[HTML][HTML] Common artefacts encountered on images acquired with combined compressed sensing and SENSE
T Sartoretti, C Reischauer, E Sartoretti, C Binkert… - Insights into …, 2018 - Springer
Various techniques have been proposed which aim at scan time reduction and/or at
improved image quality by increasing the spatial resolution. Compressed sensing (CS) …
improved image quality by increasing the spatial resolution. Compressed sensing (CS) …
Reconstruction of multicontrast MR images through deep learning
Purpose Magnetic resonance (MR) imaging with a long scan time can lead to degraded
images due to patient motion, patient discomfort, and increased costs. For these reasons …
images due to patient motion, patient discomfort, and increased costs. For these reasons …
Experimental design for MRI by greedy policy search
In today's clinical practice, magnetic resonance imaging (MRI) is routinely accelerated
through subsampling of the associated Fourier domain. Currently, the construction of these …
through subsampling of the associated Fourier domain. Currently, the construction of these …
Sparse reconstruction techniques in magnetic resonance imaging: methods, applications, and challenges to clinical adoption
AC Yang, M Kretzler, S Sudarski, V Gulani… - Investigative …, 2016 - journals.lww.com
The family of sparse reconstruction techniques, including the recently introduced
compressed sensing framework, has been extensively explored to reduce scan times in …
compressed sensing framework, has been extensively explored to reduce scan times in …
Image recovery via transform learning and low-rank modeling: The power of complementary regularizers
Recent works on adaptive sparse and on low-rank signal modeling have demonstrated their
usefulness in various image/video processing applications. Patch-based methods exploit …
usefulness in various image/video processing applications. Patch-based methods exploit …
Knee imaging: Rapid three‐dimensional fast spin‐echo using compressed sensing
R Kijowski, H Rosas, A Samsonov… - Journal of Magnetic …, 2017 - Wiley Online Library
Purpose To investigate the feasibility of using compressed sensing (CS) to accelerate three‐
dimensional fast spin‐echo (3D‐FSE) imaging of the knee. Materials and Methods A 3D …
dimensional fast spin‐echo (3D‐FSE) imaging of the knee. Materials and Methods A 3D …
A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2Noise
In recent years, there has been attention on leveraging the statistical modeling capabilities
of neural networks for reconstructing sub-sampled Magnetic Resonance Imaging (MRI) data …
of neural networks for reconstructing sub-sampled Magnetic Resonance Imaging (MRI) data …
[HTML][HTML] Compressive sensing-based IoT applications: A review
The Internet of Things (IoT) holds great promises to provide an edge cutting technology that
enables numerous innovative services related to healthcare, manufacturing, smart cities and …
enables numerous innovative services related to healthcare, manufacturing, smart cities and …
Hepatobiliary phase imaging in cirrhotic patients using compressed sensing and controlled aliasing in parallel imaging results in higher acceleration
S Yoon, YS Shim, SH Park, J Sung, MD Nickel… - European …, 2024 - Springer
Objective We aimed to compare the image quality and focal lesion detection ability of
hepatobiliary phase (HBP) images obtained using compressed sensing (CS) and controlled …
hepatobiliary phase (HBP) images obtained using compressed sensing (CS) and controlled …
From compressed‐sensing to deep learning MR: Comparative biventricular cardiac function analysis in a patient cohort
Background Conventional segmented, retrospectively gated cine (Conv‐cine) is challenged
in patients with breath‐hold difficulties. Compressed sensing (CS) has shown values in cine …
in patients with breath‐hold difficulties. Compressed sensing (CS) has shown values in cine …