Progressive pretraining network for 3D system matrix calibration in magnetic particle imaging

G Shi, L Yin, Y An, G Li, L Zhang, Z Bian… - … on Medical Imaging, 2023 - ieeexplore.ieee.org
Magnetic particle imaging (MPI) is an emerging technique for determining magnetic
nanoparticle distributions in biological tissues. Although system-matrix (SM)-based image …

Magnetic nanoparticles in theranostic applications

A Coene, J Leliaert - Journal of Applied Physics, 2022 - pubs.aip.org
Nanomedicine research recently started exploring the combination of therapy and
diagnostics, so-called theranostics, as an approach to offer a more flexible, personal, and …

ECG signal denoising and reconstruction based on basis pursuit

R Liu, M Shu, C Chen - Applied Sciences, 2021 - mdpi.com
The electrocardiogram (ECG) is widely used for the diagnosis of heart diseases. However,
ECG signals are easily contaminated by different noises. This paper presents efficient …

Hybrid system calibration for multidimensional magnetic particle imaging

A Von Gladiss, M Gräser, P Szwargulski… - Physics in Medicine …, 2017 - iopscience.iop.org
Magnetic particle imaging visualizes the spatial distribution of superparamagnetic
nanoparticles. Because of its key features of excellent sensitivity, high temporal and spatial …

Comparison of system-matrix-based and projection-based reconstructions for field free line magnetic particle imaging

S Ilbey, CB Top, A Güngör, T Çukur… - … Journal on Magnetic …, 2017 - journal.iwmpi.org
In magnetic particle imaging (MPI), system sensitivity can be enhanced by scanning the
sample along a field free line (FFL) instead of a field free point (FFP). FFL MPI data can then …

Non-equispaced system matrix acquisition for magnetic particle imaging based on Lissajous node points

C Kaethner, W Erb, M Ahlborg… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Magnetic Particle Imaging (MPI) is an emerging technology in the field of (pre) clinical
imaging. The acquisition of a particle signal is realized along specific sampling trajectories …

[PDF][PDF] 基于通道压缩的原子范数最小化DOA 估计算法

陈涛, 申梦雨, 史林, 杨健 - 仪器仪表学报, 2022 - yqyb.cnjournals.com
针对波达方向(DOA) 估计算法的精度以及分辨率受通道数目影响的问题, 本文提出了基于通道
压缩的原子范数最小化(CC-ANM) 无网格DOA 估计算法. 该算法首先对通道数进行压缩 …

Power quality data compression and disturbances recognition based on deep CS-BiLSTM algorithm with cloud-edge collaboration

X Xia, C He, Y Lv, B Zhang, SZ Wang… - Frontiers in Energy …, 2022 - frontiersin.org
The current disturbance classification of power quality data often has the problem of low
disturbance recognition accuracy due to its large volume and difficult feature extraction. This …

Joint parameter estimation algorithm for polarization-sensitive channel compression arrays based on atomic norm minimization

T Chen, X Hu, M Guo - AEU-International Journal of Electronics and …, 2024 - Elsevier
To reduce the complexity of direction-of-arrival (DOA) algorithms in polarization-sensitive
arrays and maintain high estimation accuracy while decreasing runtime, this paper proposes …

Integration method of compressed sensing with variational mode decomposition based on gray wolf optimization and its denoising effect in mud pulse signal

Z Yan, L Jiao, H Sun, R Sun, J Zhang - Review of Scientific Instruments, 2024 - pubs.aip.org
The continuous wave mud pulse transmission holds great promise for the future of downhole
data communication. However, significant noise interference during the transmission …