CT MRI SPINE IMAGE FUSION USING GRAPH CUTS
Image fusion of the spine, which preserves the bone structures and soft tissue detail in a single image. Spine image fusion has the potential to enable more effective and efficient evaluations of spine disorders, more so as the number of spine scans increases very rapidly. This Matlab design is based on image fusion as a discrete multilabel optimization problem, which can be solved efficiently with graph cuts, via the well-known swap or alpha expansion moves. The energy function balances the contributions of three competing terms:
(1) A squared error, which encourages the solution to be like the MR input, with preference to strong MR edges.
(2) A squared error, which encourages the solution to be like the CT input, with preference to strong CT edges.
(3) A prior, favouring smooth solutions by encouraging neighbouring pixels to have similar fused-image values.
By introducing a transparency-labelling formulation, which significantly reduces the computational load. The graph-cut fusion guarantees nearly global solutions, while avoiding the pixelation artifacts that affect standard wavelet-based methods.
REFERENCES
Reference Paper-1: Spine Image Fusion via Graph Cuts
Author’s Name: Brandon Miles, Ismail Ben Ayed, Max W. K. Law, Greg Garvin, Aaron Fenster, and Shuo Li
Source: IEEE
Year: 2013
You can DOWNLOAD the Matlab code to execute the design.
SIMULATION VIDEO DEMO
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