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Dynamic X-ray Microtomography vs. Laser-Doppler Vibrometry: A Comparative Study.
J Assoc Res Otolaryngol
January 2025
Department of Otorhinolaryngology, Head and Neck Surgery, Inselspital, Bern University Hospital, University of Bern, 3010, Freiburgstrasse, Bern, Switzerland.
Purpose: There are challenges in understanding the biomechanics of the human middle ear, and established methods for studying this system show significant limitations. In this study, we evaluate a novel dynamic imaging technique based on synchrotron X-ray microtomography designed to assess the biomechanical properties of the human middle ear by comparing it to laser-Doppler vibrometry (LDV).
Methods: We examined three fresh-frozen temporal bones (TB), two donated by white males and one by a Black female, using dynamic synchrotron-based X-ray microtomography for 256 and 512 Hz, stimulated at 110 dB and 120 dB sound pressure level (SPL).
Ultrafast Coherence-Based Power Doppler Estimation Using Nonlinear Compounding With Complementary Subset Transmit.
Ultrasound Med Biol
January 2025
Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.
Objective: Conventional coherent plane wave compounding (CPWC) and sum-of-square power Doppler (PD) estimation lead to low contrast and high noise level in ultrafast PD imaging when the number of plane-wave angle and the ensemble length is limited. The coherence-based PD estimation using temporal-multiply-and-sum (TMAS) of high-lag autocorrelation can effectively suppress the uncorrelated noises but at the cost of signal power due to the blood flow decorrelation.
Methods: In this study, the TMAS PD estimation is incorporated with complementary subset transmit in nonlinear compounding (DMAS-CST) to leverage the signal coherence in both angular and temporal dimensions for improvement of PD image quality.
Analysis of factors related to venous thrombosis after ankle fracture combined with type 2 diabetes mellitus applying tourniquet surgery.
Medicine (Baltimore)
November 2024
Ya'an Hospital of Traditional Chinese Medicine, Ya'an, China.
The objective was to study the risk factors of venous thrombosis after ankle fracture with type 2 diabetes mellitus surgery using a tourniquet and to assess the effect of ischemic preconditioning and metformin combination therapy in preventing thrombosis. One hundred eighty patients with ankle fractures combined with type 2 diabetes mellitus treated with lower extremity tourniquet surgery between January 2020 and December 2023 were analyzed. Based on postoperative color Doppler ultrasound of both lower extremities, the patients were divided into thrombus-positive and negative groups.
View Article and Find Full Text PDFSD-LayerNet: Robust and label-efficient retinal layer segmentation via anatomical priors.
Comput Methods Programs Biomed
January 2025
Christian Doppler Laboratory for Artificial Intelligence in Retina, Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria; Institute of Artificial Intelligence, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.
Background And Objectives: Automated, anatomically coherent retinal layer segmentation in optical coherence tomography (OCT) is one of the most important components of retinal disease management. However, current methods rely on large amounts of labeled data, which can be difficult and expensive to obtain. In addition, these systems tend often propose anatomically impossible results, which undermines their clinical reliability.
View Article and Find Full Text PDFHemispheric asymmetries in the auditory cortex reflect discriminative responses to temporal details or summary statistics of stationary sounds.
Cortex
January 2025
Molecular Mind Lab, IMT School for Advanced Studies Lucca, Italy. Electronic address:
The processing of stationary sounds relies on both local features and compact representations. As local information is compressed into summary statistics, abstract representations emerge. Whether the brain is endowed with distinct neural architectures predisposed to such computations is unknown.
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