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Pregled bibliografske jedinice broj: 71695

3-D quantitative analysis of brain SPECT images


Lončarić, Sven; Češković, Ivan; Lončarić, Srećko; Petrović, Ratimir
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)


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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



POVEZANOST RADA


Projekti:
036024

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada

Citiraj ovu publikaciju:

Lončarić, Sven; Češković, Ivan; Lončarić, Srećko; Petrović, Ratimir
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)
Lončarić, S., Češković, I., Lončarić, S. & Petrović, R. (2001) 3-D quantitative analysis of brain SPECT images. U: Sonka, M. & Hanson, K. (ur.)Medical Imaging 2001; Image processing.
@article{article, author = {Lon\v{c}ari\'{c}, Sven and \v{C}e\v{s}kovi\'{c}, Ivan and Lon\v{c}ari\'{c}, Sre\'{c}ko and Petrovi\'{c}, Ratimir}, year = {2001}, pages = {1689-1695}, keywords = {deformable model, level-set algorithm, image segmentation, SPECT}, title = {3-D quantitative analysis of brain SPECT images}, keyword = {deformable model, level-set algorithm, image segmentation, SPECT}, publisher = {The Society of Photo-Optical Instrumentation Engineers}, publisherplace = {San Diego (CA), Sjedinjene Ameri\v{c}ke Dr\v{z}ave} }
@article{article, author = {Lon\v{c}ari\'{c}, Sven and \v{C}e\v{s}kovi\'{c}, Ivan and Lon\v{c}ari\'{c}, Sre\'{c}ko and Petrovi\'{c}, Ratimir}, year = {2001}, pages = {1689-1695}, keywords = {deformable model, level-set algorithm, image segmentation, SPECT}, title = {3-D quantitative analysis of brain SPECT images}, keyword = {deformable model, level-set algorithm, image segmentation, SPECT}, publisher = {The Society of Photo-Optical Instrumentation Engineers}, publisherplace = {San Diego (CA), Sjedinjene Ameri\v{c}ke Dr\v{z}ave} }




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