Author Affiliations
1School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, Guangdong 510006, China2Exemplary Center for Experiment Teaching of Basic Courses in Physics, South China Normal University, Guangzhou, Guangdong 510006, Chinashow less
Fig. 1. Algorithm flow diagram
Fig. 2. Rotating nuclear templates with different rotation angles. (a) 45°; (b) 30°; (c) 15°; (d) 0°; (e) 165°; (f) 150°; (g) 135°; (h) 120°; (i) 105°; (j) 90°; (k) 75°; (l) 60°
Fig. 3. Filter templates in horizontal direction under different rotation angles. (a) 135°; (b) 90°; (c) 45°; (d) retain center of rotation
Fig. 4. Filter templates in vertical direction under different rotation angles. (a) 135°; (b) 0°; (c) 45°; (d) retain center of rotation
Fig. 5. Filter templates in diagonal direction under different rotation angles. (a) 0°; (b) 90°
Fig. 6. Decomposition and reconstruction process of secondary algorithm. (a) Original intracranial cortical blood vessel PT-OCT cross-sectional image; (b) PT-OCT cross-sectional image processed by proposed algorithm; (c) image after first-level wavelet decomposition; (d) after second-level wavelet decomposition image; (e) enhanced secondary low-frequency image; (f) filtered secondary horizontal detail image; (g) filtered secondary vertical detail image; (h) filtered secondary diagonal detail image; (i)
Fig. 7. Comparison of filtering results of 89th frame and 106th frame OCT cross-sectional images by different algorithms. (a) Effect of traditional RKT algorithm after processing 89th frame; (b) effect of improved RKT algorithm after processing 89th frame; (c) effect of traditional RKT algorithm after processing 106th frame; (d) effect of improved RKT algorithm after processing 106th frame
Fig. 8. PT-OCT 3D image and its side view processed by different algorithms. (a) Unprocessed image; (b) traditional RKT algorithm; (c) improved RKT algorithm; (d) side view of Fig. (a); (e) side view of Fig. (b); (f) side view of Fig. (c)
Fig. 9. Tomography images at different imaging depths. (a) 1.16mm; (b) 1.35mm; (c) 1.46mm; (d) 1.57mm; (e) 1.66mm; (f) 1.90mm; (g) 2.07mm
Fig. 10. Parameter curves of filtered tomographic images at different depths. (a) RMSE; (b) PSNR
Image | Denoising algorithm | RRMSE | PPSNR/dB |
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89th frame | Traditional RKT | 18.1855 | 35.5335 | Improved RKT | 34.8919 | 32.7036 | 106th frame | Traditional RKT | 10.2712 | 38.0146 | Improved RKT | 19.9354 | 35.1345 |
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Table 1. Comparison of objective parameters of different algorithms on OCT intracranial cortical blood vessel images