Title :
3D multifractal analysis: Application for epilipsy detection in spect imaging
Author :
Lopes, Roseli ; Makni, N. ; Viard, R. ; Steinling, M. ; Maouche, Salah ; Betrouni, N.
Author_Institution :
Inserm, CHRU, Lille
Abstract :
In medical imaging, many texture analysis methods were studied with different degrees of effectiveness. These last years, works showed the usefulness of the fractal geometry to characterize textures. The fractal dimension provides a global aspect of the texture, while the multifractal analysis provides a local and global aspect of the texture. In this study, we were interested in the detection of epileptic fit sources on brain SPECT images. The detection problem is formulated as a 3D multifractal analysis scheme. The first results obtained on a base of 5 patients show that this method can be effective for this application.
Keywords :
biology computing; brain; fractals; image texture; single photon emission computed tomography; 3D multifractal analysis; brain SPECT imaging; epilipsy detection; fractal dimension; single photon emission computed tomography; texture analysis methods; textures; Biomedical imaging; Epilepsy; Fractals; Gabor filters; Geometry; Hospitals; Image analysis; Image texture analysis; Nuclear medicine; Pathology; 3D mutlifractal analysis; SPECT imaging; detection; epilepsy;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-2002-5
Electronic_ISBN :
978-1-4244-2003-2
DOI :
10.1109/ISBI.2008.4541217