Přejít na obsah

Detail publikace

Citace

Gebouský, P. : Bayesian quantitative lymphoscintigraphy of upper limbs . p. 119, University of West Bohemia, Faculty of Applied Sciences, Pilsen, Czech Republic, Plzeň, 2003.

Abstrakt

The dissertation focuses on the design and verification of a new methodology of quantitative lymphoscintigraphy of upper limbs. The proposed quantification is based on simplified Bayesian modelling of the radiotracer accumulation dynamics on the pre-specified regions of interest (ROI) on the limb. Bayesian decision theory in conjunction with the model is then employed to make inference useful to physicians. The whole time activity curve (TAC) is estimated and estimate uncertainty characterized. TAC forms the quantification basis and serves for construction of quantitative indicators that are expected to characterize lymphedema stages. The dissertation offers an efficient quantitative comparison of patient limbs so that suspicion on bad state of one of them can be reliably tested.

Abstrakt v češtině

The dissertation focuses on the design and verification of a new methodology of quantitative lymphoscintigraphy of upper limbs.

Detail publikace

Název: Bayesian quantitative lymphoscintigraphy of upper limbs
Autor: Gebouský, P.
Název - česky: Bayesian quantitative lymphoscintigraphy of upper limbs
Jazyk publikace: anglicky
Datum vydání: 6.10.2004
Rok vydání: 2003
Typ publikace: Vysokoškolská kvalifikační práce (dizertační, habilitační)
Strana: 119
Místo vydání: Plzeň
Datum: 6.10.2004 - 19.12.2003
Univerzita, škola: University of West Bohemia, Faculty of Applied Sciences, Pilsen, Czech Republic
/ /

Klíčová slova

Bayesian statistics, signal processing, quantitative lymphoscintigraphy, sparse data

Klíčová slova v češtině

Bayesian statistics, signal processing, quantitative lymphoscintigraphy, sparse data

BibTeX

@PHDTHESIS{GebouskyP_2003_Bayesianquantitative,
 author = {Gebousk\'{y}, P.},
 title = {Bayesian quantitative lymphoscintigraphy of upper limbs},
 year = {2003},
 address = {Plze\v{n}},
 pages = {119},
 school = {University of West Bohemia, Faculty of Applied Sciences, Pilsen, Czech Republic},
 url = {http://www.kky.zcu.cz/en/publications/GebouskyP_2003_Bayesianquantitative},
}