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Issue No.02 - March/April (2008 vol.14)
pp: 263-276
<p><b>Abstract</b>—With current methods for volume haptics in scientific visualization, features in time-varying data can freely move straight through the haptic probe without generating any haptic feedback ? the algorithms are simply not designed to handle variation with time but consider only the instantaneous configuration when the haptic feedback is calculated. This article introduces haptic rendering of dynamic volumetric data to provide a means for haptic exploration of dynamic behaviour in volumetric data. We show how haptic feedback can be produced that is consistent with volumetric data moving within the virtual environment and with data that, in itself, evolves over time. Haptic interaction with time-varying data is demonstrated by allowing palpation of a CT sequence of a beating human heart.</p>
direct volume haptics, time-varying data, changing model transform, scientific visualization
Karljohan Lundin Palmerius, Matthew Cooper, Anders Ynnerman, "Haptic Rendering of Dynamic Volumetric Data", IEEE Transactions on Visualization & Computer Graphics, vol.14, no. 2, pp. 263-276, March/April 2008, doi:10.1109/TVCG.2007.70409
[1] S. Wall and W. Harwin, “Quantification of the Effects of Haptic Feedback during a Motor Skills Task in a Simulated Environment,” Proc. Phantom User Research Symp., 2000.
[2] A.E. Kirkpatrick and S.A. Douglas, “Application-Based Evaluation of Haptic Interfaces,” Proc. 10th Symp. Haptic Interfaces for Virtual Environments and Teleoperator Systems, 2002.
[3] P.J. Passmore, C.F. Nielsen, W.J. Cosh, and A. Darzi, “Effects of Viewing and Orientation on Path Following in a Medical Teleoperation Environment,” Proc. IEEE Virtual Reality, 2001.
[4] R.J. Adams, D. Klowden, and B. Hannaford, “Virtual Training for Manual Assembly Task,” Haptics-e, the Electronic J. Haptics Research, vol. 2, no. 2,, Oct. 2001.
[5] S.A. Wall, K. Paynter, A.M. Shillito, M. Wright, and S. Scali, “The Effect of Haptic Feedback and Stereo Graphics in a 3D Target Acquisition Task,” Proc. Eurohaptics, 2002.
[6] H. Iwata and H. Noma, “Volume Haptization,” Proc. IEEE Symp. Research Frontiers in Virtual Reality, pp. 16-23, Oct. 1993.
[7] R.S. Avila and L.M. Sobierajski, “A Haptic Interaction Method for Volume Visualization,” Proc. IEEE Visualization, pp. 197-204, Oct. 1996.
[8] D.A. Lawrence, L.Y. Pao, C.D. Lee, and R.Y. Novoselov, “Synergistic Visual/Haptic Rendering Modes for Scientific Visualization,” IEEE Computer Graphics and Applications, vol. 24, no. 6, pp. 22-30, 2004.
[9] K. Lundin, A. Ynnerman, and B. Gudmundsson, “Proxy-Based Haptic Feedback from Volumetric Density Data,” Proc. Eurohaptics, pp. 104-109, 2002.
[10] M. Ikits, J.D. Brederson, C.D. Hansen, and C.R. Johnson, “A Constraint-Based Technique for Haptic Volume Exploration,” Proc. IEEE Visualization, pp. 263-269, 2003.
[11] E. Vidholm, X. Tizon, I. Nyström, and E. Bengtsson, “Haptic Guided Seeding of MRA Images for Semi-Automatic Segmentation,” Proc. IEEE Int'l Symp. Biomedical Imaging, 2004.
[12] K. Lundin, M. Sillén, M. Cooper, and A. Ynnerman, “Haptic Visualization of Computational Fluid Dynamics Data Using Reactive Forces,” Proc. Conf. Visualization and Data Analysis (IS&T/SPIE Symp. Electronic Imaging), pp. 31-41, Jan. 2005.
[13] K. Lundin, B. Gudmundsson, and A. Ynnerman, “General Proxy-Based Haptics for Volume Visualization,” Proc. IEEE World Haptics Conf., pp. 557-560, Mar. 2005.
[14] D.C. Ruspini, K. Kolarov, and O. Khatib, “The Haptic Display of Complex Graphical Environments,” Proc. ACM SIGGRAPH '97, vol. 31, pp. 345-352, 1997.
[15] C.B. Zilles and J.K. Salisbury, “A Constraint-Based God-Object Method for Haptic Display,” Proc. IEE/RSJ Int'l Conf. Intelligent Robots and Systems, Human Robot Interaction, and Cooperative Robots, vol. 3, pp. 146-151, 1995.
[16] A. Mor, S. Gibson, and J. Samosky, “Interacting with 3-Dimensional Medical Data: Haptic Feedback for Surgical Simulation,” Proc. Phantom User Group Workshop, 1996.
[17] D. Bartz and Ö. Gürvit, “Haptic Navigation in Volumetric Datasets,” Proc. PHANToM User Research Symp., 2000.
[18] K. Lundin, M. Cooper, A. Persson, D. Evestedt, and A. Ynnerman, “Enabling Design and Interactive Selection of Haptic Modes,” Virtual Reality, 2006.
[19] S.J. Lederman and R.L. Klatzky, “Hand Movements: A Window into Haptic Object Recognition,” Cognitive Psychology, vol. 19, no. 3, pp. 342-368, July 1987.
[20] J.-P. Thirion, “Image Matching as a Diffusion Process: An Analogy with Maxwell's Demons,” Medical Image Analysis, vol. 2, no. 3, pp.243-260, 1998.
[21] L. Ibanez, W. Schroeder, L. Ng, and J. Cates, The ITK Software Guide: The Insight Segmentation and Registration Toolkit. Kitware Inc., 2003.
[22] S.M. Song and R.M. Leahy, “Computation of 3-D Velocity Fields from 3-D Cone CT Images of a Human Heart,” Trans. Medical Imaging, vol. 10, no. 3, pp. 295-306, Sept. 1991.
[23] I. Mikić, S. Krucinski, and J.D. Thomas, “Segmentation and Tracking in Echocardiographic Sequences: Active Contours Guided by Optical Flow Estimates,” Trans. Medical Imaging, vol. 17, no. 2, pp. 274-284, Apr. 1998.
[24] S.M. Song, R.M. Leahy, D.P. Boyd, B.H. Brundage, and S. Napel, “Determining Cardiac Velocity Fields and Intraventricular Pressure Distribution from a Sequence of Ultrafast CT Cardiac Images,” Trans. Medical Imaging, vol. 13, no. 2, pp. 386-397, June 1994.
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