3-D quantitative analysis of brain SPECT images (CROSBI ID 481597)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Lončarić, Sven ; Češković, Ivan ; Lončarić, Srećko ; Petrović, Ratimir
engleski
3-D quantitative analysis of brain SPECT images
tomography angiography (CTA) images. Output data (3The main purpose of this work is to develop a computer-based technique for quantitative analysis of 3-D bra in images obtained by single photon emission computed tomography (SPECT). In particular, the volume and location of ischemic lesion and penumbra is important for early diagnosis and treatment of infarcted regions of the brain. SPECT imaging is typically used as diagnostic tool to assess the size and location of the ischemic lesion. The segmentation method presented in this paper utilizes a 3-D deformable model in order to determine size and location of the regions of interest. The evolution of the model is computed using a level-set implementation of the algorithm. In addition to 3-D deformable model the method utilizes edge detection and region growing for realization of a pre-processing. Initial experimental results have shown that the method is useful for SPECT image analysis.
deformable model; level-set algorithm; image segmentation; SPECT
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Podaci o prilogu
1689-1695-x.
2001.
objavljeno
Podaci o matičnoj publikaciji
Medical Imaging 2001; Image processing
Sonka, Milan; Hanson, Kenneth M.
San Diego (CA): The Society of Photo-Optical Instrumentation Engineers
Podaci o skupu
Medical Imaging 2001
poster
19.02.2001-22.02.2001
San Diego (CA), Sjedinjene Američke Države