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Application of the random field theory in PET imaging - injection dose optimization

SYSNO ASEP	0397176
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve WOS
Title	Application of the random field theory in PET imaging - injection dose optimization
Author(s)	Dvořák, Jiří (UTIA-B)_RID Boldyš, Jiří (UTIA-B)_RID Skopalová, M. (CZ) Bělohlávek, O. (CZ)
Number of authors	4
Source Title	Kybernetika. - : Ústav teorie informace a automatizace AV ČR, v. v. i. - ISSN 0023-5954 Roč. 49, č. 2 (2013), s. 280-300
Number of pages	21 s.
Publication form	Print - P
Language	eng - English
Country	CZ - Czech Republic
Keywords	random field theory ; Euler characteristic ; PET imaging ; PET image quality
Subject RIV	BD - Theory of Information
R&D Projects	1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
Institutional support	UTIA-B - RVO:67985556
UT WOS	000329259300006
Annotation	This work presents new application of the random field theory in medical imaging. Results from both integral geometry and random field theory can be used to detect locations with significantly increased radiotracer uptake in images from positron emission tomography (PET). The assumptions needed to use these results are verified on a set of real and simulated phantom images. The proposed method of detecting activation (locations with increased radiotracer concentration) is used to quantify the quality of simulated PET images. Dependence of the quality on the injection dose (amount of applied radiotracer) and patient’s body parameters is estimated. It is used to derive curves of constant quality determining the injection dose needed to achieve desired quality of the resulting images. The curves are compared with the formula currently used in medical practice.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2014

Number of the records: 1