3D Segmentation, Compression and Wireless Transmission of Volumetric Brain MR Images
The main objective of this paper is to provide an efficient tool for delineating brain tumors in three-dimensional magnetic resonance images and set up compression-transmit schemes to distribute result to the remote doctor. To achieve this goal, we use basically a level-sets approach to delineating brain tumors in threedimensional. Then introduce a new compression and transmission plan of 3D brain structures based for the meshes simplification, adapted for time to the specific needs of the telemedicine and to the capacities restricted by wireless network communication. We present here the main stages of our system, and preliminary results which are very encouraging for clinical practice.
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models.," in Handbook of Medical Imaging, vol. 2: SPIE, 2000, pp. 129-
174.
[4] T. McInerney and D. Terzopoulos, "Topologically adaptable snakes," in
the Proceedings of 5th International Conference on Computer Vision,
pp. 840-845, 1995.
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[8] R. Malladi, J. A. Sethian, and B. C. Vemuri, "Shape modeling with front
propagation: A level set approach," IEEE Transactions on Pattern
Analysis and Machine Intelligence, vol. 17,no. 2, pp. 158-175, 1995.
[9] El. Angelini and al, Segmentation of Real-Time Three-Dimensional
Ultrasound for Quantification of Ventricular Function: A Clinical Study
on Right and Left Ventricles, Ultrasound in Med. & Biol., Vol. 31, No.
9, pp. 1143-1158, 2005
[10] Medical Database for the Evaluation of Image and Signal processing
(MeDEISA),http://www.istia.univangers.fr/LISA_MeDEISA/IEEE_FR
ANCE_EMB/
[11] D.Saupe, J.Kuska. Compression of Isosurfaces for Structured Volumes.
VMV 2001 : 333-340 Stuttgart, Germany 2001.
[12] O. Devillers et P.-M. Gandoin. Geometric compression for interactive
transmission. Dans IEEE Visualization 2000 Conference Proc., 2000.
[13] P.-M. Gandoin et O. Devillers. Progressive lossless compression of
arbitrary simplicial complexes. ACM Transactions on Graphics, 21
:372-379, 2002. SIGGRAPH -2002 Conference Proceedings.
[14] C. Touma et C. Gotsman. Triangle mesh compression. Dans Graphics
Interface 98 Conference Proc., pages 26-34, 1998.
[15] D. Cohen-Or, D. Levin, et O. Remez. Progressive compression of
arbitrary triangular meshes. Dans IEEE Visualization 99 Conference
Proc., pages 67-72, 1999.
[16] P. Alliez et M. Desbrun. Progressive compression for lossless
transmission of triangle meshes. Dans SIGGRAPH 2001 Conference
Proc., 2001.
[17] H. Hoppe, T. DeRose, T. Duchamp, J. McDonald, et W. Stuetzle. Mesh
optimization. Dans SIGGRAPH 93 Conference Proc., 1993.
[18] H. Hoppe, "Progressive Meshes", SIGGRAPH '96 Proc., pp. 99-
108, August 1996.
[19] W.Peuch Evaluation d-une application de transmission d-images
médicales avec un réseau sans fil 3rd International Conference: Sciences
of Electronic, Technologies of Information and Telecommunications
March 27-31, 2005 - TUNISIA
[20] S.Lee & T. Lee & G.Jin & J.Hong. An Implementation of Wireless
Medical Image Transmission System on Mobile Devices. J Med Syst
(2008) 32:471-480
[1] T. McInerney and D. Terzopoulos, "Deformable models in medical
image analysis: A survey," Medical Image Analysis, vol. 1, pp. 91-108,
1996.
[2] M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: Active contour
models," International Journal of Computer Vision, vol. 1, pp. 321-331,
1987.
[3] C. Xu, D. Pham, and J. Prince, "Image segmentation using deformable
models.," in Handbook of Medical Imaging, vol. 2: SPIE, 2000, pp. 129-
174.
[4] T. McInerney and D. Terzopoulos, "Topologically adaptable snakes," in
the Proceedings of 5th International Conference on Computer Vision,
pp. 840-845, 1995.
[5] S. Osher and J. A. Sethian, Fronts propagating with curvature-dependent
speed: Algorithms based on Hamilton-Jacobi formulations, J. Comput.
Phys. 79, 12 (1988).
[6] J. A. Sethian, Numerical methods for propagating fronts, in Variational
Methods for Free Surface Interfaces,
[7] J. A. Sethian, Curvature and the evolution of fronts, Commun. Math.
Phys. 101, 487 (1985).A. Alpher. Frobnication. Journal of Foo,
12(1):234-778, 2002.
[8] R. Malladi, J. A. Sethian, and B. C. Vemuri, "Shape modeling with front
propagation: A level set approach," IEEE Transactions on Pattern
Analysis and Machine Intelligence, vol. 17,no. 2, pp. 158-175, 1995.
[9] El. Angelini and al, Segmentation of Real-Time Three-Dimensional
Ultrasound for Quantification of Ventricular Function: A Clinical Study
on Right and Left Ventricles, Ultrasound in Med. & Biol., Vol. 31, No.
9, pp. 1143-1158, 2005
[10] Medical Database for the Evaluation of Image and Signal processing
(MeDEISA),http://www.istia.univangers.fr/LISA_MeDEISA/IEEE_FR
ANCE_EMB/
[11] D.Saupe, J.Kuska. Compression of Isosurfaces for Structured Volumes.
VMV 2001 : 333-340 Stuttgart, Germany 2001.
[12] O. Devillers et P.-M. Gandoin. Geometric compression for interactive
transmission. Dans IEEE Visualization 2000 Conference Proc., 2000.
[13] P.-M. Gandoin et O. Devillers. Progressive lossless compression of
arbitrary simplicial complexes. ACM Transactions on Graphics, 21
:372-379, 2002. SIGGRAPH -2002 Conference Proceedings.
[14] C. Touma et C. Gotsman. Triangle mesh compression. Dans Graphics
Interface 98 Conference Proc., pages 26-34, 1998.
[15] D. Cohen-Or, D. Levin, et O. Remez. Progressive compression of
arbitrary triangular meshes. Dans IEEE Visualization 99 Conference
Proc., pages 67-72, 1999.
[16] P. Alliez et M. Desbrun. Progressive compression for lossless
transmission of triangle meshes. Dans SIGGRAPH 2001 Conference
Proc., 2001.
[17] H. Hoppe, T. DeRose, T. Duchamp, J. McDonald, et W. Stuetzle. Mesh
optimization. Dans SIGGRAPH 93 Conference Proc., 1993.
[18] H. Hoppe, "Progressive Meshes", SIGGRAPH '96 Proc., pp. 99-
108, August 1996.
[19] W.Peuch Evaluation d-une application de transmission d-images
médicales avec un réseau sans fil 3rd International Conference: Sciences
of Electronic, Technologies of Information and Telecommunications
March 27-31, 2005 - TUNISIA
[20] S.Lee & T. Lee & G.Jin & J.Hong. An Implementation of Wireless
Medical Image Transmission System on Mobile Devices. J Med Syst
(2008) 32:471-480
@article{"International Journal of Medical, Medicine and Health Sciences:52289", author = "K. Aloui and M. S. Naceur", title = "3D Segmentation, Compression and Wireless Transmission of Volumetric Brain MR Images", abstract = "The main objective of this paper is to provide an efficient tool for delineating brain tumors in three-dimensional magnetic resonance images and set up compression-transmit schemes to distribute result to the remote doctor. To achieve this goal, we use basically a level-sets approach to delineating brain tumors in threedimensional. Then introduce a new compression and transmission plan of 3D brain structures based for the meshes simplification, adapted for time to the specific needs of the telemedicine and to the capacities restricted by wireless network communication. We present here the main stages of our system, and preliminary results which are very encouraging for clinical practice.
", keywords = "Medical imaging, level-sets, compression, meshessimplification, telemedicine, wireless transmission.", volume = "5", number = "4", pages = "137-6", }
