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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  3/2011 - 16

Visualization of Segmented Structures in 3D Multimodal Medical Data Sets

HERGHELEGIU, P. See more information about HERGHELEGIU, P. on SCOPUS See more information about HERGHELEGIU, P. on IEEExplore See more information about HERGHELEGIU, P. on Web of Science, GAVRILESCU, M. See more information about  GAVRILESCU, M. on SCOPUS See more information about  GAVRILESCU, M. on SCOPUS See more information about GAVRILESCU, M. on Web of Science, MANTA, V. See more information about MANTA, V. on SCOPUS See more information about MANTA, V. on SCOPUS See more information about MANTA, V. on Web of Science
 
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Download PDF pdficon (1,286 KB) | Citation | Downloads: 1,476 | Views: 4,441

Author keywords
computer graphics, visualization, medical diagnostic imaging

References keywords
image(10), visualization(8), graphics(6), rendering(5), medical(5), registration(4), multimodal(4), data(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-08-31
Volume 11, Issue 3, Year 2011, On page(s): 99 - 104
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.03016
Web of Science Accession Number: 000296186700016
SCOPUS ID: 80055074089

Abstract
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The simultaneous inspection of images obtained using different medical scanning methods represents a common practice for accurate medical diagnosis. The term multimodality refers to multiple medical data sets obtained by scanning a patient with the same method at different time moments or with different scanning techniques. Recent research efforts in computer graphics have attempted to solve the problem of visualizing multimodal data in the same scene, for a better understanding of human anatomy or for pathology tracking. This paper proposes a method of integrating segmented structures from a contrast enhanced MRI sequence into the volume reconstructed from the slices of another MRI sequence obtained with different scanning parameters. A direct volume rendering (DVR) approach is used to represent focus and context information from the 3D data. The presented approach aims to help physicians in understanding pathologies and in the process of accurate diagnosis establishment.


References | Cited By  «-- Click to see who has cited this paper

[1] J. A. Bushberg, E. M. Leidholdt, J. M. Boone. The Essential Physics of Medical Imaging (2nd ed.). Lippincott Williams & Wilkins (2001).

[2] M. V. Wyawahare, P. M. Patil, H. K. Abhyankar, "Image Registration Techniques: An overview". Pattern Recognition 2, pp. 11-28 (2009).

[3] D. Mattes, R. Haynor, H. Vesselle, T. K. Lewellen, W. Eubank: "Nonrigid multimodality image registration". Medical Imaging: Image Processing, SPIE 4322, pp. 1609-1620, (2001),
[CrossRef] [SCOPUS Times Cited 380]


[4] B. Fischer, J. Modersitzki, "Ill-posed medicine - an introduction to image registration". Inverse problems. IOP Publishing. 24-3, pp. 251-267, (2008),
[CrossRef] [Web of Science Times Cited 124] [SCOPUS Times Cited 155]


[5] H. Zhang, J. E. Fritts, S. A. Goldman, "Image segmentation evaluation: A survey of unsupervised methods". Computer Vision and Image Understanding, vol. 110, pp. 260-280, (2008),
[CrossRef] [Web of Science Times Cited 619] [SCOPUS Times Cited 854]


[6] N. Passat, C Ronse, J Baruthio, J.-P. Armspach, J. Foucher, "Watershed and multimodalnext term data for brain vessel segmentation: Application to the superior sagittal sinus". Image and Vision Computing Volume 25(4), pp 512-521, (2007),
[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 20]


[7] J. Beyer, M. Hadwiger, S. Wolfsberger, K. Bühler. "High-quality multimodal volume rendering for preoperative planning of neurosurgical interventions". IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE Visualization 2007), vol 13(6), pp 1696-1703, (2007),
[CrossRef] [Web of Science Times Cited 65] [SCOPUS Times Cited 95]


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[9] M. Hadwiger, J. Kniss, C. Rezk-Salama, D. Weiskopf, and K. Engel. Real-time Volume Graphics. Wellesley, MA: AK Peters, (2006)

[10] A. Ghosh, P. Prabhu, A.E. Kaufman, K. Mueller. "Hardware assisted multichannel volume rendering". In Proceedings of Computer Graphics International 2003, pp. 2-7, (2003),
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[11] H. Nguyen. GPU Gems 3. Addison-Wesley, (2008)

[12] F. Rosler, E. Tejada, T. Fangmeier, T. Ertl, and M. Knauff, "GPU-based multi-volume rendering for the visualization of functional brain images". In Proceedings of SimVis 2006, pp 305-318, (2006)

[13] I.H. Manssour, S. S. Furuie, S. D. Olabarriaga, C.M.D.S. Freitas, "Visualizing inner structures in multimodal volume data". In Proceedings of SIBGRAPI 2002, pp. 51-58, (2002),
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[CrossRef]


[15] D. T. Gering, A. Nabavi, R. Kikinis, W. E. L. Grimson, N. Hata, P. Everett, F. A. Jolesz, W. M. Wells 3rd. "An integrated visualization system for surgical planning and guidance using image fusion and interventional imaging". In Medical Image Computing and Computer Assisted Intervention-MICCAI'99, pp. 809-819, (1999).

[16] J. Ahrens, B. Geveci, C. Law, "An End-User Tool for Large-Data Visualization". In Visualization Handbook Edited by C.D. Hansen and C.R. Johnson, pp 717-731 (2005).
[CrossRef] [SCOPUS Times Cited 1442]


[17] J. Meyer-Spradow, T. Ropinski, J. Mensmann, K. Hinrichs, "Voreen: A Rapid-Prototyping Environment for Ray-Casting-Based Volume Visualizations". In IEEE Computer Graphics and Applications, vol. 29(6), pp. 6-13, (2009),
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References Weight

Web of Science® Citations for all references: 3,400 TCR
SCOPUS® Citations for all references: 6,072 TCR

Web of Science® Average Citations per reference: 142 ACR
SCOPUS® Average Citations per reference: 253 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-12-30 01:44 in 95 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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