Arterial spin labeling image synthesis method based on generative adversarial hybrid model network
A technology of arterial spin labeling and mixed models, applied in the field of computer vision, can solve the problems of scarcity of arterial spin labeling image data sets, in-depth research on arterial spin labeling technology is hindered, and arterial spin labeling image data sets have not yet been released. , to achieve the effect of alleviating unstable training, clear details and contours, and small voxel differences
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0036] Below in conjunction with accompanying drawing, the present invention will be further described.
[0037] The structure of the generative adversarial hybrid model network used to synthesize arterial spin-labeled images in the present invention is as follows: figure 1 As shown, the area inside the dotted line is the autoencoder, and the area inside the solid line is the generative adversarial mixture model network. First, preprocessed structural MRI images are fed into the encoder. Second, the reparameterized public eigenvectors are input into the decoder to synthesize arterial spin-labeled images. Finally, the synthesized arterial spin-labeled image and the real arterial spin-labeled image are fed into the discriminator. This process can be expressed as:
[0038] Z~Encoder(X)=p(Z|X), Y′~Decoder(Z)=q(Y|Z)
[0039] Among them, X is the structural MRI data, Z is the common eigenvector of the structural NMR data and the arterial spin-labeled data, Y is the real arterial...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com