Researching | PCNN Medical Image Fusion Based on NSCT and DWT

Laser & Optoelectronics Progress, Volume. 58, Issue 20, 2017002(2021)

PCNN Medical Image Fusion Based on NSCT and DWT

He Zhao, Jinxiu Zhang^*, and Zhenggang Zhang

Author Affiliations

School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China

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Figures&Tables (13)

References (29)

Paper Information

Figures & Tables(13)

Fig. 1. Decomposition process of NSCT

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Fig. 2. Flow chart of the proposed algorithm

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Fig. 3. Simplified model of neuron in PCNN

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Fig. 4. Framework chart of low frequency subband component fusion

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Fig. 5. CT/MRI source images and image fusion results by different algorithms

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Fig. 6. Flow chart of MRI/PET image fusion

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Fig. 7. MRI/PET source images and image fusion results by different algorithms

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Table 1. Evaluation indicators for the first group of images
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Table 1. Evaluation indicators for the first group of images
Method IE AG SF SD
Algorithm 1 6.5498 6.8525 16.5593 58.6421
Algorithm 2 6.3269 6.4023 16.8470 50.7436
Algorithm 3 5.8516 4.7560 9.4149 43.6581
Proposed algorithm 6.8415 7.2316 17.1296 57.6361

Table 2. Evaluation indicators for the second group of images
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Table 2. Evaluation indicators for the second group of images
Method IE AG SF SD
Algorithm 1 4.7202 9.9061 30.8452 84.4055
Algorithm 2 4.6470 9.3234 32.1094 85.0626
Algorithm 3 4.3131 7.2921 27.3694 63.1978
Proposed algorithm 5.0302 10.1685 31.4722 87.0621

Table 3. Evaluation indicators for the third group of images
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Table 3. Evaluation indicators for the third group of images
Method IE AG SF SD
Algorithm 1 4.9044 7.5525 27.5704 82.8691
Algorithm 2 4.5208 8.2945 27.8275 80.7933
Algorithm 3 4.0943 5.2739 25.4892 77.2424
Proposed algorithm 5.1142 9.4119 30.4588 85.5517

Table 4. Evaluation indicators for the fourth group of images
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Table 4. Evaluation indicators for the fourth group of images
Method IE AG SF SD
Algorithm 1 4.5860 10.3529 30.2666 81.3725
Algorithm 2 4.5837 7.8718 26.1864 85.1571
Algorithm 3 4.4134 6.4476 17.8729 69.2850
Proposed algorithm 4.8187 10.3768 31.3671 87.9695

Table 5. Evaluation indicators for the fifth group of images
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Table 5. Evaluation indicators for the fifth group of images
Method IE AG SF SD
Algorithm 1 4.8232 7.4481 24.3951 78.2887
Algorithm 2 4.6965 6.6857 22.8195 68.1525
Algorithm 3 4.5910 4.8094 18.8472 73.4640
Proposed algorithm 5.3986 8.1815 21.1684 79.0407

Table 6. Evaluation indicators for the sixth group of images
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Table 6. Evaluation indicators for the sixth group of images
Method IE AG SF SD
Algorithm 1 4.2714 8.9279 28.3091 68.3905
Algorithm 3 4.2399 6.3729 22.7939 71.8809
Algorithm 3 4.0271 5.5916 16.2866 53.8390
Proposed algorithm 4.4342 9.0242 26.7969 75.2246

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He Zhao, Jinxiu Zhang, Zhenggang Zhang. PCNN Medical Image Fusion Based on NSCT and DWT[J]. Laser & Optoelectronics Progress, 2021, 58(20): 2017002

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Paper Information

Category: Medical Optics and Biotechnology

Received: Dec. 21, 2020

Accepted: Jan. 20, 2021

Published Online: Oct. 15, 2021

The Author Email: Zhang Jinxiu (2459731516@qq.com)

DOI:10.3788/LOP202158.2017002

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology