For instance: The Scientific Opinion
About consortium subscription Contacts
(812) 923 41 97 Non-commercial partnership
St. Petersburg
Your order
To the amount of:


"Humanities and Science University Journal" №10 (Physical and mathematical, biological and technical science), 2014.

3D-Reconstruction and Visualization of Blood Vessels Based on the Ultrasound Scan Data

V. G. Shubnikov, I. V. Shturts, A. A. Zherzdev
Price: 50 руб.
 The detection and visualization of blood vessels is an important task for practical medical treatment. The authors have developed the algorithms for blood vessel problems and a 3D blood vessel visualization of a human arm (or leg) in a real time based on medical ultrasound sensor signals. The proposed technique provides a software basis for an auto cuff to stop internal bleeding which is being designed now.
The algorithms are based on digital image processing and pattern recognition methods.
Keywords: medical image processing, pattern recognition, 3D reconstruction, blood vessel visualization, polygonal models.
1. Felzenszwalb, P., & Huttenlocher, D. Distance transform of sampled functions.
Theory of computing, 2012, 8 (19), 415–428.
2. Gonzalez, R., & Woods, R. Digital Image Processing (3rd ed.). 2008, USA:
Prentice Hall.
3. Heckbert, P. A Seed Fill Algorithm. In Graphics GEMS, 1990, USA: Academic
4. Kass, M., Witkin, A., & Terzopoulos, D. Snakes: Active Contour Models.
International Journal of Computer Vision, 1988, Vol. 1, Iss. 4, 321–331.
5. Lazaro, S. Modeling of Realistic Blood Vessel Geometry (Bachelor Thesis). 2011,
Hannover, Germany: Leibniz Universitat Hannover.
6. Liao, J.-R., Kuo, S.-C., Kuo, L.-S., Huang, S.-H., & Jou, J.-J. Three Dimensional
Reconstruction of Blood Vessels from Stereoscopic Magnetic Resonance Angiography.
Journal of Medical and Biological Engineering, 2004, 24 (2), 109–114.
7. Mouroutis, T., Roberts, S., Bharath, A., & Alusi, G. Compact Hough Transform
and a Maximum Likelihood Approach to Cell Nuclei Detection. In Proceedings of the
13th Digital Signal Processing International Conference, 1997, Vol. 2, 869–872.
8. Oh, K.-M., Hahn, J.K., Lim, M.L., Lee, E.-T., Choi, J.-D., Lee, C.-S., & Park, C.-J.
A Segmentation and Abstraction of Blood Vessels from Volume Data for Surgical
Simulation. In Proceedings of the 19th International Conference on Arti fi cial Reality
and Tele-existence, ICAT’99, 1999, pp. 92–97.
9. Zhang, Z. Parameter Estimation Techniques: A Tutorial with Application to Conic
Fitting. Image and Vision Computing Journal, 1997, 15 (1), 59–76.
Price: 50 рублей
To order