A Retrospective Offline Respiratory Gating Method for Cardiac Image Sequences
An image sequence and respiratory gating technology, applied in the field of medical imaging, can solve the problems of long scanning period, complicated operation, affecting the temporal and spatial resolution of images, etc., and achieve the effect of low application cost, high degree of automation, and low computational complexity.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0043] Attached below figure 1 Describe in detail the steps of the inventive method:
[0044] Step 1. Using the Laplacian eigenmap method to perform dimensionality reduction on the matrix describing the cardiac image sequence:
[0045] Laplacian eigenmap algorithm (Belkin M, Niyogi P. Laplacian eigenmaps and spectral techniques for embedding and clustering. Neural Information Processing Systems. 2002, 14:585-591.) is a local manifold learning algorithm, by maintaining high-dimensional Neighbor relationships among data points are used to discover low-dimensional manifold structures. The specific method is as follows:
[0046] First, a two-dimensional matrix is used to represent the gray values of all pixels in the image sequence, and the specific steps are as follows:
[0047] Assuming that the image sequence includes N frames of images, each frame of image is composed of D=M×M pixels, and an N×D-dimensional matrix X is defined, and the pixels of each frame of image are ...
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