AIMC Topic: Echo-Planar Imaging
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Simultaneous superresolution reconstruction and distortion correction for single-shot EPI DWI using deep learning.
Magnetic resonance in medicine
Jan 27, 2023
PURPOSE: Single-shot (SS) EPI is widely used for clinical DWI. This study aims to develop an end-to-end deep learning-based method with a novel loss function in an improved network structure to simultaneously increase the resolution and correct disto...
Rapid high-fidelity mapping using single-shot overlapping-echo acquisition and deep learning reconstruction.
Magnetic resonance in medicine
Jan 19, 2023
PURPOSE: To develop and evaluate a single-shot quantitative MRI technique called GRE-MOLED (gradient-echo multiple overlapping-echo detachment) for rapid mapping.
Artificial intelligence based image quality enhancement in liver MRI: a quantitative and qualitative evaluation.
La Radiologia medica
Sep 7, 2022
PURPOSE: To compare liver MRI with AIR Recon Deep Learning™(ARDL) algorithm applied and turned-off (NON-DL) with conventional high-resolution acquisition (NAÏVE) sequences, in terms of quantitative and qualitative image analysis and scanning time.
EPI phase error correction with deep learning (PEC-DL) at 7 T.
Magnetic resonance in medicine
Jun 13, 2022
PURPOSE: The phase mismatch between odd and even echoes in EPI causes Nyquist ghost artifacts. Existing ghost correction methods often suffer from severe residual artifacts and are ineffective with k-space undersampling data. This study proposed a de...
Deep learning network for integrated coil inhomogeneity correction and brain extraction of mixed MRI data.
Scientific reports
May 20, 2022
Magnetic Resonance Imaging (MRI) has been widely used to acquire structural and functional information about the brain. In a group- or voxel-wise analysis, it is essential to correct the bias field of the radiofrequency coil and to extract the brain ...
A simultaneous multi-slice T mapping framework based on overlapping-echo detachment planar imaging and deep learning reconstruction.
Magnetic resonance in medicine
Jan 11, 2022
PURPOSE: Quantitative MRI (qMRI) is of great importance to clinical medicine and scientific research. However, most qMRI techniques are time-consuming and sensitive to motion, especially when a large 3D volume is imaged. To accelerate the acquisition...
An artificial intelligence-accelerated 2-minute multi-shot echo planar imaging protocol for comprehensive high-quality clinical brain imaging.
Magnetic resonance in medicine
Dec 31, 2021
PURPOSE: We introduce and validate an artificial intelligence (AI)-accelerated multi-shot echo-planar imaging (msEPI)-based method that provides T1w, T2w, , T2-FLAIR, and DWI images with high SNR, high tissue contrast, low specific absorption rates ...
Deep learning based multiplexed sensitivity-encoding (DL-MUSE) for high-resolution multi-shot DWI.
NeuroImage
Oct 7, 2021
PURPOSE: A phase correction method for high-resolution multi-shot (MSH) diffusion weighted imaging (DWI) is proposed. The efficacy and generalization capability of the method were validated on both healthy volunteers and patients.
Deep Learning-Enabled Identification of Autoimmune Encephalitis on 3D Multi-Sequence MRI.
Journal of magnetic resonance imaging : JMRI
Sep 3, 2021
BACKGROUND: Autoimmune encephalitis (AE) is a noninfectious emergency with severe clinical attacks. It is difficult for the earlier diagnosis of acute AE due to the lack of antibody detection resources.
Lesion probability mapping in MS patients using a regression network on MR fingerprinting.
BMC medical imaging
Jul 8, 2021
BACKGROUND: To develop a regression neural network for the reconstruction of lesion probability maps on Magnetic Resonance Fingerprinting using echo-planar imaging (MRF-EPI) in addition to [Formula: see text], [Formula: see text], NAWM, and GM- proba...
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