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The boundaries between tissues with different magnetic susceptibilities generate inhomogeneities in the main magnetic field which change over time due to motion, respiration and system instabilities. The dynamically changing field can be measured from the phase of the fMRI data and corrected. However, methods for doing so need multi-echo data, time-consuming reference scans and/or involve error-prone processing steps, such as phase unwrapping, which are difficult to implement robustly on the MRI host. The improved dynamic distortion correction method we propose is based on the phase of the single-echo EPI data acquired for fMRI, phase offsets calculated from a triple-echo, bipolar reference scan of circa 3-10 s duration using a method which avoids the need for phase unwrapping and an additional correction derived from one EPI volume in which the readout direction is reversed. This Reverse-Encoded First Image and Low resoLution reference scan (REFILL) approach is shown to accurately measure B as it changes due to shim, motion and respiration, even with large dynamic changes to the field at 7 T, where it led to a > 20% increase in time-series signal to noise ratio compared to data corrected with the classic static approach. fMRI results from REFILL-corrected data were free of stimulus-correlated distortion artefacts seen when data were corrected with static field mapping. The method is insensitive to shim changes and eddy current differences between the reference scan and the fMRI time series, and employs calculation steps that are simple and robust, allowing most data processing to be performed in real time on the scanner image reconstruction computer. These improvements make it feasible to routinely perform dynamic distortion correction in fMRI.
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http://dx.doi.org/10.1002/hbm.26440 | DOI Listing |
Dev Psychopathol
September 2025
Evolutionary and Population Biology, Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands.
The quality of research across psychology needs improvement. Ample evidence has indicated that publication bias, specifically making publication decisions based on a study's results, has led to a distorted literature (e.g.
View Article and Find Full Text PDFJ Chem Phys
September 2025
Department of Mathematics and Computer Science, Freie Universität, Berlin, Germany.
Coarse-grained (CG) molecular dynamics simulations extend the length and time scales of atomistic simulations by replacing groups of correlated atoms with CG beads. Machine-learned coarse-graining (MLCG) has recently emerged as a promising approach to construct highly accurate force fields for CG molecular dynamics. However, the calibration of MLCG force fields typically hinges on force matching, which demands extensive reference atomistic trajectories with corresponding force labels.
View Article and Find Full Text PDFJ Phys Chem Lett
September 2025
Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China.
Uranium-based materials show great promise as scintillators in ultraprecise detector application owing to their strong radiation stopping capabilities and excellent spatial resolution. However, the excited-state-driven ultrafast lattice dynamics of uranium compounds remain insufficiently understood. In this study, the lattice dynamics of CsUCl were investigated through density functional theory (DFT) and machine learning (ML).
View Article and Find Full Text PDFIEEE Trans Image Process
September 2025
3D imaging based on phase-shifting structured light is widely used in industrial measurement due to its non-contact nature. However, it typically requires a large number of additional images (multi-frequency heterodyne (M-FH) method) or introduces intensity features that compromise accuracy (space domain modulation phase-shifting (SDM-PS) method) for phase unwrapping, and it remains sensitive to motion. To overcome these issues, this article proposes a nonlinear phase coding-based stereo phase unwrapping (NPC-SPU) method that requires no additional patterns while maintaining measurement accuracy.
View Article and Find Full Text PDFAnn Glob Health
September 2025
Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Photographic imagery holds profound power in shaping narratives, identities, and perceptions in global health education. Historically, visual representation used in global health has perpetuated colonial hierarchies, reinforcing inequities and marginalizing the voices and lived realities of the communities they depict. These images can inadvertently sustain harmful stereotypes and distort the complexity of global health challenges.
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