Abstract
Although the traditional volume rendering ray casting algorithm has become one of the mainstream methods of medical image three-dimensional (3D) reconstruction, the 3D image quality and rendering speed still can not meet the requirements of high-definition and real-time in clinical medical diagnosis. In this paper, a fusion ray casting algorithm is proposed, which uses the improved resampling interpolation algorithm and the improved bounding box algorithm to improve the image rendering speed, and the improved data synthesis of sampling points is used to improve image quality in ray casting algorithm. The experimental results show that the method proposed in this paper can not only improve the speed of reconstruction, but also greatly improve the image quality of 3D reconstruction.
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Acknowledgments
This work is supported by Joint Project of Beijing Natural Science Foundation and Beijing Municipal Education Commission (No. KZ202110011015) and Beijing Technology and Business University graduate research capacity improvement plan project funding in 2022.
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The authors declare that there are no conflicts of interest regarding the publication of this paper.
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Yu, W., Ning, G. (2022). 3D Reconstruction of Medical Image Based on Improved Ray Casting Algorithm. In: El Yacoubi, M., Granger, E., Yuen, P.C., Pal, U., Vincent, N. (eds) Pattern Recognition and Artificial Intelligence. ICPRAI 2022. Lecture Notes in Computer Science, vol 13363. Springer, Cham. https://doi.org/10.1007/978-3-031-09037-0_38
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DOI: https://doi.org/10.1007/978-3-031-09037-0_38
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