Cargando…

High-Resolution 3D MRI With Deep Generative Networks via Novel Slice-Profile Transformation Super-Resolution

High-resolution magnetic resonance imaging (MRI) sequences, such as 3D turbo or fast spin-echo (TSE/FSE) imaging, are clinically desirable but suffer from long scanning time-related blurring when reformatted into preferred orientations. Instead, multi-slice two-dimensional (2D) TSE imaging is common...

Descripción completa

Detalles Bibliográficos
Autores principales:	LIN, JIAHAO, MIAO, QI, SURAWECH, CHUTHAPORN, RAMAN, STEVEN S., ZHAO, KAI, WU, HOLDEN H., SUNG, KYUNGHYUN
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501177/ https://www.ncbi.nlm.nih.gov/pubmed/37711392 http://dx.doi.org/10.1109/access.2023.3307577

Ejemplares similares

Deep Learning Enables Prostate MRI Segmentation: A Large Cohort Evaluation With Inter-Rater Variability Analysis
por: Liu, Yongkai, et al.
Publicado: (2021)

Reliability of computed tomography-based renal cortex volume to determine split renal function in preoperative living kidney donors
por: Surawech, Chuthaporn, et al.
Publicado: (2019)

Super‐resolution reconstruction of T2‐weighted thick‐slice neonatal brain MRI scans
por: Askin Incebacak, N. Ceren, et al.
Publicado: (2021)

Super-Resolution Arterial Spin Labeling Using Slice-Dithered Enhanced Resolution and Simultaneous Multi-Slice Acquisition
por: Shou, Qinyang, et al.
Publicado: (2021)

Super‐resolution of brain tumor MRI images based on deep learning
por: Zhou, Zhiyi, et al.
Publicado: (2022)

Fast and High-Resolution Neonatal Brain MRI Through Super-Resolution Reconstruction From Acquisitions With Variable Slice Selection Direction
por: Sui, Yao, et al.
Publicado: (2021)

FA-GAN: Fused attentive generative adversarial networks for MRI image super-resolution
por: Jiang, Mingfeng, et al.
Publicado: (2021)

Unbalanced SSFP for super-resolution in MRI
por: Lally, Peter J., et al.
Publicado: (2021)

SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks
por: Zhang, Kuan, et al.
Publicado: (2022)

DL-MRI: A Unified Framework of Deep Learning-Based MRI Super Resolution
por: Liu, Huanyu, et al.
Publicado: (2021)

Super-resolution reconstruction in ultrahigh-field MRI
por: Payne, Macy, et al.
Publicado: (2023)

Generating High-Resolution CT Slices from Two Image Series Using Deep-Learning-Based Resolution Enhancement Methods
por: Chao, Heng-Sheng, et al.
Publicado: (2022)

Brightness Invariant Deep Spectral Super-Resolution
por: Stiebel, Tarek, et al.
Publicado: (2020)

Deep robust residual network for super-resolution of 2D fetal brain MRI
por: Song, Liyao, et al.
Publicado: (2022)

SRflow: Deep learning based super-resolution of 4D-flow MRI data
por: Shit, Suprosanna, et al.
Publicado: (2022)

Arbitrary Scale Super-Resolution for Brain MRI Images
por: Tan, Chuan, et al.
Publicado: (2020)

Super-Resolution Generative Adversarial Network Based on the Dual Dimension Attention Mechanism for Biometric Image Super-Resolution
por: Huang, Chi-En, et al.
Publicado: (2021)

Super-Resolution for Improving EEG Spatial Resolution using Deep Convolutional Neural Network—Feasibility Study
por: Kwon, Moonyoung, et al.
Publicado: (2019)

Polarization Super-Resolution Imaging Method Based on Deep Compressed Sensing
por: Xu, Miao, et al.
Publicado: (2022)

To shift or to rotate? Comparison of acquisition strategies for multi-slice super-resolution magnetic resonance imaging
por: Nicastro, Michele, et al.
Publicado: (2022)

Super-resolution of magnetic systems using deep learning
por: Lee, D. B., et al.
Publicado: (2023)

Fully Cross-Attention Transformer for Guided Depth Super-Resolution
por: Ariav, Ido, et al.
Publicado: (2023)

A Transformer-Based Model for Super-Resolution of Anime Image
por: Xu, Shizhuo, et al.
Publicado: (2022)

Super-resolution reconstruction based on Gaussian transform and attention mechanism
por: Zou, Shuilong, et al.
Publicado: (2023)

3D MRI Reconstruction Based on 2D Generative Adversarial Network Super-Resolution
por: Zhang, Hongtao, et al.
Publicado: (2021)

Self-Super-Resolution of an MRI Image with Assistance of the DSTTD System
por: Vasanth Raj, P. T., et al.
Publicado: (2022)

Super-Resolution Swin Transformer and Attention Network for Medical CT Imaging
por: Hu, Jianhua, et al.
Publicado: (2022)

Deep learning-based super-resolution in coherent imaging systems
por: Liu, Tairan, et al.
Publicado: (2019)

Super resolution DOA estimation based on deep neural network
por: Liu, Wanli
Publicado: (2020)

Deep Unsupervised Fusion Learning for Hyperspectral Image Super Resolution
por: Liu, Zhe, et al.
Publicado: (2021)

Deep Learning-Based Point-Scanning Super-Resolution Imaging
por: Fang, Linjing, et al.
Publicado: (2021)

Super-resolution biomolecular crystallography with low-resolution data
por: Schröder, Gunnar F., et al.
Publicado: (2010)

Spatial Resolution of Coherent Cathodoluminescence Super-Resolution Microscopy
por: Schefold, Joris, et al.
Publicado: (2019)

An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI
por: Ebner, Michael, et al.
Publicado: (2020)

Super-resolution re-scan second harmonic generation microscopy
por: Stanciu, Stefan G., et al.
Publicado: (2022)

Super-resolution for asymmetric resolution of FIB-SEM 3D imaging using AI with deep learning
por: Hagita, Katsumi, et al.
Publicado: (2018)

Autoencoder-Inspired Convolutional Network-Based Super-Resolution Method in MRI
Publicado: (2021)

Expandable ELAST for super-resolution imaging of thick tissue slices using a hydrogel containing charged monomers
por: La, Woonggi, et al.
Publicado: (2023)

Extreme Low-Resolution Activity Recognition Using a Super-Resolution-Oriented Generative Adversarial Network
por: Hou, Mingzheng, et al.
Publicado: (2021)

Image super-resolution and applications
por: Abd el-Samie, Fathi E, et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_admtg7eu3bnup19ta4ah9fn031