This paper presents a comparison of model based on the Gauss function and the most commonly used Gamma-variate model in perfusion computed tomography (pCT) lung studies. It also verifies whether used model affects value of blood volume parameter. Three mean concentration-time curves were created from actual pCT measurements: arterial input function, blood vessels in lungs and lung parenchyma. On the basis of these mean curves we simulated 1000 concentration-time curves for each type of tissue. We used the Akaike information criterion to evaluate the models. Neither of the compared models showed a clear advantage over the other. The Gauss function showed ability to robust fit to datasets and there is no need to determine experimentally the arrival time. The main conclusion is that the Gauss function can be used as alternative to Gamma-variate function in modelling flow of tracer in lungs pCT.
Autorzy
- Maciej Browarczyk link otwiera się w nowej karcie ,
- Seweryn Lipiński
Informacje dodatkowe
- Kategoria
- Aktywność konferencyjna
- Typ
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Język
- angielski
- Rok wydania
- 2014
Źródło danych: MOSTWiedzy.pl - publikacja "Rating mathematical models for first-pass of tracer in pCT lung studies" link otwiera się w nowej karcie
