Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Golden‐angle radial MRI: basics, advances, and applications
L Feng - Journal of Magnetic Resonance Imaging, 2022 - Wiley Online Library
In recent years, golden‐angle radial sampling has received substantial attention and interest
in the magnetic resonance imaging (MRI) community, and it has become a popular sampling …
in the magnetic resonance imaging (MRI) community, and it has become a popular sampling …
Compressed sensing MRI: a review of the clinical literature
MRI is one of the most dynamic and safe imaging techniques available in the clinic today.
However, MRI acquisitions tend to be slow, limiting patient throughput and limiting potential …
However, MRI acquisitions tend to be slow, limiting patient throughput and limiting potential …
DAGAN: deep de-aliasing generative adversarial networks for fast compressed sensing MRI reconstruction
Compressed sensing magnetic resonance imaging (CS-MRI) enables fast acquisition, which
is highly desirable for numerous clinical applications. This can not only reduce the scanning …
is highly desirable for numerous clinical applications. This can not only reduce the scanning …
XD‐GRASP: golden‐angle radial MRI with reconstruction of extra motion‐state dimensions using compressed sensing
Purpose To develop a novel framework for free‐breathing MRI called XD‐GRASP, which
sorts dynamic data into extra motion‐state dimensions using the self‐navigation properties …
sorts dynamic data into extra motion‐state dimensions using the self‐navigation properties …
Golden‐angle radial sparse parallel MRI: combination of compressed sensing, parallel imaging, and golden‐angle radial sampling for fast and flexible dynamic …
Purpose To develop a fast and flexible free‐breathing dynamic volumetric MRI technique,
iterative Golden‐angle RAdial Sparse Parallel MRI (iGRASP), that combines compressed …
iterative Golden‐angle RAdial Sparse Parallel MRI (iGRASP), that combines compressed …
Low‐rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components
Purpose To apply the low‐rank plus sparse (L+ S) matrix decomposition model to
reconstruct undersampled dynamic MRI as a superposition of background and dynamic …
reconstruct undersampled dynamic MRI as a superposition of background and dynamic …
Compressed sensing for body MRI
The introduction of compressed sensing for increasing imaging speed in magnetic
resonance imaging (MRI) has raised significant interest among researchers and clinicians …
resonance imaging (MRI) has raised significant interest among researchers and clinicians …
Compressed sensing MRI: a review from signal processing perspective
JC Ye - BMC Biomedical Engineering, 2019 - Springer
Magnetic resonance imaging (MRI) is an inherently slow imaging modality, since it acquires
multi-dimensional k-space data through 1-D free induction decay or echo signals. This often …
multi-dimensional k-space data through 1-D free induction decay or echo signals. This often …
Reducing acquisition time in clinical MRI by data undersampling and compressed sensing reconstruction
KG Hollingsworth - Physics in Medicine & Biology, 2015 - iopscience.iop.org
MRI is often the most sensitive or appropriate technique for important measurements in
clinical diagnosis and research, but lengthy acquisition times limit its use due to cost and …
clinical diagnosis and research, but lengthy acquisition times limit its use due to cost and …
[PDF][PDF] Towards routine clinical use of radial stack-of-stars 3D gradient-echo sequences for reducing motion sensitivity
Purpose: To describe how a robust implementation of a radial 3D gradient-echo sequence
with stack-of-stars sampling can be achieved, to review the imaging properties of radial …
with stack-of-stars sampling can be achieved, to review the imaging properties of radial …