Research Article
Optimal Segmentation of Brain Tumors using DRLSE Levelset
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 29 - Issue 9 |
| Published: September 2011 |
| Authors: Usha Rani.N, Dr.P.V.Subbaiah, Dr.D.Venkata Rao, Nalini.K |
10.5120/3594-4987
|
Usha Rani.N, Dr.P.V.Subbaiah, Dr.D.Venkata Rao, Nalini.K . Optimal Segmentation of Brain Tumors using DRLSE Levelset. International Journal of Computer Applications. 29, 9 (September 2011), 6-11. DOI=10.5120/3594-4987
@article{ 10.5120/3594-4987,
author = { Usha Rani.N,Dr.P.V.Subbaiah,Dr.D.Venkata Rao,Nalini.K },
title = { Optimal Segmentation of Brain Tumors using DRLSE Levelset },
journal = { International Journal of Computer Applications },
year = { 2011 },
volume = { 29 },
number = { 9 },
pages = { 6-11 },
doi = { 10.5120/3594-4987 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2011
%A Usha Rani.N
%A Dr.P.V.Subbaiah
%A Dr.D.Venkata Rao
%A Nalini.K
%T Optimal Segmentation of Brain Tumors using DRLSE Levelset%T
%J International Journal of Computer Applications
%V 29
%N 9
%P 6-11
%R 10.5120/3594-4987
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Image segmentation plays a vital role in medical image processing and computer vision. In case of medical scan images geometric level set functions perform accurate segmentation in good no of cases but develops irregularities during concave region evolution. These irregularities cause numerical errors and eventually destroy the stability of the evolution. In this paper, a new variational formulation known as distance regularization has a unique forward-and-backward (FAB) diffusion effect is used for the analysis of medical brain image scans which perform accurate segmentation in case of concavities. This method also eliminates the need of the costly re-initialization procedure. This method shows reliable and good convergence to the object boundaries with speed in case of concavities.
References
- M. Kass, A. Witkin, and D. Terzopoulos, “Snakes: Active contour models,” Int. J. Comput. Vis., vol. 1, no. 4, pp. 321–331, Jan. 1987.
- V. Caselles, F. Catte, T. Coll, and F. Dibos, “A geometric model for active contours in image processing”, Numer. Math., vol. 66, pp. 1-31, 1993.
- V. Caselles, R. Kimmel, and G. Sapiro, “A geometric model for active contours”, IJCV, vol. 22, pp. 61- 79, 1997.
- Mark Holden, “A Review of Nonrigid Transformations for Medical Images” IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 27, NO. 1, JANUARY 2008.
- J.A. Sethian, “Level Set Methods and Fast Marching Methods”, Cambridge University, 1999.
- S. Osher, R. Fedkiw, “Level Set Methods and Dynamic Implicit Surface”, Springer-Verlag, 2002.
- D. Adalsteinsson, J.A. Sethian, “A Fast Level Set Method for Propagating Interfaces”, J.Comp.Phys., pp.269~277, 1995.
- J. V. Hajnal, D. L. G. Hill, and D. J. Hawkes, Eds., Medical ImageRegistration. Bocal Raton, FL: CRC Press, 2001.
- J. Maintz and M. A. Viergever, “A survey of medical image registration,”Med. Imag. Anal., vol. 2, no. 1, pp. 1–36, 1998.
- R.Malladi, J.Sethian, and B.Vemuri. Shape modeling with front propagation:A level set approach. IEEE Trans. on Pattern Analysis and Machine Intelligence, V.17, No.2, pp.158-175, February 1995.
- T.Chan, L.A. Vese, “Active Contours without Edges”, IEEE Transaction on Image Processing, vol.10(2), pp.266~277, 2001.
- Chunming Li 1, Chenyang Xu 2, Changfeng Gui 3, and Martin D. Fox, “Level Set Evolution without Re-initialization: A New Variational Formulation”, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2005.
- Chunming et.al. “A Variational Level Set Approach to Segmentation and Bias Correction of Images with Intensity Inhomogeneity”,MICCAI 2008, Part II, LNCS 5242, pp. 1083–1091, 2008.
- Chunming Li, Chenyang Xu, Senior Member, IEEE, Changfeng Gui, and Martin D. Fox, Member, IEEE,” Distance Regularized Level Set Evolution and Its Application to Image Segmentation”, IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 19, NO. 12, DECEMBER 2010,pp3243-3254.
Index Terms
Keywords