ABC in Nuclear Imaging

Autor:	Arkadiusz Sitek, Yanan Fan, Steven R. Meikle, Georgios I. Angelis
Rok vydání:	2018
Předmět:	Response model Estimation theory Computer science Nuclear imaging Context (language use) Data mining Approximate Bayesian computation computer.software_genre computer Statistics::Computation
Zdroj:	Handbook of Approximate Bayesian Computation ISBN: 9781315117195
DOI:	10.1201/9781315117195-21
Popis:	We consider the application of approximate Bayesian Computation (ABC) in the context of medical imaging data. We consider the parameter estimation of compartmental models in PET imaging analysis, and provide a simple ABC algorithm for its estimation. We demonstrate the utility of the proposed estimation methods on a neurotransmitter response model, and compare our approach to existing methods.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::91443a219a2ce8d0de617e1dda402a86 https://doi.org/10.1201/9781315117195-21 Zobrazit plný text záznamu