Open AccessPreclinical Biokinetic Modelling of Tc-99m Radiophamaceuticals Obtained from Semi-Automatic Image Processing
Author(s) -
Luz G. Cornejo-Aragón,
Clara Santos-Cuevas,
Blanca OcampoGarcía,
Isaac Chairez,
L Díaz,
Janice García-Quiroz
Publication year - 2017
Publication title -
journal of medical and biological engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.3
H-Index - 35
eISSN - 2199-4757
pISSN - 1609-0985
DOI - 10.1007/s40846-017-0250-4
Subject(s) - image processing , biodistribution , parametric statistics , attenuation , set (abstract data type) , charge coupled device , artificial intelligence , computer science , digital image processing , nuclear medicine , image (mathematics) , computer vision , biological system , pattern recognition (psychology) , chemistry , physics , mathematics , optics , medicine , statistics , biochemistry , in vitro , biology , programming language
The aim of this study was to develop a semi automatic image processing algorithm (AIPA) based on the simultaneous information provided by X-ray and radioisotopic images to determine the biokinetic models of Tc-99m radiopharmaceuticals from quantification of image radiation activity in murine models. These radioisotopic images were obtained by a CCD (charge couple device) camera coupled to an ultrathin phosphorous screen in a preclinical multimodal imaging system (Xtreme, Bruker). The AIPA consisted of different image processing methods for background, scattering and attenuation correction on the activity quantification. A set of parametric identification algorithms was used to obtain the biokinetic models that characterize the interaction between different tissues and the radiopharmaceuticals considered in the study. The set of biokinetic models corresponded to the Tc-99m biodistribution observed in different ex vivo studies. This fact confirmed the contribution of the semi-automatic image processing technique developed in this study.