Cornejo-Aragón Luz G, Santos-Cuevas Clara L, Ocampo-García Blanca E, Chairez-Oria Isaac, Diaz-Nieto Lorenza, García-Quiroz Janice
1Instituto Nacional de Investigaciones Nucleares (ININ), 52750 Ocoyoacac, Estado de México Mexico.
2Facultad de Medicina, Universidad Autónoma del Estado de México, 50180 Toluca, Estado de México Mexico.
J Med Biol Eng. 2017;37(6):887-898. doi: 10.1007/s40846-017-0250-4. Epub 2017 Jun 19.
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.
本研究的目的是基于X射线和放射性同位素图像提供的同步信息,开发一种半自动图像处理算法(AIPA),通过对小鼠模型中图像辐射活性的量化来确定Tc-99m放射性药物的生物动力学模型。这些放射性同位素图像是在临床前多模态成像系统(Xtreme,布鲁克)中,通过与超薄磷屏耦合的CCD(电荷耦合器件)相机获得的。AIPA由用于活性定量的背景、散射和衰减校正的不同图像处理方法组成。使用一组参数识别算法来获得表征不同组织与研究中所考虑的放射性药物之间相互作用的生物动力学模型。这组生物动力学模型与在不同离体研究中观察到的Tc-99m生物分布相对应。这一事实证实了本研究中开发的半自动图像处理技术的作用。