Research on cellular and molecular biomechanics-inspired enhancement of visual communication in medical product design via graphic processing algorithm optimization
Abstract
The computational complexity of graphic processing algorithms is increasing under the continuous development of information technology. At the same time, the medical product design field puts forward higher and higher requirements on the visual communication effect of related images. In this study, the up-sampling optimization algorithm and the threshold filtering algorithm are proposed to optimize the Laplacian graphics processing algorithm. Notably, in the threshold filtering algorithm, the Triangle algorithm is employed to address the grayscale of images pertinent to medical product design. The perception of the grayscale and binarized images by the human visual system triggers neural signals that propagate and can influence intracellular processes. When observing medical product images, neurons fire, leading to the release of neurotransmitters like glutamate. These neurotransmitters bind to receptors on cells, initiating signaling cascades such as the MAPK pathway. This pathway can affect gene expression and protein synthesis, potentially modulating cellular functions related to perception and response to the medical product design. The results show that the optimized graphical processing algorithms in this paper outperform the comparison algorithms in the CLBLAS library, and the floating-point computational values of the Laplacian algorithm are much higher than the comparison algorithms in the face of the large-scale input parameters. The Laplacian algorithm is able to accurately stitch and process the captured 2D images of cellular microtubules related to the design of the medical products in a guaranteed high efficiency (31 min), and The Laplacian algorithm was able to achieve an average subjective score of 0.856 for the visual communication of medical product design images. This graphic processing algorithm can generate images of superior perceptual quality, which holds substantial significance for augmenting the visual communication effect of medical product design images and considering the underlying cellular molecular biomechanical responses.
References
1. Mang, B., Oh, Y., Bonilla, C., & Orth, J. (2023). A medical equipment lifecycle framework to improve healthcare policy and sustainability. Challenges, 14(2), 21.
2. Hennein, R., Goddard, E., & Sherman, J. D. (2022). Stakeholder perspectives on scaling up medical device reprocessing: A qualitative study. Plos one, 17(12), e0279808.
3. Elabed, S., Belal, A., & Shamayleh, A. (2019, October). Sustainability of medical equipment in the healthcare industry: An overview. In 2019 Fifth International Conference on Advances in Biomedical Engineering (ICABME) (pp. 1-4). IEEE.
4. Chen, J., Mo, R., Wu, L., & Yu, S. (2016, August). A method of collaborative task allocation for cloud service platform of industrial design. In 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) (Vol. 1, pp. 484-487). IEEE.
5. Arefin, A. M., Khatri, N. R., Kulkarni, N., & Egan, P. F. (2021). Polymer 3D printing review: Materials, process, and design strategies for medical applications. Polymers, 13(9), 1499.
6. Lo, H. W., Gul, M., Yucesan, M., & Liaw, C. F. (2024). A risk assessment model with dependent failure modes for the manufacturing and design processes of medical equipment. International Journal on Interactive Design and Manufacturing (IJIDeM), 1-16.
7. Javaid, M., & Haleem, A. (2018). Additive manufacturing applications in medical cases: A literature based review. Alexandria Journal of Medicine, 54(4), 411-422.
8. Zhang, J., Hu, Q., Wang, S., Tao, J., & Gou, M. (2019). Digital light processing based three-dimensional printing for medical applications. International journal of bioprinting, 6(1), 242.
9. Zhang, Z., & Rao, W. (2021). Key risks and development strategies for china’s high-end medical equipment innovations. Risk Management and Healthcare Policy, 3037-3056.
10. Bouget, D., Allan, M., Stoyanov, D., & Jannin, P. (2017). Vision-based and marker-less surgical tool detection and tracking: a review of the literature. Medical image analysis, 35, 633-654.
11. Sastri, V. R. (2021). Plastics in medical devices: properties, requirements, and applications. William Andrew.
12. Laursen, J., Danielsen, A., & Rosenberg, J. (2014). Effects of environmental design on patient outcome: a systematic review. HERD: Health Environments Research & Design Journal, 7(4), 108-119.
13. Calori, C., & Vanden-Eynden, D. (2015). Signage and wayfinding design: a complete guide to creating environmental graphic design systems. John Wiley & Sons.
14. Pati, D., Harvey Jr, T. E., Willis, D. A., & Pati, S. (2015). Identifying elements of the health care environment that contribute to wayfinding. HERD: Health Environments Research & Design Journal, 8(3), 44-67.
15. Goyanes, A., Madla, C. M., Umerji, A., Piñeiro, G. D., Montero, J. M. G., Diaz, M. J. L., ... & Basit, A. W. (2019). Automated therapy preparation of isoleucine formulations using 3D printing for the treatment of MSUD: First single-centre, prospective, crossover study in patients. International Journal of Pharmaceutics, 567, 118497.
16. Kellert, S., & Calabrese, E. (2015). The practice of biophilic design. London: Terrapin Bright LLC, 3(21).
17. Javaid, M., & Haleem, A. (2019). Industry 4.0 applications in medical field: A brief review. Current Medicine Research and Practice, 9(3), 102-109.
18. Berg, L. P., & Vance, J. M. (2017). Industry use of virtual reality in product design and manufacturing: a survey. Virtual reality, 21, 1-17.
19. Guantao Chen & Fernando C. Tura. (2024). A linear algorithm for obtaining the Laplacian eigenvalues of a cograph. Special Matrices(1).
20. Ruikai Xin,Jiarui Lin,Shendong Shi,Rao Zhang,Jianlong Zhang & Jigui Zhu. (2024). Research on dual-threshold detection based adaptive fault-tolerant kalman filtering algorithm for dynamic 6-DOF measurement. Mechanical Systems and Signal Processing111190-.
21. Yun JIANG,Huiyang LIU,Xiaopeng JIAO,Ji WANG & Qiaoqiao XIA. (2024). Triangle Projection Algorithm in ADMM-LP Decoding of LDPC Codes:Regular Section. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences(8),1364-1368.
22. Fei Tang. (2018). Application of vector graphics binaryzation and refining treatment in two-dimensional animation modeling. Journal of Discrete Mathematical Sciences and Cryptography(5),1167-1175.
Copyright (c) 2025 Author(s)
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright on all articles published in this journal is retained by the author(s), while the author(s) grant the publisher as the original publisher to publish the article.
Articles published in this journal are licensed under a Creative Commons Attribution 4.0 International, which means they can be shared, adapted and distributed provided that the original published version is cited.
Submit a Paper
