DIAGNOSIS - A Global Alignment and Fusion Medical System

E. Faliagka, V. N. Syrimpeis, A. Tsakalidis, G. K. Matsopoulos, J. Tsaknakis, G. Tzimas

Abstract

In this paper, a global registration-fusion system of medical data is presented in detail. The system is comprised by the following basic subsystems: (1) the multimodal medical image archiving and communication subsystem, (2) the image processing subsystem, and (3) the multimodal registration and fusion subsystem. The system offers various capabilities such as storage, retrieval, distribution and presentation of images from different medical modalities in DICOM format, supports multiple examinations of a patient and uses parallel processing threads to perform the processing of the acquired three-dimensional (3D) data in almost real time. The paper discusses the basic features of the proposed system, analyzes the proposed algorithms for image preprocessing, registration and fusion and presents the results of an experimental study that was carried out for evaluating its performance. The innovation of the proposed work is multilayered. It provides automatic matching based on both segmented surfaces and on different levels of gray and it allows comparison of registration accuracy for the different techniques based on specific criteria to quantify registration. Finally, it improves the registration when there is movement and / or distortion in the data collection of the patient from different imaging systems.

References

  1. J. B. A. Maintz and M. A. Viergever, 1998. A survey of medical image registration, Medical Image Analysis, vol. 2, no. 1, pp.1-36,
  2. J.V. Hajnal, D.L.G. Hill, and D.J. Hawkes, 2001. Medical image registration, CRC Press.
  3. D.J. Hawks, D.L.G. Hill, and E.C.M.L. Bracey, 1992. Multi-modal data fusion to combine anatomical and physiological information in the head and the heart, in J.H.C. Reiber and E.E. Van der Wall (Eds.): Cardiovascular Nuclear Medicine and MRI, Kluwer Academic Publishers, Dordrecht, The Netherlands, pp. 113-130.
  4. Unser M, Aldroubi, Eden M. B-Spline, 1993. Signal processing: Part II - Efficient design and applications. IEEE Trans. Signal Proc.; 2: 834-83-1000.
  5. Gonzalez RC, and Woods RE, 1993. Digital image processing, Addison Wesley, Second Edition,
  6. G.K. Matsopoulos, K.K. Delibasis, N.A. Mouravliansky, P.A. Asvestas, K.S. Nikita, V.E. Kouloulias, N.K. Uzunoglu, 2003. CT-MRI Automatic Surface-based Registration Schemes Combining Global and Local Optimization Techniques, Technology and Health Care: Official Journal of the European Society for Engineering and Medicine, vol. 11, no. 4, pp. 219-232.
  7. Matsopoulos G.K., Delibasis K.K., Mouravliansky N., Nikita K.S, 2000. A Combination of Global and Elastic Transformations for the Automatic Medical Surface Registration. Scattering Theory and Biomedical Technology: Modelling and Applications. C.V. Massalas, G. Dassios, K. Kiriaki, D. Fotiades, A. Payatakes (Eds.), pp. 250-264, World Scientific Publishing Co., Inc., River Edge, NJ, USA (ISBN 981- 02-4391-X).
  8. Van den Elsen PA, Pol EJD, Viergever MA. 1993. Medical image matching-a review with classification. IEEE Engng Med Biol; 12: 26-39.
  9. G.C. Kagadis, K.K. Delibasis, G.K. Matsopoulos, N.A. Mouravliansky, P.A. Asvestas, G.C. Nikiforidis, 2002. A Comparative Study of Surface- and Volume-based Techniques for the Automatic Registration between CT and SPECT Brain Images, Medical Physics, vol. 29, no. 2, pp.201-213
  10. Maurer C. R., Fitzpatrick J. M., Wang M. Y., Galloway R. L., Maciunas R. J. and Allen G. G., 1997. Registration of head volume images using implentable fiducial markers, IEEE Trans. Med. Imag.; 16: 447-462.
  11. G.K. Matsopoulos, 2008. Automatic Correspondence Methods Towards Point-based Medical Image Registration: An Evaluation Study, Chapter 26, in “Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications”, edited by T. Exarchos, IGI Global publication, pp. 407-425, (ISBN (ISBN 978-3-540-78870-6).
  12. J. Gomes, L. Darsa, B. Costa, and L. Velho, 1998.
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Paper Citation


in Harvard Style

Faliagka E., Syrimpeis V., Tsakalidis A., Matsopoulos G., Tsaknakis J. and Tzimas G. (2010). DIAGNOSIS - A Global Alignment and Fusion Medical System . In Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010) ISBN 978-989-674-016-0, pages 21-28. DOI: 10.5220/0002695500210028


in Bibtex Style

@conference{healthinf10,
author={E. Faliagka and V. N. Syrimpeis and A. Tsakalidis and G. K. Matsopoulos and J. Tsaknakis and G. Tzimas},
title={DIAGNOSIS - A Global Alignment and Fusion Medical System},
booktitle={Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010)},
year={2010},
pages={21-28},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002695500210028},
isbn={978-989-674-016-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2010)
TI - DIAGNOSIS - A Global Alignment and Fusion Medical System
SN - 978-989-674-016-0
AU - Faliagka E.
AU - Syrimpeis V.
AU - Tsakalidis A.
AU - Matsopoulos G.
AU - Tsaknakis J.
AU - Tzimas G.
PY - 2010
SP - 21
EP - 28
DO - 10.5220/0002695500210028