Results 121 to 130 of about 83,346 (209)
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
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
“Two‐For‐One”: 4D Cardiac and Pulmonary MR Imaging From a Single Acquisition Using bSTAR
ABSTRACT Purpose To generate 4D (3D+time) images of both the heart and lungs using a single volumetric radial free‐breathing bSSFP dual echo acquisition (bSTAR) with two image reconstructions within a single pipeline deployed inline at 0.55 and 1.5 T.
Pierre Daudé +9 more
wiley +1 more source
ABSTRACT Purpose To develop a unified image reconstruction framework that bridges real‐time and gated cardiac MRI, including quantitative MRI. Methods We introduce generative multitasking, which learns subject‐ and dataset‐specific implicit neural temporal bases from sequence timings and an interpretable latent space for cardiac and respiratory motion.
Xinguo Fang, Anthony G. Christodoulou
wiley +1 more source
Training Deep Learning Based Dynamic MR Image Reconstruction Using Synthetic Fractals
ABSTRACT Purpose To investigate whether synthetically generated fractal data can be used to train deep learning (DL) models for dynamic MRI reconstruction, thereby avoiding the privacy, licensing, and availability limitations associated with cardiac MR training datasets.
Anirudh Raman +10 more
wiley +1 more source
ABSTRACT Objective This study evaluates the procedural characteristics, complications, and outcomes of intrauterine transfusion (IUT) for fetal anemia caused by parvovirus B19 infection during the 2023–2024 epidemic in Northwestern Europe. Method This multicenter observational study included all fetuses undergoing IUT for proven parvovirus B19‐induced ...
Banu Özbakir +6 more
wiley +1 more source
This study introduces an acoustics‐assisted tissue engineering approach, termed “Acoustic Tweezers‐Assisted Biomaterial Molding in Petri Dishes (TAMP),” which enables the fabrication of tissues with customizable extracellular matrix (ECM) geometries and various acoustically constructed internal cellular architectures, including parallel elongated ...
Yingshan Du +11 more
wiley +1 more source
MXene Bioinks for 3D Bioprinting: Design and Translation
This study establishes a comprehensive framework for MXene‐based bioinks in 3D bioprinting, highlighting the interplay between rheological engineering and electroactive hydrogels. By optimizing electrical percolation and mediated signaling, these formulations drive tissue‐specific biological outcomes and accelerated regeneration.
Begüm Sarac +2 more
wiley +1 more source
ABSTRACT Chemical pollutants pose a significant threat to marine ecosystems. Among these contaminants are trace elements and polycyclic aromatic hydrocarbons (PAH). Green turtles can be employed to evaluate the oceans' health due to their coastal habitats and exposure to multiple threats.
Camila Roberta da Silva Ribeiro +6 more
wiley +1 more source

