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Full Body Virtual Autopsies using a State-of-the-art Volume Rendering Pipeline
September-October 2006 (vol. 12 no. 5)
pp. 869-876
This paper presents a procedure for virtual autopsies based on interactive 3D visualizations of large scale, high resolution data from CT-scans of human cadavers. The procedure is described using examples from forensic medicine and the added value and future potential of virtual autopsies is shown from a medical and forensic perspective. Based on the technical demands of the procedure state-of-the-art volume rendering techniques are applied and refined to enable real-time, full body virtual autopsies involving gigabyte sized data on standard GPUs. The techniques applied include transfer function based data reduction using level-of-detail selection and multi-resolution rendering techniques. The paper also describes a data management component for large, out-of-core data sets and an extension to the GPU-based raycaster for efficient dual TF rendering. Detailed benchmarks of the pipeline are presented using data sets from forensic cases.
[1] C. Bajaj, I. Ihm, and S. Park, 3D RGB image compression for interactive applications. ACM Transactions on Graphics, 20 (1): 10–38, January 2001.
[2] I. Boada, I. Navazo, and R. Scopigno, Multiresolution volume visualization with a texture-based octree. The Visual Computer, 17: 185–2001.
[3] B. Cabral, N. Cam, and J. Foran, Accelerated volume rendering and tomographic reconstruction using texture mapping hardware. In VVS '94: Proceedings of the 1994 symposium on Volume visualization, pages 91–98, New York, NY, USA, 1994. ACM Press.
[4] Y. Donchin, A. I. Rivkind, J. Bar-Ziv, J. Hiss, J. Almog, and M. Drescher, Utility of postmortem computed tomography in trauma victims. Journal of trauma, 37 (4): 552–552 1994.
[5] Ö. Etlik, O. Temizöz, A. Dogan, M. Kayan, H. Arslan, and Ö. Unal, Three-dimensional volume rendering imaging in detection of bone fractures. European Journal of General Medicine, 1: 48–52, 2004.
[6] S. L. Fischman, The use of medical and dental radiographic identification of unknown human remains. Journal of Forensic Sciences, 31: 145–146, 1997.
[7] T. Flohr, K. Stierstorfer, H. Bruder, J. Simon, and S. Schaller, New technical developments in multislice ct, part 1: approaching isotropic resolution with sub-millimeter 16-slice scanning. Fortschritte auf dem Gebiete der Röntgenstrahlen und der Nuklearmedizin, 174: 839–845, 2002.
[8] J. Gao, J. Huang, C. R. Johnson, and S. Atchley, Distributed data management for large volume visualization. In Proceedings IEEE Visualization 2005, pages 183–189. IEEE, 2005.
[9] J. Gao, J. Huang, H.-W. Shen, and J. A. Kohl, Visibility culling using plenoptic opacity functions for large volume visualization. In Proceedings IEEE Visualization 2003, pages 341–348. IEEE, 2003.
[10] S. Guthe and W. Strasser, Advanced techniques for high quality multiresolution volume rendering. In Computers & Graphics, volume 28 pages 51–58. Elsevier Science, 2004.
[11] S. Guthe, M. Wand, J. Gonser, and W. Straßer, Interactive rendering of large volume data sets. In Proceedings IEEE Visualization 2002, pages 53–60, 2002.
[12] S. L. Harris, Postmortem magnetic resonance images of the injured brain: effective evidence in the courtroom. Forensic Science International, 50: 179–185, 1991.
[13] I. Ihm and S. Park, Wavelet-based 3d compression scheme for interactive visualization of very large volume data. Computer Graphics Forum, 18 (1): 3–15, 1999.
[14] A. Keller and W. Heidrich, Interleaved sampling. In Proceedings of the 12th Eurographics Workshop on Rendering Techniques, pages 269–276, 2001.
[15] T. Klein, M. Strengert, S. Stegmaier, and T. Ertl, Exploiting frame-to-frame coherence for accelerating high-quality volume raycasting on graphics hardware. In Proceedings IEEE Visualization 2005, pages 223–230, 2005.
[16] M. Kraus and T. Ertl, Adaptive texture maps. In Eurographics/SIGGRAPH Workshop on Graphics Hardware, pages 7–15, 2002.
[17] J. Krüger and R. Westermann, Acceleration techniques for based volume rendering. In Proceedings IEEE Visualization 2003, pages 287–292, 2003.
