[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Wang et al., 2021 - Google Patents

A review on medical imaging synthesis using deep learning and its clinical applications

Wang et al., 2021

View PDF @Full View
Document ID
15441695928760038188
Author
Wang T
Lei Y
Fu Y
Wynne J
Curran W
Liu T
Yang X
Publication year
Publication venue
Journal of applied clinical medical physics

External Links

Snippet

This paper reviewed the deep learning‐based studies for medical imaging synthesis and its clinical application. Specifically, we summarized the recent developments of deep learning‐ based methods in inter‐and intra‐modality image synthesis by listing and highlighting the …
Continue reading at aapm.onlinelibrary.wiley.com (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10084Hybrid tomography; Concurrent acquisition with multiple different tomographic modalities
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10104Positron emission tomography [PET]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10088Magnetic resonance imaging [MRI]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R33/00Arrangements or instruments for measuring magnetic variables
    • G01R33/20Arrangements or instruments for measuring magnetic variables involving magnetic resonance
    • G01R33/44Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
    • G01R33/48NMR imaging systems
    • G01R33/54Signal processing systems, e.g. using pulse sequences, Generation or control of pulse sequences ; Operator Console
    • G01R33/56Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • G06T11/003Reconstruction from projections, e.g. tomography
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2211/00Image generation

Similar Documents

Publication Publication Date Title
Wang et al. A review on medical imaging synthesis using deep learning and its clinical applications
Boulanger et al. Deep learning methods to generate synthetic CT from MRI in radiotherapy: A literature review
Chen et al. Fully automated multiorgan segmentation in abdominal magnetic resonance imaging with deep neural networks
Fu et al. Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging
Florkow et al. Deep learning–based MR‐to‐CT synthesis: the influence of varying gradient echo–based MR images as input channels
Lei et al. MRI‐only based synthetic CT generation using dense cycle consistent generative adversarial networks
Dinkla et al. Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch‐based three‐dimensional convolutional neural network
Dai et al. Multimodal MRI synthesis using unified generative adversarial networks
Largent et al. Comparison of deep learning-based and patch-based methods for pseudo-CT generation in MRI-based prostate dose planning
Emami et al. Generating synthetic CTs from magnetic resonance images using generative adversarial networks
Bahrami et al. Comparison of different deep learning architectures for synthetic CT generation from MR images
Liu et al. Artificial intelligence-based image enhancement in pet imaging: Noise reduction and resolution enhancement
Han MR‐based synthetic CT generation using a deep convolutional neural network method
Liu SUSAN: segment unannotated image structure using adversarial network
Fard et al. From CNNs to GANs for cross-modality medical image estimation
Romaguera et al. Prediction of in-plane organ deformation during free-breathing radiotherapy via discriminative spatial transformer networks
Romaguera et al. Probabilistic 4D predictive model from in-room surrogates using conditional generative networks for image-guided radiotherapy
Wang et al. Medical imaging synthesis using deep learning and its clinical applications: A review
Mecheter et al. MR image-based attenuation correction of brain PET imaging: review of literature on machine learning approaches for segmentation
Chen et al. Deep learning based unpaired image-to-image translation applications for medical physics: a systematic review
Touati et al. A feature invariant generative adversarial network for head and neck MRI/CT image synthesis
Mecheter et al. Deep learning with multiresolution handcrafted features for brain MRI segmentation
Amirkolaee et al. Development of a GAN architecture based on integrating global and local information for paired and unpaired medical image translation
Gurney-Champion et al. Potential of deep learning in quantitative magnetic resonance imaging for personalized radiotherapy
Sherwani et al. A systematic literature review: deep learning techniques for synthetic medical image generation and their applications in radiotherapy