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Cinematic volume rendering algorithm based on multiple lights photon mapping

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Abstract

Cinematic volume rendering, which can obtain highly realistic rendering results, is considered to be the next-generation volume rendering technology. Cinematic volume rendering generally uses ray tracing algorithms to build a global illumination model for rendering. In the rendering process, the convergence speed of ray tracing is slow, and the physically-based global illumination model is computationally expensive. Moreover, when the rendered sampling interval is not very large, there are problems such as random noise in the rendered image. This paper proposes a Cinematic volume rendering algorithm based on photon mapping. Using the illumination model defined by the algorithm, the rendering quality can be guaranteed, and there is no random noise. The algorithm can support multi-light illumination while under the influence of multiple lights. It can effectively enhance the depth and shape of the region of interest perception. We have implemented a fast photon mapping system for medical imaging. We test the algorithm under GPU, the multi-light rendering results are realistic, and the interaction reaches the level of interactive frames.

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Data Availability

Visible Human Project data in the manuscript can be found at:(https://medicine.uiowa.edu/mri/facility-resources/images/visible-human-project-ct-datasets). All other data are available from the authors upon reasonable request.

References

  1. Avro J, Kirk D (1990) Particle transport and image synthesis computer graphics. In: SIGGRAPH’90: Proceedings of 17th conference on computer graphics and interactive techniques, pp 63–66. https://doi.org/10.1145/97879.97886

  2. Christensen P (2008) Point-based approximate color bleeding. Pixar Tech Notes 2(5):6

    Google Scholar 

  3. Comaniciu D, Engel K, Georgescu B, Mansi T (2016) Shaping the future through innovations: from medical imaging to precision medicine. Elsevier. https://doi.org/10.1016/j.media.2016.06.016

  4. Dappa E, Higashigaito K, Fornaro J, Leschka S, Wildermuth S, Alkadhi H (2016) Cinematic rendering–an alternative to volume rendering for 3d computed tomography imaging. Insights Imaging 7(6):849–856. https://doi.org/10.1007/s13244-016-0518-1

    Article  Google Scholar 

  5. Drebin RA, Carpenter L, Hanrahan P (1988) Volume rendering. ACM Siggraph Comput Graph 22(4):65–74. https://doi.org/10.1145/378456.378484

    Article  Google Scholar 

  6. Hachisuka T, Ogaki S, Jensen HW (2008) Progressive photon mapping. In: ACM SIGGRAPH Asia 2008 papers, pp 1–8. https://doi.org/10.1145/1457515.1409083

  7. Iglesias-Guitian JA, Mane PS, Moon B (2020) Real-time denoising of volumetric path tracing for direct volume rendering. IEEE Trans Vis Comput Graph:2734–2747. https://doi.org/10.1109/TVCG.2020.3037680

  8. Jensen HW (1995) Importance driven path tracing using the photon map. In: Eurographics workshop on rendering techniques. Springer, pp 326–335. https://doi.org/10.1007/978-3-7091-9430-0_31

  9. Khalil A, Faisal A, Ng S-C, Liew YM, Lai KW (2017) Mitral valve rigid registration using 2d echocardiography and cardiac computed tomography. In: 2017 International conference on applied system innovation (ICASI). IEEE, pp 629–632. https://doi.org/10.1109/ICASI.2017.7988504

  10. Kroes T, Post FH, Botha CP (2012) Exposure render: an interactive photo-realistic volume rendering framework. PloS one 7(7):38586. https://doi.org/10.1371/journal.pone.0038586

    Article  Google Scholar 

  11. Kwon K, Lee B-J, Shin B-S (2020) Reliable subsurface scattering for volume rendering in three-dimensional ultrasound imaging. Comput Biol Med 117:103608. https://doi.org/10.1016/j.compbiomed.2020.103608

    Article  Google Scholar 

  12. Lafortune EP, Willems YD (1993) Bi-directional path tracing. https://doi.org/10.1007/978-4-431-68057-4_21

  13. Mukunoki D, Takahashi D (2013) Using quadruple precision arithmetic to accelerate krylov subspace methods on gpus. In: International conference on parallel processing and applied mathematics. Springer, pp 632–642. https://doi.org/10.1007/978-3-642-55224-3_59

  14. Salama CR (2007) Gpu-based monte-carlo volume raycasting. In: 15th Pacific conference on computer graphics and applications (PG’07). IEEE, pp 411–414. https://doi.org/10.1109/PG.2007.27

  15. Veach E, Guibas L (1995) Bidirectional estimators for light transport. In: Photorealistic Rendering Techniques. Springer, pp 145–167. https://doi.org/10.1007/978-3-642-87825-1_11

  16. Zhang Y, Ma K-L (2013) Lighting design for globally illuminated volume rendering. IEEE Trans Vis Comput Graph 19(12):2946–2955. https://doi.org/10.1109/TVCG.2013.172

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, People’s Republic of China

    Yuliang Yuan, JinZhu Yang, Qi Sun, Yan Huang & Shuang Ma

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  1. Yuliang Yuan
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  2. JinZhu Yang
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  3. Qi Sun
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  4. Yan Huang
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Correspondence to JinZhu Yang.

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Yuan, Y., Yang, J., Sun, Q. et al. Cinematic volume rendering algorithm based on multiple lights photon mapping. Multimed Tools Appl 83, 5799–5812 (2024). https://doi.org/10.1007/s11042-023-15075-9

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