Pregled bibliografske jedinice broj: 71695
3-D quantitative analysis of brain SPECT images
3-D quantitative analysis of brain SPECT images // Medical Imaging 2001; Image processing / Sonka, Milan; Hanson, Kenneth M. (ur.).
San Diego (CA): The Society of Photo-Optical Instrumentation Engineers, 2001. str. 1689-1695 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 71695 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
3-D quantitative analysis of brain SPECT images
Autori
Lončarić, Sven ; Češković, Ivan ; Lončarić, Srećko ; Petrović, Ratimir
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Medical Imaging 2001; Image processing
/ Sonka, Milan; Hanson, Kenneth M. - San Diego (CA) : The Society of Photo-Optical Instrumentation Engineers, 2001, 1689-1695
Skup
Medical Imaging 2001
Mjesto i datum
San Diego (CA), Sjedinjene Američke Države, 19.02.2001. - 22.02.2001
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
deformable model; level-set algorithm; image segmentation; SPECT
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika