”RAIN FALL” PARTICLE MODEL FOR SHAPE RECOVERY AND IMAGE SEGMENTATION

Wen Shi, Shahram Payandeh

2010

Abstract

This paper studies the problem of shape recovery and image segmentation with examples related to medical imaging. Our purpose is to explore an alternative physics based image segmentation model in comparison with parametric intensive methods such as active contour or level set approaches. The proposed model can offer a more computational efficient approach. As an early attempt, a novel segmentation method based on physically motivated particle system is presented, analyzed and integrated for 2D and 3D applications. Different from previous particle based segmentation method, our proposed approach is governed physically by fluid dynamic model. Additionally a novel "rain fall" model is presented as an alternative paradigm for shape reconstruction and image segmentation when working with complex 2D and 3D medical images. In this paper, an overview of fluid mechanical model and fluid particle simulation process is presented as well. Segmentation results on 2D images and shape recovery of 3D images are presented followed by discussions and conclusions.

References

  1. Ajit Singh, Dmitry Goldgof, Demetri Terzopoulos. (1996). Deformable models in Medical image Analysis. In Medical image analysis 1996. Elsevier Science Press.
  2. Michael Kass, Andrew Witkin, Demetri Terzopoulos. (1987). Snake: Active Contour Models. In Internatioanl journal of Computer Vision, 321-331. Kluwer Academic Publishers.
  3. Andrei C. Jalba, Michael H.F. Wilkinson, Jos B.T.M. Roerdink. (2004). CPM: A Deformable Model for Shape Recoveryand Segmentation Based on Charged Particles. In IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 10, October 2004. IEEE Computer Society.
  4. Herng-Hua Chang and Daniel J. Valentino. (2008). An Electrostatic Deformable Model for Medical Image Segmentation. In Comput Med Imaging Graph. 2008 January ; 32(1): 2235..
  5. Andrei C. Jalba and Jos b.T.M. Roerdink. (2006). A Physically-Motivated Deformable Model Based on Fluid Dynamics In ECCV 2006, Part 1, LNCS 3951, pp. 496-507,2006 Springer-Verlag Berlin Heidelberg
  6. Rashindra Manniesing, Max A. Viergever, Wiro J. Niessen. (2006). Vessel enhancing diffusion A scale space representation of vessel structures. In Medical Image Analysis 10 (2006) 815-825. Elsevier Science
  7. Joe J. Monaghan. (1992). Smoothed Particle hydrodynamics. In Annu. Rev. Astron. Physics, 30:543, 1992.
  8. Joe J. Monaghan. (2005). Smoothed Particle hydrodynamics. In Reports on progress in Physics, 68:1703- 1759,2005.
  9. M. Mller, R. Keiser, A. Nealen, M. Pauly, M. Gross and M. Alexa. (2004). Point Based Animation of Elastic, Plastic and Melting Objects. In Eurographics/ACM SIGGRAPH Symposium on Computer Animation (2004) Eurographics Association
  10. M.H. Everts H. Bekker A.C. Jalba J.B.T.M. Roerdink. (2006). Particle Based Image Segmentation with Simulated Annealing.
  11. T. Deschamps, P. Schwartz, D. Trebotich, P. Colella, D. Saloner, R. Malladi. (2004). Vessel segmentation and blood flow simulation using Level-Sets and Embedded Boundary methods. In International Congress Series 1268 (2004) 75 80 Elsevier Science
  12. Clayton T. Crowe, John A. Roberson. (1975). Engineering Fluid Mechanics. Houghton Mifflin Co,, 1975
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Paper Citation


in Harvard Style

Shi W. and Payandeh S. (2010). ”RAIN FALL” PARTICLE MODEL FOR SHAPE RECOVERY AND IMAGE SEGMENTATION . In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010) ISBN 978-989-674-018-4, pages 68-73. DOI: 10.5220/0002712700680073


in Bibtex Style

@conference{biosignals10,
author={Wen Shi and Shahram Payandeh},
title={”RAIN FALL” PARTICLE MODEL FOR SHAPE RECOVERY AND IMAGE SEGMENTATION},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)},
year={2010},
pages={68-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002712700680073},
isbn={978-989-674-018-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)
TI - ”RAIN FALL” PARTICLE MODEL FOR SHAPE RECOVERY AND IMAGE SEGMENTATION
SN - 978-989-674-018-4
AU - Shi W.
AU - Payandeh S.
PY - 2010
SP - 68
EP - 73
DO - 10.5220/0002712700680073