Pregled bibliografske jedinice broj: 626725
Atlas construction for cardiac velocity profiles segmentation using a lumped computational model of circulatory system
Atlas construction for cardiac velocity profiles segmentation using a lumped computational model of circulatory system // Functional Imaging and Modeling of the Heart / Ourselin, Sebastien ; Rueckert, Daniel ; Smith, Nicolas (ur.).
London, Ujedinjeno Kraljevstvo: Springer, 2013. str. 89-96 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 626725 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Atlas construction for cardiac velocity profiles segmentation using a lumped computational model of circulatory system
Autori
Baličević, Vedrana ; Kalinić, Hrvoje ; Lončarić, Sven ; Čikeš, Maja ; Palau-Caballero, G. ; Tobon- Gomez, C. ; Bijnens, B.H.
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Functional Imaging and Modeling of the Heart
/ Ourselin, Sebastien ; Rueckert, Daniel ; Smith, Nicolas - : Springer, 2013, 89-96
ISBN
978-3-642-38898-9
Skup
7th International Conference on Functional Imaging and Modeling of the Hear
Mjesto i datum
London, Ujedinjeno Kraljevstvo, 20.06.2013. - 22.06.2013
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
atlas construction; image segmentation; cardiac outflow velocity profile; continuous wave Doppler; CircAdapt
Sažetak
Heart diseases are a leading cause of death worldwide, making a prompt and accurate diagnosis of cardiac functionality an important task. Recordings of cardiac outflow Doppler velocity profiles, obtained during an echocardiographic examination, are important to quantify hemodynamics and infer cardiac function. For automated segmentation and quantification of these images, a statistical atlas based approach has been proposed previously. Since acquiring a sufficient amount of data for an atlas can be a slow process in clinical practice and possibly result in a small and/or not representative dataset, we present an alternative approach for construction of the statistical atlas. This approach is based on simulating data from virtual patients, using a lumped computational model (CircAdapt), which incorporates knowledge of physiological processes in the human circulatory system under both normal and pathological conditions.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
036-0362214-1989 - Inteligentne metode obrade i analize slika (Lončarić, Sven, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Medicinski fakultet, Zagreb,
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