0397176 20240903170627.420131112235959.9 000329259300006 Application of the random field theory in PET imaging - injection dose optimization 21 s. P cav_un_epca*02971630023-5954Kybernetika492 (2013)280-300Ústav teorie informace a automatizace AV ČR, v. v. i. random field theory Euler characteristic PET imaging PET image quality cav_un_auth*0273046 Dvořák Jiří Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101071 Boldyš Jiří Zpracování obrazové informace Department of Image Processing ZOI ZOI UTIA-B Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0278597 Skopalová M. CZ cav_un_auth*0214731 Bělohlávek O. CZ http://library.utia.cas.cz/separaty/2013/ZOI/boldys-0397176.pdf 1M0572 GA MŠk cav_un_auth*0001814 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. 2014 BD 4 4 A O 4a 4o 20231122135832.4 RVO:67985556 http://hdl.handle.net/11104/0225890 COMPUTERSCIENCECYBERNETICS 0.577 0.098 9.IV 0.00191 0.341 655 61 0.348 ScienceCitationIndexExpanded Q2 35.159 31.250 Q3 Q3 2013 Soubory v repozitáři: boldys-0397176.pdf, 0397176.pdf 000329259300006 WOS cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 49 č. 2 2013 280 300 Ústav teorie informace a automatizace AV ČR, v. v. i.