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Tytuł artykułu

Comparison of different SPECT images analysis methods for inter-hemispheric asymmetry detection in patients with epileptic symptoms

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Języki publikacji
EN
Abstrakty
EN
The aim of this work was examination of asymmetries in activity of the left and right cerebral hemispheres as well as localization and contouring of the regions of reduced or increased activity on the basis of single photon emission computed tomography (SPECT) images. The mean and standard deviation of normalized intensities inside the contoured areas of images, entropy based on intensity histograms and Chen's fractal dimension were calculated.
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autor
autor
  • Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, ul. Ks. Trojdena 4, 02-109 Warsaw, Poland, eolejarczyk@ibib.waw.pl
Bibliografia
  • 1. Warwick J.M.: Imaging of brain function using SPECT. Metab. Brain. Dis. 2004 Jun, 19(1-2), 113-123.
  • 2. Aubert-Broche B., Jannin P., Biraben A., Bernard A.M., Haegelen C., Le Jeune F.P., Gibaud B.: Evaluation of methods to detect interhemispheric asymmetry on cerebral perfusion SPECT: application to epilepsy. J. Nucl. Med. 2005 Apr, 46(4), 707-713.
  • 3. Takano A., Shiga T., Kobayashi J., Adachi I., Nakamura F., Koyama T., Katoh C., Morita K., Tsukamoto E., Tamaki N.: Thalamic asymmetry on interictal SPECT in patients with frontal lobe epilepsy. Nucl. Med. Commun. 2001 Mar, 22(3), 319-324.
  • 4. Aubert-Broche B., Grova C., Jannin P., Buvat I., Benali H., Gibaud B.: Detection of inter-hemispheric asymmetries of brain perfusion in SPECT. Phys. Med. Biol. 2003 Jun 7, 48(11), 1505-1517.
  • 5. Kovalev V.A., Thurfjell L., Lundqvist R., Pagani M.: Asymmetry of SPECT perfusion image patterns as a diagnostic feature for Alzheimer's disease. Med. Image Comput. Assist. Interv. Int. Conf. 2006, 9(Pt 2), 421-428.
  • 6. Olejarczyk E., Przytulska M.: Analysis of differences between SPECT images of the left and right cerebral hemispheres in patients with epileptic symptoms. Biosignals 2008 International Conference on Bio-inspired Systems and Signal Processing, 28-31 January 2008, Funchal, Madeira - Portugal.
  • 7. Pruszyński B.: Radiology. Image diagnostics RTG, TK, USG, MR and radioisotopes (in Polish), PZWL, Warszawa 2006.
  • 8. Russ J.C.: Image processing handbook. 2nd edition. CRC Press, Boca Raton, Ann Arbor, London 1995.
  • 9. Shannon C.E.: A Mathematical Theory of communication. The Bell System Technical Journal, 1948, 27, 379-423, 623-659.
  • 10. Kuczyński K., Mikołajczyk P.: Adjustment and segmentation of medical images based on elements of information theory (in Polish). XIII Krajowa Konferencja Naukowa Biocybernetyka i Inżynieria Biomedyczna, Gdańsk, 2003, 806-811.
  • 11. Chen C., Daponte J., Fox M.: Fractal feature analysis and classification in medical imaging. IEEE Trans. Med.. Imaging, 1989, 8, 133-142.
  • 12. Oczeretko E.S.: Fractal dimension in biomedical signal and image analysis (in Polish), Wydawnictwo Uniwersytetu w Białymstoku, Białystok 2006.
  • 13. Kuikka J.T. et al.: Imaging the structure of the striatum: a fractal approach to SPECT image interpretattion. Physiol. Meas., 19, 1998, 367-374.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ1-0048-0003
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