Results 81 to 90 of about 55,187 (266)
The effect of cardiac phase on distractor suppression and motor inhibition in a stop-signal task
Past work has shown that stimuli timed to the cardiac systole, the time at which heartbeat feedback is transmitted to the brain, can be more effectively selected from conflicting information.
Amanda C. Marshall +4 more
doaj +1 more source
Acute Effects of Smoking and Vaping on Markers of Vascular Function via Quantitative MRI
ABSTRACT Background E‐cigarettes contribute to endothelial dysfunction, a known cause of systemic atherosclerotic disease that cannot be adequately characterized by a single physiological parameter measured at a single vascular bed. Purpose/Hypothesis Quantify and compare acute effects of smoking or vaping with tobacco cigarettes (t‐cigs), nicotinized ...
Marianne Nabbout +9 more
wiley +1 more source
ABSTRACT Myocardial infarction (MI) is the most severe clinical manifestation of coronary artery diseases (CVD) and serves as a critical driver of sudden cardiac death and heart failure (HF). Its pathophysiology begins with the abrupt cessation of coronary blood flow, leading to severe ischemia and subsequent cardiomyocyte necrosis. This study aimed to
Cheng‐Cheng Wei +2 more
wiley +1 more source
A Simple, Dynamic Geometric Phantom for MRI and CT Reconstruction Pipelines: Beyond Shepp–Logan
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
Fuzzy logika alkalmazása a páciens monitorozásban
Az orvosi gyakorlatban az emberi szervezetben mérhető értékekhez a legtöbb esetben egy általános határértéket adnak meg, hogy az adott paraméter mettől-meddig normál értékű. A valóságban a határok egyénenként változnak, mert a korunk, a környezetünk, az
Anna Krisztina Tamás, Edit Tóth-Laufer
doaj
Deep Learning‐Based Dynamic Segmentation of the Left Atrium in 4D Flow MRI
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
ESC Heart Failure, Volume 12, Issue 2, Page 727-729, April 2025.
Wojciech Kosmala +1 more
wiley +1 more source
ABSTRACT Purpose To validate the performance of an open‐source cardiac diffusion sequence framework and to investigate hardware‐based performance differences. Methods Three second order motion compensated sequence files were compiled using Pulseq and applied across different MRI systems to image five volunteers.
Eric Arbes +7 more
wiley +1 more source
This is the first study assessing in vivo blood flow profiles during extracorporeal circulation (ECC) scenarios. Magnetic resonance imaging data served for the calibration of computational fluid dynamics algorithms, enabling accurate replication of the hemodynamic conditions.
Anna Kathrin Assmann +9 more
wiley +1 more source
Summary A 4‐year‐old, 6‐month pregnant, Welsh pony mare presented with severe acute clinical signs including depression, anorexia, pale mucous membranes, tachycardia with a grade 4/6 holosystolic murmur and moderate expiratory dyspnoea with diffuse wheezes. There was no evidence of placentitis or fetal distress.
M. F. David +4 more
wiley +1 more source

