Results 161 to 170 of about 1,490 (262)

Underestimation of tibial tuberosity–trochlear groove distance in conventional knee magnetic resonance imaging compared to full‐extension imaging

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose To assess the effect of the knee flexion on the tibial tuberosity–trochlear groove (TT–TG) distance measurement by comparing conventional and whole‐leg rotational magnetic resonance imaging (MRI). Methods This retrospective cohort study included 45 patients with patellar dislocations who had undergone both conventional knee MRI with ...
Chantal Gaudes   +6 more
wiley   +1 more source

Sound speed contributions of solutes in water

open access: yesLimnology and Oceanography: Methods, EarlyView.
Abstract Understanding sound speed in natural waters is utilized in applications such as echo sounding, side scanning, temperature field tomography, evaluating compressibility and thermodynamic properties. While established approaches, such as the UNESCO formula and TEOS‐10 package, describe sound speed in oceanic waters, the information about the ...
Ivan Selyakov   +2 more
wiley   +1 more source

Manufacturing Nostalgia in the Digital Age: A Foreverism Perspective

open access: yesPsychology &Marketing, EarlyView.
ABSTRACT Many scholars argue that we are experiencing the era of “retro”—nostalgia‐driven marketing and consumption phenomena reinforced by digital technologies. However, existing research lacks a critical analysis of nostalgia in contemporary markets and of how digital content, tools, and environments transform retro consumption experiences and alter ...
Dinara Davlembayeva   +4 more
wiley   +1 more source

A Simple, Dynamic Geometric Phantom for MRI and CT Reconstruction Pipelines: Beyond Shepp–Logan

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT A customizable, dynamic geometric phantom was developed to bridge the gap between simplistic static phantoms and highly realistic, complex 4D solutions. The phantom enables initial testing, helps detect implementation errors, and supports quantitative evaluation of new dynamic acquisition and reconstruction methods.
Tamás Hakkel   +4 more
wiley   +1 more source

Deep Learning‐Based Dynamic Segmentation of the Left Atrium in 4D Flow MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To design a deep learning pipeline for automated, time‐resolved segmentation of the left atrium (LA) from 4D flow MRI data. Methods We studied 100 individuals including 65 patients with atrial fibrillation (AF) and 35 healthy subjects (HS) resulting in 2530 4D flow MRI time‐volumes acquired in different centers and scanners.
Jonas Leite   +16 more
wiley   +1 more source

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