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Background: Flow-related ghost artifact from a 3D Magnetization Prepared Rapid Gradient Echo (MPRAGE) sequence results from unsaturated magnetization of incoming arterial flow. This is especially common on MR scanners equipped with smaller radiofrequency (RF) transmit coils. A high-performance compact 3T (C3T) scanner features a smaller RF-transmit coil (inner diameter 37 cm, length 40 cm), leading to a rapid fall-off of the B1 field below the neck. This configuration results in more intense flow-related ghost artifacts, especially in younger patients.
Purpose: The C3T scanner's smaller RF-transmit coil provides RF field coverage over the brain region, causing bright in-flow arterial signals and flow-related artifacts in the conventional 3D-MPRAGE scans. The purpose of this study is to suppress these artifacts by adding a RF saturation band (RFSB) pulses to the 3D-MPRAGE sequence.
Methods: The RFSB was added to the 3D-MPRAGE sequence as a preparation pulse option. To test the effectiveness, 37 subjects were scanned on the C3T under an IRB-approved protocol using 3D-MPRAGE with and without RFSB. Ten of those subjects underwent repeated scans with and without RFSB to evaluate test-retest reliability. A consensus evaluation by two neuroradiologists was performed on all data to compare signal to noise ratio, image contrast, presence of artifacts, and diagnostic confidence. Quantitative analysis included calculating test-retest differences by image subtraction and evaluating the variance in flow-artifact-induced image intensity between the scans with and without RFSB. Additionally, one subject was scanned on a whole-body 3T scanner using a transmit/receive (T/R) head coil to demonstrate the method's applicability across different MRI platforms as a proof of concept.
Results: The Wilcoxon signed-rank test of the neuroradiologist evaluations showed a significant reduction in artifacts and an improvement in diagnostic confidence in the posterior fossa region with and without RFSB (p < 0.0001). Test-retest analysis showed that adding RFSB significantly reduced image intensity variability in the cerebellum, even among subjects without visible flow artifacts. The normalized difference decreased from 8.71% to 6.41% (p = 0.0059), suggesting improved image reliability in regions prone to flow-related artifacts. Additionally, similar findings were observed in scans on a whole-body 3T with a T/R head coil, demonstrating the broader applicability of this method.
Conclusion: Incorporating RFSB into 3D-MPRAGE scans effectively reduces flow-related ghost artifact on the C3T scanner, improving image quality and diagnostic confidence. These findings suggest that the proposed method could be widely implemented across MRI systems utilizing a smaller RF-transmit coil.
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http://dx.doi.org/10.1002/mp.18039 | DOI Listing |
Phys Rev Lett
August 2025
California Institute of Technology, TAPIR, Division of Physics, Mathematics, and Astronomy, Pasadena, California 91125, USA.
In the gravitational-wave analysis of pulsar-timing-array datasets, parameter estimation is usually performed using Markov chain Monte Carlo methods to explore posterior probability densities. We introduce an alternative procedure that instead relies on stochastic gradient-descent Bayesian variational inference, whereby we obtain the weights of a neural-network-based approximation of the posterior by minimizing the Kullback-Leibler divergence of the approximation from the exact posterior. This technique is distinct from simulation-based inference with normalizing flows since we train the network for a single dataset, rather than the population of all possible datasets, and we require the computation of the data likelihood and its gradient.
View Article and Find Full Text PDFAnal Methods
September 2025
Jilin Province Product Quality Supervision and Inspection Institute, Changchun 130103, China.
A method for determination of ten kinds of sweeteners in soybean products by multi-plug filtration cleanup (-PFC) combined with ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was established. The sample was extracted with acetonitrile (containing 1% formic acid), degreased by using -hexane liquid-liquid extraction and purified by solid phase extraction using an -PFC column (Oasis PRiME HLB). The analytes were separated by using a Waters ACQUITY UPLC® BEH C (2.
View Article and Find Full Text PDFIntroduction: Effective triage in the emergency department (ED) is essential for optimizing resource allocation, improving efficiency, and enhancing patient outcomes. Conventional systems rely heavily on clinical judgment and standardized guidelines, which may be insufficient under growing patient volumes and increasingly complex presentations.
Methods: We developed a machine learning triage model, MIGWO-XGBOOST, which incorporates a Multi-strategy Improved Gray Wolf Optimization (MIGWO) algorithm for parameter tuning.
Mikrochim Acta
September 2025
Department of Surgical Oncology, Shaanxi Provincial People's Hospital, 256 Friendship West Road, Beilin District, Xi'an, 710068, Shaanxi, China.
Mycoplasma pneumonia, a primary aetiological agent of atypical pneumonia, necessitates the implementation of rapid point-of-care diagnostics. Lateral flow immunoassays (LFIAs) hold promise for point-of-care testing (POCT), yet their sensitivity levels are frequently constrained by probe affinity and matrix interference. We introduce an orientational labelling strategy that employs magnetic nanoparticles (MNPs) functionalized with staphylococcal protein A (SPA) to simultaneously enhance antibody orientation and facilitate magnetic enrichment.
View Article and Find Full Text PDFNano Lett
September 2025
State Key Laboratory of Materials Low-Carbon Recycling, College of Materials Science and Engineering, Beijing University of Technology, Beijing 100124, P. R. China.
Two-dimensional (2D) nanofluidic architectures with nanoconfined interlayer channels and excess surface charges have revolutionized membrane-based reverse electrodialysis systems, demonstrating highly efficient osmotic energy collection through strong electrostatic screening of electric double layer (EDL). However, the ion-transport dynamics in 2D nanofluidic anion-selective membranes (2D-NAMs) still remain unexplored. Here, we combine density functional theory and molecular dynamics (MD) simulations to systematically explore ion transport in the 2D-NAMs.
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