Results 211 to 220 of about 209,152 (323)

FlowVN Trained on a Single Dataset Enables Rapid Reconstruction of Highly Accelerated 4D Flow MRI Across Multiple Sites

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose The aim of this study is to evaluate a deep variational network, FlowVN, for the reconstruction of heavily undersampled 4D Flow MRI across multiple sites. Methods FlowVN was trained on fully sampled 4D Flow MRI datasets of healthy volunteers from one site. The model was tested on retrospective undersampled data (R = 6–22) of six normal
Sohaib Ayaz Qazi   +6 more
wiley   +1 more source

Phase‐Pole‐Free Images and Smooth Coil Sensitivity Maps by Regularized Nonlinear Inversion

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Phase singularities are a common problem in image reconstruction with auto‐calibrated sensitivities due to an inherent ambiguity of the estimation problem. The purpose of this work is to develop a method for detecting and correcting phase poles in non‐linear inverse (NLINV) reconstruction of MR images and coil sensitivity maps ...
Moritz Blumenthal, Martin Uecker
wiley   +1 more source

Free‐Breathing Magnetization Transfer Imaging of the Lung at 0.55 T Using bSTAR

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a clinically applicable method for magnetization transfer (MT) imaging of the lung at 0.55 T. Methods MT imaging of the chest was explored in healthy volunteers at 0.55 T using a self‐gated 3D half‐radial dual‐echo balanced steady‐state free precession sequence (bSTAR), a 2D multi‐slice gradient echo method (GRE) acquired in
Alexandra Braun   +5 more
wiley   +1 more source

ResNet-18 based multi-task visual inference and adaptive control for an edge-deployed autonomous robot. [PDF]

open access: yesFront Robot AI
Silva Araujo SDC   +8 more
europepmc   +1 more source

Deep‐Learning‐Based Image Reconstruction to Improve End‐Diastolic and Systolic Cardiac T1 Mapping

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop an image reconstruction method that enables increased spatial resolution cardiac T1 mapping in both the end‐diastolic and systolic phase, that shows high T1 agreement with the clinical standard. The resolution gain is achieved by increasing the acceleration rate of MOLLI single‐shot images to R = 4, while maintaining a ...
Daniel Amsel   +10 more
wiley   +1 more source

GPU-Accelerated Artificial Intelligence Applications in Cancer Diagnosis, Imaging, and Treatment Planning. [PDF]

open access: yesAsian Pac J Cancer Prev
Montazer F   +12 more
europepmc   +1 more source

Advancing Quantitative Susceptibility Mapping With 2.5D Diffusion Models for Rapid Intracranial Hemorrhage Quantification

open access: yesMagnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a generative diffusion model‐based approach for robust and efficient quantitative susceptibility mapping (QSM) reconstruction in intracranial hemorrhage (ICH), applicable to both standard gradient echo (GRE) and rapid echo planar imaging (EPI) acquisitions.
Zhuang Xiong   +6 more
wiley   +1 more source

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