Real time multiple planar volume clipping based on the programmable graphics process unit

• Autorzy: Yuan F.
• Języki publikacji: EN

Abstrakty

EN

We propose a real time volume clipping method which is capable of using several analytical planes for virtual clipping, in order to display internal anatomical structures within volumetric data sets. A single proxy plane is used for computation of the direction of a ray that is cast from the viewpoint. Intersections between the rays and the planes are computed on graphics process unit (GPU). The start and end points for each ray are determined by analyzing relationships with the ray direction, intersections and the normal of planes. Then the volume integral is computed along the ray from the start point to the end point. To obtain immediate visual feedback of clipping effects, we implement translation and rotation of planes on GPU to interactively change the shape of clip object. At last, several experiments were performed on a standard PC with a GeForce FX8600 graphics card. Experimental results show that the method can freely clip and clearly visualize volumetric data sets at real time frame rates.

Słowa kluczowe

EN

planar volume clipping; graphics process unit (GPU) ray casting; single proxy plane

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Optica Applicata
• Rocznik: 2009
• Tom: Vol. 39, nr 2
• Strony: 331--345
• Opis fizyczny: bibliogr. 25 poz.,

Twórcy

autor

Yuan F.

• School of Information Technology, Jiangxi University of Finance and Economics Nanchang 330013, Jiangxi, China

Bibliografia

• [1] PFISTER H., Architectures for real-time volume rendering, Future Generation Computer Systems 15(1), 1999, pp. 1–9.
• [2] VILANOVA A., GROLLER E., KONG A., Cylindrical approximation of tubular organs for virtual endoscopy, Technical Report TR-186-2-00-02, February 2000.
• [3] SHARGHI M., RICKETTS I.W., A novel method for accelerating the visualization process used in virtual colonoscopy, Information Visualization 2001, San Diego, California, October 22–23, 2001, pp. 167–172.
• [4] BRADY M., JUNG K., NGUYEN H.T., NGUYEN T., Two-phase perspective ray casting for interactive volume navigation, Proceedings of the IEEE Visualization Conference, Phoenix, Arizona, October 19–24, 1997, pp. 183–189.
• [5] CULLIP T., NEUMANN U., Accelerating volume reconstruction with 3D texture mapping hardware, Technical Report TR93-027, Department of Computer Science, University of North Carolina, Chapel Hill, 1993.
• [6] CABRAL B., CAM N., FORAN J., Accelerated volume rendering and tomographic reconstruction using texture mapping hardware, Proceedings of IEEE Symposium on Volume Visualization, 1994, pp.91–98.
• [7] REZK-SALAMA C., ENGEL K., BAUER M., GREINER G., ERTL T., Interactive volume rendering on standard PC graphics hardware using multi-textures and multi-stage rasterization, [In] Proceedings of the SIGGRAPH/Eurographics Workshop on Graphics Hardware, 2000, pp. 109–118.
• [8] WESTERMANN R., ERTL T., Efficiently using graphics hardware in volume rendering applications, [In] Proceedings of the ACM SIGGRAPH Conference on Computer Graphics, 1998, pp. 169–178.
• [9] KRÜGER J., WESTERMANN R., Acceleration techniques for GPU-based volume rendering, Proceedings of the IEEE Visualization Conference, 2003, pp. 287–292.
• [10] HADJIRA BENTOUMI, PASCAL GAUTRON, KADI BOUATOUCH, GPU-based volume rendering for medical imagery, International journal of computer systems science and engineering 1(1), 2007, pp. 36–42.
• [11] REIS G., ZEILFELDER F., HERING-BERTRAM M., FARIN G., HAGEN H., High-quality rendering of quartic spline surfaces on the GPU, IEEE Transactions on Visualization and Computer Graphics 14(5), 2008, pp. 1126–1139.
• [12] YOUNGMIN KIM, CHANG HA LEE, AMITABH VARSHNEY, Vertex-transformation streams, Graphical Models 68(4), 2006, pp. 371–383.
• [13] FIALKA O., CADK M., FFT and convolution performance in image filtering on GPU, Proceedings of the Information Visualization, 2006.
• [14] KRÜGER J., WESTERMANN R., Linear algebra operators for gpu implementation of numerical algorithms, ACM Transactions on Graphics 22(3), 2003, pp. 908–916.
• [15] VAN GELDER A., KIM K., Direct volume rendering with shading via three-dimensional textures, Proceedings of the Symposium on Volume Visualization, 1996, pp. 23–30.
• [16] WEISKOPF D., ENGEL K., ERTL T., Interactive clipping techniques for texture-based volume visualization and volume shading, IEEE Transactions on Visualization and Computer Graphics 9(3), 2003, pp. 298–312.
• [17] DIEPSTRATEN J., WEISKOPF D., ERTL T., Transparency in Interactive technical illustrations, Computer Graphics Forum 21(3), 2002, pp. 317–325.
• [18] MAMMEN A., Transparency and antialiasing algorithms implemented with the virtual pixel maps technique, IEEE Computer Graphics and Applications 9(4), 1989, pp. 43–55.
• [19] DIEFENBACH P.J., Pipeline Rendering, Interaction and Realism through Hardware-Based Multi-Pass Rendering, PhD Thesis, University of Pennsylvania, 1996.
• [20] TIEDE U., SCHIEMANN T., HOHNE K.H., High quality rendering of attributed volume data, Proceeding on IEEE Visualization 1998, 1998, pp. 255–262.
• [21] WILLIAMS D., GRIMM S., COTO E., ROUDSARI A., HATZAKIS H., Volumetric curved planar reformation for virtual endoscopy, IEEE Transactions on Visualization and Computer Graphics 14(1), 2008, pp. 109–119.
• [22] STEGMAIER S., STRENGERT M., KLEIN T., ERTL T., A simple and flexible volume rendering framework for graphics-hardware based raycasting, Volume Graphics 2005 Eurographics/IEEE VGTC Workshop Proceedings – Fourth International Workshop on Volume Graphics, 2005, pp. 187–195.
• [23] TRIERS P., GPU ray casting tutorial, http://www.daimi.au.dk/~trier/?page_id=98.
• [24] CHU JINGJUN, YANG XIN, GAO YAN, Ray-casting-based volume rendering algorithm using GPU programming, Journal of Computer-Aided Design and Computer Graphics 119(2), 2007, pp. 257–262 (in Chinese).
• [25] YANG WENMAO, Spacial Analytical Geometry, Wuhan University Publish House, Beijing, China, 2006, pp. 121–140 (in Chinese).