Slice Interpolation in MRI Using a Decomposition-Reconstruction Method
Qinghua Lin, Qin Zhang, Tongbin Li · 2017
The algebraically demanding interpolation needs the signal values to be precise at the interpolate point. But for MRI (Magnetic Resonance Imaging), the intensive values of given scene are for voxel, other than points. So the results of algebraically demanding interpolation are coarse in MRI. Since MRI corresponds to a thin slice through human body, it contains all information in the slice. The proposed algorithm decomposes firstly the information from the pixels in MRI, and then reconstructs them under the rule of organ consistency and exclusive to get higher slice-resolution. Both the theory analysis and experiment results proved the feasibility and effectiveness of the proposed algorithm. Results show that the proposed algorithm outperforms the other interpolation methods, which means that the D-R (Decomposition-reconstruction) method is more suitable for MRI interpolation.