Abstract
Recently, there is a strong need for the fused visualization of different objects in many simulation fields, especially for the medical domain (e.g., the fusion of different organs). That is because it is desirable and advantageous to show the different objects and analyze the relationship between them. Nevertheless, such a simulation date is always resulted in a large-scale time-varying volume data, which make the fused visualization even more difficult. To solve this problem, we use a sorting-free rendering technique, Adaptive Particle-based Rendering (APBR), to visualize the large-scale time-varying volume data. Because this method visualizes the volume data by generating opaque particles from the original volume data and projects these particles to the image plane, the visibility sorting is not needed. This makes the fusion of different objects and handling of large-scale volume data is very easy. Moreover, our proposed APBR method can adaptively apply different particle generation process to visualize the volume data based on different viewpoints. This feature can make our system keep an interactive frame rate and also a relatively high image quality. With the APBR, we also develop a time-varying rendering into our system so that the rendering for the large-scale time-varying data also becomes possible. To verify the efficiency, we apply our APBR system to the large-scale blood flow dataset. The experimental results and the user feedbacks show that our system can fuse different objects efficiently while keeping an interactive frame rate and a good image quality, which is very meaningful in the visual analysis.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kawamura, T., Sakamoto, N., Koyamada, K.: A Level-of-Detail Rendering of a Large-Scale Irregular Volume Dataset Using Particles. Journal of Computer Science and Technology 25(5), 905–915 (2010)
Sabella, P.: A Rendering Algorithm for Visualizing 3D Scalar Field. Computer Graphics 22(4), 51–58 (1988)
Sakamoto, N., Kawamura, T., Kuwano, H., Koyamada, K.: Sorting-free Pre-Intergrated Projected Tetrahedra. In: Proceedings of the 2009 Workshop on Ultrascale Visualization (UltraVis 2009), pp. 11–18 (2009)
Sugiyama, K., Kawashima, Y., Noda, S., Ii, S., Koyama, H., Takagi, S., Matsumoto, Y., Himeno, R.: Massively parallel computing of novel fluid-structure interaction solver on the K computer. In: Proc. of High Performance Computing Symposium 2013, Tokyo, Japan, IPSJ-HPCS2013050 (January 2013)
Baum, K.G., Helguera, M., Krol, A.: Fusion Viewer: A New Tool for Fusion and Visualization of Multimodal Medical Data Sets. J. Digit Imaging. 21(suppl. 1), 59–68 (2008)
Prckovska, V., Peeters, T.H.J.M., Van Almsick, M., ter Haar Romeny, B., Vilanova i Bartroli, A.: Fused DTI/HARDI Visualization. IEEE Transactions on Visualization and Computer Graphics 17(10), 1407–1419 (2011)
Knoll, A., Hijazi, Y., Westerteiger, R., Schott, M., Hansen, C., Hagen, H.: Volume Ray Casting with Peak Finding and Differential Sampling. IEEE Transactions on Visualization and Computer Graphics 15(6), 1571–1588 (2009)
Marroquim, R., Maximo, A., Farias, R., Esperança, C.: Volume and Isosurface Rendering with GPU-Accelerated Cell Projection. Computer Graphics Forum 27(1), 24–35 (2008)
Kipfer, P., Westermann, R.: GPU Construction and Transparent Rendering of Iso-Surfaces. In: Proc. of Vision, Modeling and Visualization 2005, pp. 241–248 (2005)
Koyamada, K., Sakamoto, N., Tanaka, S.: A particle modeling for rendering irregular volumes. In: Proc. Int. Conf. Computer Modeling and Simulation (UKSIM 2008), Cambridge, pp. 372–377 (2008)
Sakamoto, N., Kawamura, T., Koyamada, K.: Improvement of particle-based volume rendering for visualizing irregular volume data sets. Comput. Graph. 34(1), 34–42 (2010)
Sakamoto, N., Koyamada, K., Saito, A., Kimura, A., Tanaka, S.: Multi-volume rendering using particle fusion. In: IEEE VGTC Pacific Visualization Symp. 2008, Kyoto (2008)
Tanaka, S., Morisaki, A., Nakata, S., Fukuda, Y., Yamamoto, H.: Sampling implicit sur- faces based on stochastic differential equations with converging constraint. Comput. Graph. 24(3), 419–431 (2000)
Tanaka, S., Hasegawa, K., Shimokubo, Y., Kaneko, T., Kawamura, T., Nakata, S., Ojima, S., Sakamoto, N., Tanaka, H., Koyamada, K.: Particle-based transparent rendering of implicit surfaces and its application to fused visualization. Short paper Proc. EuroVis 2012, Vienna, pp. 5–29 (2012)
Hasegawa, K., Ojima, S., Shimokubo, Y.I., Nakata, S., Hachimura, K., Tanaka, S.: Particle-based Transparent Fused Visualization Applied to Medical Volume Data. International Journal of Modeling, Simulation, and Scientific Computing 4(suppl. 01), 1341003 (2013)
Kocer, N., Kizilkilic, O., Babic, D., Ruijters, D., Islak, C.: Fused magnetic resonance angiography and 2D fluoroscopic visualization for endovascular intracranial neuronavigation. Journal of Neurosurgery 118(5), 1000–1002 (2013)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhao, K., Sakamoto, N., Koyamada, K. (2014). Fused Visualization for Large-Scale Time-Varying Volume Data with Adaptive Particle-Based Rendering. In: Tanaka, S., Hasegawa, K., Xu, R., Sakamoto, N., Turner, S.J. (eds) AsiaSim 2014. AsiaSim 2014. Communications in Computer and Information Science, vol 474. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45289-9_20
Download citation
DOI: https://doi.org/10.1007/978-3-662-45289-9_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45288-2
Online ISBN: 978-3-662-45289-9
eBook Packages: Computer ScienceComputer Science (R0)