Retrospective off-respirator respiration gating method of cardiac image sequence
An image sequence and respiratory gating technology, which is applied in the field of medical imaging, can solve the problems of long scanning period, small application range, and affecting the temporal and spatial resolution of images, and achieve the effects of high degree of automation, low application cost, and low computational complexity
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[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] The Laplacian eigenmap algorithm (BelkinM, NiyogiP. Laplacianeigenmapsandspectraltechniquesforembeddingandclustering.NeuralInformationProcessingSystems.2002, 14:585-591.) is a local manifold learning algorithm that discovers low-dimensional flow by maintaining the neighbor relationship between high-dimensional data points shaped structure. 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, define an N×D-dimensional matrix X, and gray the pixels of each frame of image in order from top ...
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