Cargando…

Image Fusion of CT and MR with Sparse Representation in NSST Domain

Multimodal image fusion techniques can integrate the information from different medical images to get an informative image that is more suitable for joint diagnosis, preoperative planning, intraoperative guidance, and interventional treatment. Fusing images of CT and different MR modalities are stud...

Descripción completa

Detalles Bibliográficos
Autores principales:	Qiu, Chenhui, Wang, Yuanyuan, Zhang, Huan, Xia, Shunren
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2017
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5700553/ https://www.ncbi.nlm.nih.gov/pubmed/29250134 http://dx.doi.org/10.1155/2017/9308745

Ejemplares similares

Brain Medical Image Fusion Based on Dual-Branch CNNs in NSST Domain
por: Ding, Zhaisheng, et al.
Publicado: (2020)

Multimodal medical image fusion in NSST domain with structural and spectral features enhancement
por: Khan, Sajid Ullah, et al.
Publicado: (2023)

Multibaseline Interferometric Phase Denoising Based on Kurtosis in the NSST Domain
por: Liu, Yanfang, et al.
Publicado: (2020)

Medical Image Fusion Based on Sparse Representation and PCNN in NSCT Domain
por: Xia, Jingming, et al.
Publicado: (2018)

An Image Fusion Method Based on Sparse Representation and Sum Modified-Laplacian in NSCT Domain
por: Li, Yuanyuan, et al.
Publicado: (2018)

A Method for Medical Microscopic Images’ Sharpness Evaluation Based on NSST and Variance by Combining Time and Frequency Domains
por: Wu, Xuecheng, et al.
Publicado: (2022)

Accelerating Dynamic Cardiac MR Imaging Using Structured Sparse Representation
por: Cai, Nian, et al.
Publicado: (2013)

Medical Image Fusion Based on Feature Extraction and Sparse Representation
por: Fei, Yin, et al.
Publicado: (2017)

An object-based sparse representation model for spatiotemporal image fusion
por: Asefpour Vakilian, Afshin, et al.
Publicado: (2022)

Sparse Representation-Based Multi-Focus Image Fusion Method via Local Energy in Shearlet Domain
por: Li, Liangliang, et al.
Publicado: (2023)

Multi-Modal Medical Image Fusion With Geometric Algebra Based Sparse Representation
por: Li, Yanping, et al.
Publicado: (2022)

Entropy-Based Image Fusion with Joint Sparse Representation and Rolling Guidance Filter
por: Liu, Yudan, et al.
Publicado: (2020)

Super-resolution CT Image Reconstruction Based on Dictionary Learning and Sparse Representation
por: Jiang, Changhui, et al.
Publicado: (2018)

Medical Image Fusion Based on Fast Finite Shearlet Transform and Sparse Representation
por: Tan, Ling, et al.
Publicado: (2019)

The Multi-Focus-Image-Fusion Method Based on Convolutional Neural Network and Sparse Representation
por: Wei, Bingzhe, et al.
Publicado: (2021)

Improving Low-dose Cardiac CT Images based on 3D Sparse Representation
por: Shi, Luyao, et al.
Publicado: (2016)

Sparse representations and compressive sensing for imaging and vision
por: Patel, Vishal M, et al.
Publicado: (2013)

Research of Multimodal Medical Image Fusion Based on Parameter-Adaptive Pulse-Coupled Neural Network and Convolutional Sparse Representation
por: Xia, Jingming, et al.
Publicado: (2020)

Corrigendum: Improving Low-dose Cardiac CT Images based on 3D Sparse Representation
por: Shi, Luyao, et al.
Publicado: (2016)

A Hybrid Sparse Representation Model for Image Restoration
por: Zhou, Caiyue, et al.
Publicado: (2022)

A Domain Adaptation Sparse Representation Classifier for Cross-Domain Electroencephalogram-Based Emotion Classification
por: Ni, Tongguang, et al.
Publicado: (2021)

Application of Sparse Representation in Bioinformatics
por: Han, Shuguang, et al.
Publicado: (2021)

Linear Dynamic Sparse Modelling for functional MR imaging
por: Yan, Shulin, et al.
Publicado: (2014)

A Robust Sparse Representation Model for Hyperspectral Image Classification †
por: Huang, Shaoguang, et al.
Publicado: (2017)

A multimodal fusion method for Alzheimer’s disease based on DCT convolutional sparse representation
por: Zhang, Guo, et al.
Publicado: (2023)

Sparse time-frequency representations
por: Gardner, Timothy J., et al.
Publicado: (2006)

Multiple Sparse Representations Classification
por: Plenge, Esben, et al.
Publicado: (2015)

Change detection based on unsupervised sparse representation for fundus image pair
por: Fu, Yinghua, et al.
Publicado: (2022)

Spectral Domain Sparse Representation for DOA Estimation of Signals with Large Dynamic Range
por: Compaleo, Jacob, et al.
Publicado: (2021)

Fourier ptychographic microscopy with sparse representation
por: Zhang, Yongbing, et al.
Publicado: (2017)

Super-resolution of X-ray CT images of rock samples by sparse representation: applications to the complex texture of serpentinite
por: Omori, Toshiaki, et al.
Publicado: (2023)

Enhancing sparse representation of color images by cross channel transformation
por: Rebollo-Neira, Laura, et al.
Publicado: (2023)

Image Target Recognition via Mixed Feature-Based Joint Sparse Representation
por: Wang, Xin, et al.
Publicado: (2020)

Stochastic Recursive Gradient Support Pursuit and Its Sparse Representation Applications
por: Shang, Fanhua, et al.
Publicado: (2020)

Categorizing biomedicine images using novel image features and sparse coding representation
por: Sheng, Jianqiang, et al.
Publicado: (2013)

Correction: Multiple Sparse Representations Classification
por: Plenge, Esben, et al.
Publicado: (2015)

Image decomposition via the combination of sparse representations and a variational approach
por: Starck, J L, et al.
Publicado: (2004)

Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing
por: Elad, Michael
Publicado: (2010)

Noise reduction of diffusion tensor images by sparse representation and dictionary learning
por: Kong, Youyong, et al.
Publicado: (2016)

Sidelobe Suppression with Resolution Maintenance for SAR Images via Sparse Representation
por: Zhu, Xiaoxiang, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_7qbpgugughkq30i09531563r15