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Transcranial ultrasound localization microscopy (t-ULM) is faced with challenges posed by the skull, including acoustic attenuation and phase aberrations. There is a significant request for an efficient aberration correction method achieving a great balance between computational complexity and accuracy. In this study, the ray theory is first applied to in-vivo transcranial imaging to calculate the traveltime table in the inhomogeneous medium model of the imaging region. The velocity model is derived through the skull segmentation, and the autofocus method is employed to estimate the longitudinal wave speed of the skull. The validity of the proposed method is substantiated through time-domain simulations and in-vivo t-ULM experiments in rat brains. Results show that the ray theory-based aberration correction enables a spatial resolution improvement of 15.3 % (about 5.3 μm) and an imaging saturation enhancement of 3.6 % on average, revealing the vessels down to 27.6 μm in diameter. Moreover, the vasculature in the cerebral cortex, affected by multiple reflections, can be reconstructed successfully by the intensity compensation. This work provides an efficient ray theory-based solution to the aberration and its first in-vivo validation in t-ULM. The effect of speed estimation errors of the rat skull on aberration correction was clarified. Ray theory-based method holds great promise for transcranial microvascular imaging.
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http://dx.doi.org/10.1016/j.ultras.2025.107802 | DOI Listing |
Ultrasonics
August 2025
College of Biomedical Engineering, Fudan University, Shanghai 200438, China; State Key Laboratory of Integrated Chips and Systems, Fudan University, Shanghai 200438, China; Poda Medical Technology Co., Ltd., Shanghai 200433, China. Electronic address:
Transcranial ultrasound localization microscopy (t-ULM) is faced with challenges posed by the skull, including acoustic attenuation and phase aberrations. There is a significant request for an efficient aberration correction method achieving a great balance between computational complexity and accuracy. In this study, the ray theory is first applied to in-vivo transcranial imaging to calculate the traveltime table in the inhomogeneous medium model of the imaging region.
View Article and Find Full Text PDFBackground: Lung cancer is the leading cause of cancer deaths worldwide. Screening high-risk individuals with low-dose CT (LDCT) reduces mortality through earlier detection, when treatment may be curable. In countries where formal screening programmes exist, uptake among eligible populations remains low.
View Article and Find Full Text PDFJ Chem Phys
July 2025
Ruđer Bošković Institute, Zagreb, Croatia.
Real-time pump-probe experiments are powerful tools for monitoring chemical reactions but often need parallel theoretical modeling to disentangle different contributions. Monitoring x-ray spectra of photoinduced dynamics of CO on Ru(0001) provided a strong indication for a transient "precursor state" of unidentified nature to various subsequent outcomes. So far, the precise nature of the postulated precursor has also remained elusive in state-of-the-art ab initio molecular dynamics models, including single-moving CO molecules.
View Article and Find Full Text PDFChemistry
June 2025
Goethe University Frankfurt, Institute of Geosciences, Altenhöferallee 1, 60438, Frankfurt, Germany.
Single crystals of carbonic acid (HCO) were synthesized in a laser-heated diamond anvil cell at moderate pressures between 5 and 13 GPa by reacting HO with CO. Its monoclinic crystal structure (P2/n with Z = 4) has been obtained from synchrotron single-crystal X-ray diffraction experiments at ≈8 GPa. The positions of the hydrogen atoms have been determined from the experimental data.
View Article and Find Full Text PDFEur J Clin Nutr
August 2025
Exercise and Health Laboratory, CIPER, Faculty of Human Kinetics, University of Lisbon, Estrada da Costa, 1499-002, Cruz-Quebrada, Portugal.
Background/objectives: Dual-energy x-ray absorptiometry (DXA) has been suggested as an alternative method for estimating body volume (BV), a component of the reference four-compartment body composition model. This study reports the development and validation of DXA-BV, a novel DXA-derived BV equation. An additional aim was to develop an estimate of lean soft tissue density (D), a key variable in the theory-based approach, by estimating total body protein with a six-compartment model.
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