期刊名称:Facta universitatis - series: Electronics and Energetics
印刷版ISSN:0353-3670
电子版ISSN:2217-5997
出版年度:2016
卷号:29
期号:2
页码:233-241
DOI:10.2298/FUEE1602233J
出版社:University of Niš
摘要:The aim of our research was to develop an algorithm for estimation and visualisation of radiopharmaceutical uptake based on time-activity-curve (TAC) analysis in small regions of interest (ROI) in scintigraphic studies. The algorithm is implemented in Lab view environment (National Instruments, Texas, Austin) and comprises the following steps: 1) delineation of grid of small ROIs over the examined tissue and corresponding TAC processing; 2) background vs tissue separation; 3) the extraction of all “suspected“ ROIs where TACs are not exponentially descendent; 4) correlation analysis between a TAC corresponding to the central suspected ROI and TACs of neghboring ROIs; 5) the extraction of representative TAC for “suspected“ area by Principal Component Analysis technique; and 6) visual interpretation of radiopharmaceutical distribution in the “suspected“ area. The application of algorithm is presented in data recorded in case of histopathologically proven parathyroid tumors. [Projekat Ministarstva nauke Republike Srbije, br. 175016]
关键词:uptake; time activity curve; Principal Component Analysis; parathyroid tumor