nonlinear Model‐Based Reconstruction of Undersampled Radial RARE‐EPI MRI

Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1872-1892, October 2026.
ABSTRACT Purpose To demonstrate the synergy of undersampled radial 2in1‐RARE‐EPI acquisition and nonlinear model‐based reconstruction for accelerated and simultaneous T2, T2*, and R2′ mapping in brains of patients with multiple sclerosis (MS). Methods 2in1‐RARE‐EPI combines a RARE module with an EPI module to capture T2 and T2* information.
Jose Raul Velasquez Vides, Carl J. J. Herrmann, Thomas Gladytz, Hoby P. Hetherington, Hendrik Mattern, Xiaoqing Wang, Jason M. Millward, Shahriar Shalikar, Igor Fabian Tellez Ceja, Beate Endemann, Sonia Waiczies, Joseph Kuchling, Friedemann Paul, Georg Rose, Min‐Chi Ku, Franz Schmitt, Thoralf Niendorf   +16 more
wiley   +1 more source

Fully‐Constrained Variable Projection for Water‐Fat Models

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1464-1473, September 2026.
ABSTRACT Purpose Variable projection (VARPRO) is an effective technique to reduce the dimensionality of least squares optimization problems through the elimination of linear parameters. For water‐fat models, constrained VARPRO variants have been proposed in the literature to ensure that water and fat components are aligned at TE = 0, thereby preventing
Carl Ganter, Jonathan Stelter, Louis Peyratoux, Dimitrios C. Karampinos, Oliver Bieri   +4 more
wiley   +1 more source

Quantitative Susceptibility Mapping of Deep Grey Matter in MS: Association With Clinical Scores and Brain Volume Measures

Brain and Behavior
Background Changes in quantitative susceptibility mapping (QSM) of the deep grey matter (DGM) in multiple sclerosis (MS) are thought to reflect tissue damage invisible in conventional magnetic resonance imaging (MRI) sequences, such as iron‐related ...
Cui Ci Voon, Jakob Meineke, Tun Wiltgen, Julian McGinnis, Ronja Berg, Christine Preibisch, Sarah Schlaeger, Benedikt Wiestler, Christina Engl, Achim Berthele, Jan S. Kirschke, Bernhard Hemmer, Mark Mühlau   +12 more
doaj   +1 more source

A pilot study assessing the clinical utility of deep learning-reconstructed 3D-echo-planar-imaging-based quantitative susceptibility mapping in multiple sclerosis

Frontiers in Neuroscience
BackgroundQuantitative susceptibility mapping (QSM) has emerged as a promising paraclinical tool in multiple sclerosis (MS). This retrospective pilot study aims to evaluate whether a recently proposed deep learning-assisted, k-space-operating ...
Dimitrios G. Gkotsoulias, Dimitrios G. Gkotsoulias, Dimitrios G. Gkotsoulias, Matthias Weigel, Matthias Weigel, Matthias Weigel, Matthias Weigel, Alessandro Cagol, Alessandro Cagol, Alessandro Cagol, Alessandro Cagol, Nina de Oliveira Soares Siebenborn, Esther Ruberte, Esther Ruberte, Esther Ruberte, Josef Pfeuffer, Cristina Granziera, Cristina Granziera, Cristina Granziera   +18 more
doaj   +1 more source