Efficient CT Image Volume Rendering for Diagnosis

Volume rendering is widely used in medical CT image visualization. Applying 3D image visualization to diagnosis application can require accurate volume rendering with high resolution. Interpolation is important in medical image processing applications such as image compression or volume resampling. However, it can distort the original image data because of edge blurring or blocking effects when image enhancement procedures were applied. In this paper, we proposed adaptive tension control method exploiting gradient information to achieve high resolution medical image enhancement in volume visualization, where restored images are similar to original images as much as possible. The experimental results show that the proposed method can improve image quality associated with the adaptive tension control efficacy.




References:
[1] U.Tiede, T. Schiemann and K. H. Hohne, "Hifh Quality Rendering of
Attributed Volume Data," IEEE Visualization, North Carolina, USA,
Oct. 1998, pp.255-262.
[2] W. Schroeder, K. Martin and B. Lorensen, The Visualization Toolkit
An Object-Oriented Approach to 3D Graphics, New Jersey:
Prentice-Hall Inc., 2006, ch. 7.
[3] C. Rossl, F. Zeilfelder, G. Numberger and H. Seidel, "Reconstruction
of Volume Data with Quadratic Super Splines," IEEE Transactions on
visualization and Computer Graphics, Vol. 10, No. 4, 2004, pp.
397-409.
[4] Byeonghun Lee, Jihye Yun, Jinwook Seo, Byonghyo Shim, Yeong-Gil
Shin and Bohyoung Kim, "Fast High-Quality Volume Ray-Casting
with Virtual Samplings," IEEE Transactions on visualization and
computer graphics, Vol. 16, No. 6, 2010, pp. 1525-1532.
[5] K. Engel, M. Hadwiger, J. M. Kniss, A. E. Lefohn, C. R. Salama and D.
Weiskopf, "Real-Time Volume Graphics," SIGGRAPH2004 Course
Notes, Los Angeles, USA, Aug. 2004, pp. 1-266.
[6] S. Molnar, 1991, Efficient Supersampling Antialiasing for
High-Performance Architectures, UNC-Dc Tech, rep, TR91-023.
[7] E. H. W. Meijering, W. J. Niessen, M. A. Viergever, "Quantitative
evaluation of convolution-based methods for medical image
interpolation," Vol. 5, No. 2, 2001, pp. 111-126.
[8] C. Zhang, P. Xi and C. Zhang, "CUDA-based Volume Ray-Casting Using
Cubic B-spline," 2011 International Conference on Virtual Reality and
Visualization(ICVRV), Beijing, China, Nov. 2011, pp. 84-88.
[9] W. Burger, M. J. Burge, Digital Image Processing An Algorithmic
Introduction Using Java, New York: Springer, 2007, ch. 16.
[10] I. Drnasin, M. Grgic, "The Use of Mobile Phones in Radiology," ELMAR,
2010 proceedings, Zadar, Croatia, Sept. 2010, pp. 17-21.
[11] M. Levoy, "Display of Surfaces from Volume Data," Vol. 8, No. 3, 1988,
pp. 29-37.
[12] C. Yuksel, S. Schaefer, J. Keyser, "On the parameterization of
Catmull-Rom curves." Proceedings of ACM Joint Conference on
Geometric and Physical Modeling, New York, USA, 2009, pp. 47-53.