[18] E. C. LaMar, B. Hamann, and K. I. Joy, Multiresolution techniques for interactive texture-based volume visualization. In Proceedings IEEE Visualization sualization 1999, pages 355–362, 1999.
[19] E. C. LaMar, B. Hamann, and K. I. Joy, Efficient error calculation for multiresolution texture-based volume visualization. In G. Farin, B. Hamann, and H. Hagen, editors, Hierachical and Geometrical Methods in Scientific Visualization, pages 51–62. Springer-Verlag, Heidelberg, Germany, 2003.
[20] P. Ljung, Adaptive sampling in single pass, GPU-based raycasting of multiresolution volumes. In Proceedings Eurographics/IEEE Workshop on Volume Graphics 2006, pages 39–46, 134, 2006.
[21] P. Ljung, C. Lundström, and A. Ynnerman, Multiresolution interblock interpolation in direct volume rendering. In Proceedings Eurographics/IEEE Symposium on Visualization 2006, pages 259–266, 2006.
[22] P. Ljung, C. Lundström, A. Ynnerman, and K. Museth, Transfer function based adaptive decompression for volume rendering of large medical data sets. In Proceedings IEEE Volume Visualization and Graphics Symposium 2004, pages 25–32, 2004.
[23] M. Mahesh, Search for isotropic resolution in CT from conventional through multiple-row detector. Radiographics, 22: 949–962, 2002.
[24] K. G. Nguyen and D. Saupe, Rapid high quality compression of volume data for visualization. Computer Graphics Forum, 20 (3), 2001.
[25] W. R. Oliver, A. S. Chancellor, J. Soitys, J. Symon, T. Cullip, J. Rosenman, R. Hellman, A. Boxwala, and W. Gormley, Three-dimensional reconstruction of a bullet path: validation by computed radiography. Journal of Forensic Sciences Sciences, 40: 321–324, 1995.
[26] P. R. Ros, K. C. Li, P. Vo, H. Baer, and E. V. Staab, Preautopsy magnitic resonance imaging: initial experience. Magnetic Resonance Imaging, 8: 303–308, 1990.
[27] H. Scharsach, Advanced GPU raycasting. In Proceedings of the 9th Central European Seminar on Computer Graphics, May 2005.
[28] S. Stegmaier, M. Strengert, T. Klein, and T. Ertl, A simple and flexible volume rendering framework for graphics-hardware—based raycasting. In Eurographics/IEEE Volume Graphics Symposium. Eurographics, 2005.
[29] E. Sylvan, CT-based measurement of lung volume and attentuation of deceased. Master's thesis, Linköping University, 2005.
[30] M. Thali, W. Schweitzer, K. Yen, P. Vock, C. Ozdoba, E. Spielfogel, and R. Dirnhofer, New horizons in forensic radiology: the 60-second digital autopsy-full-body examination of a gunshot victim by multislice computed tomography. The American journal of forensic medicine and pathology, 24: 22–27, 2003.
[31] M. Thali, U. Taubenreuther, M. Karolczak, M. Braun, W. Brueschweiler, W. A. Kalender, and R. Dirnhofer, Forensic microradiology: microcomputed tomography (Micro-CT) and analysis of patterned injuries inside of bone. Journal of Forensic Sciences, 48: 1336–1342, 2003.
[32] M. Thali, K. Yen, W. Schweitzer, P. Vock, C. Boesch, C. Ozdoba, G. Schroth, M. Ith, M. Sonnenschein, T. Doernhoefer, E. Scheurer, T. Plattner, and R. Dirnhofer, Virtopsy, a new imaging horizon in forensic pathology: virtual autopsy by postmortem multislice computed tomography (MSCT) and magnetic resonance imaging (MRI) - a feasibility study. Journal of Forensic Sciences Sciences, 48: 386–403, 2003.
[33] M. Weiler, R. Westermann, C. Hansen, K. Zimmerman, and T. Ertl, Level—of—detail volume rendering via 3d textures. In Proceedings IEEE Volume Visualization and Graphics Symposium 2000, pages 7–13. ACM Press, 2000.
Index Terms:
Forensics, autopsies, medical visualization, volume rendering, large scale data.
Citation:
Patric Ljung, Calle Winskog, Anders Persson, Claes Lundström, Anders Ynnerman, "Full Body Virtual Autopsies using a State-of-the-art Volume Rendering Pipeline," IEEE Transactions on Visualization and Computer Graphics, vol. 12, no. 5, pp. 869-876, Sept. 2006, doi:10.1109/TVCG.2006.146
