Cargando…

Reference-Driven Compressed Sensing MR Image Reconstruction Using Deep Convolutional Neural Networks without Pre-Training

Deep learning has proven itself to be able to reduce the scanning time of Magnetic Resonance Imaging (MRI) and to improve the image reconstruction quality since it was introduced into Compressed Sensing MRI (CS-MRI). However, the requirement of using large, high-quality, and patient-based datasets f...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhao, Di, Zhao, Feng, Gan, Yongjin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6982784/ https://www.ncbi.nlm.nih.gov/pubmed/31935887 http://dx.doi.org/10.3390/s20010308

Ejemplares similares

Reference-Driven Undersampled MR Image Reconstruction Using Wavelet Sparsity-Constrained Deep Image Prior
por: Zhao, Di, et al.
Publicado: (2021)

Compressed Sensing MR Image Reconstruction Exploiting TGV and Wavelet Sparsity
por: Zhao, Di, et al.
Publicado: (2014)

Reconstruction of Compressed-sensing MR Imaging Using Deep Residual Learning in the Image Domain
por: Ouchi, Shohei, et al.
Publicado: (2020)

A Hybrid Residual Attention Convolutional Neural Network for Compressed Sensing Magnetic Resonance Image Reconstruction
por: Hossain, Md. Biddut, et al.
Publicado: (2023)

Compressive Sensing Spectroscopy Using a Residual Convolutional Neural Network
por: Kim, Cheolsun, et al.
Publicado: (2020)

Iris Image Compression Using Deep Convolutional Neural Networks
por: Jalilian, Ehsaneddin, et al.
Publicado: (2022)

Deep learning–based acceleration of Compressed Sense MR imaging of the ankle
por: Foreman, Sarah C., et al.
Publicado: (2022)

Classification of Compressed Remote Sensing Multispectral Images via Convolutional Neural Networks
por: Giannopoulos, Michalis, et al.
Publicado: (2020)

Deep Sensing: Inertial and Ambient Sensing for Activity Context Recognition Using Deep Convolutional Neural Networks
por: Otebolaku, Abayomi, et al.
Publicado: (2020)

Automated segmentation of craniopharyngioma on MR images using U-Net-based deep convolutional neural network
por: Chen, Chaoyue, et al.
Publicado: (2022)

Image-driven classification of functioning and nonfunctioning pituitary adenoma by deep convolutional neural networks
por: Li, Hongyu, et al.
Publicado: (2021)

Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks
por: Deniz, Cem M., et al.
Publicado: (2018)

Cartesian MR fingerprinting in the eye at 7T using compressed sensing and matrix completion‐based reconstructions
por: Koolstra, Kirsten, et al.
Publicado: (2018)

Progressive compressive sensing of large images with multiscale deep learning reconstruction
por: Kravets, Vladislav, et al.
Publicado: (2022)

Potential of compressed sensing in quantitative MR imaging of cancer
por: Smith, David S., et al.
Publicado: (2013)

Hyperspectral Image Classification with Optimized Compressed Synergic Deep Convolution Neural Network with Aquila Optimization
por: Subba Reddy, Tatireddy, et al.
Publicado: (2022)

Impact of the Number of Iterations in Compressed Sensing Reconstruction on Ultrafast Dynamic Contrast-enhanced Breast MR Imaging
por: Sagawa, Hajime, et al.
Publicado: (2018)

Correlated MR spectroscopic imaging of breast cancer to investigate metabolites and lipids: acceleration and compressed sensing reconstruction
por: Joy, Ajin, et al.
Publicado: (2022)

Fusion of Deep Convolutional Neural Networks for No-Reference Magnetic Resonance Image Quality Assessment
por: Stępień, Igor, et al.
Publicado: (2021)

DeepCAPE: A Deep Convolutional Neural Network for the Accurate Prediction of Enhancers
por: Chen, Shengquan, et al.
Publicado: (2021)

Structural Compression of Convolutional Neural Networks with Applications in Interpretability
por: Abbasi-Asl, Reza, et al.
Publicado: (2021)

RefRGim: an intelligent reference panel reconstruction method for genotype imputation with convolutional neural networks
por: Shi, Shuo, et al.
Publicado: (2021)

Deep learning‐based reconstruction of in vivo pelvis conductivity with a 3D patch‐based convolutional neural network trained on simulated MR data
por: Gavazzi, Soraya, et al.
Publicado: (2020)

Deep Learning Convolutional Neural Network Reconstruction and Radial k-Space Acquisition MR Technique for Enhanced Detection of Retropatellar Cartilage Lesions of the Knee Joint
por: Kaniewska, Malwina, et al.
Publicado: (2023)

Towards Convolutional Neural Network Acceleration and Compression Based on Simon k-Means
por: Wei, Mingjie, et al.
Publicado: (2022)

Gas Classification Using Deep Convolutional Neural Networks
por: Peng, Pai, et al.
Publicado: (2018)

Deep Convolutional Neural Network Used in Single Sample per Person Face Recognition
por: Zeng, Junying, et al.
Publicado: (2018)

The Influence of Data-Driven Compressed Sensing Reconstruction on Quantitative Pharmacokinetic Analysis in Breast DCE MRI
por: Wang, Ping Ni, et al.
Publicado: (2022)

Breast cancer detection: Shallow convolutional neural network against deep convolutional neural networks based approach
por: Das, Himanish Shekhar, et al.
Publicado: (2023)

Accelerated Diffusion-Weighted MR Image Reconstruction Using Deep Neural Networks
por: Aamir, Fariha, et al.
Publicado: (2022)

Image Sensing and Processing with Convolutional Neural Networks
por: Coleman, Sonya, et al.
Publicado: (2022)

Reconstructing high fidelity digital rock images using deep convolutional neural networks
por: Bizhani, Majid, et al.
Publicado: (2022)

Pre-trained Deep Convolution Neural Network Model With Attention for Speech Emotion Recognition
por: Zhang, Hua, et al.
Publicado: (2021)

Sensor Data-Driven Bearing Fault Diagnosis Based on Deep Convolutional Neural Networks and S-Transform
por: Li, Guoqiang, et al.
Publicado: (2019)

Recognition of Abnormal Chest Compression Depth Using One-Dimensional Convolutional Neural Networks
por: Zhao, Liang, et al.
Publicado: (2021)

Deep Sensing for Compressive Video Acquisition †
por: Yoshida, Michitaka, et al.
Publicado: (2023)

Improving deep convolutional neural networks with mixed maxout units
por: Zhao, Hui-zhen, et al.
Publicado: (2017)

Deep convolutional neural network-based detection of meniscus tears: comparison with radiologists and surgery as standard of reference
por: Fritz, Benjamin, et al.
Publicado: (2020)

Data-driven emergence of convolutional structure in neural networks
por: Ingrosso, Alessandro, et al.
Publicado: (2022)

Accelerating cine-MR Imaging in Mouse Hearts Using Compressed Sensing
por: Wech, Tobias, et al.
Publicado: (2011)

Cannot write session to /tmp/vufind_sessions/sess_i3shppdo4hc3ku7di5c3e0vn3i