Development of database software that integrates information for PET/CT examination-New function for calculating two noise equivalent count (NECpatient & NECdensity)-

2030 Objectives: The comprehensive management of information about radioactivity, CT dose and image quality is important for the optimization of PET/CT examination. Image quality in PET/CT is commonly controlled by noise equivalent count (NEC). The purpose of this effort was to develop application software that automatically builds a database for PET / CT examination including information on image quality for each patient. Methods: The injected radioactivity is sent from an injector to the database through DICOM R-RDSR protocols. Similarly, CT images and PET images also are transmitted from the PET / CT scanner to the database.The software (development codename: “onti” RYUKYU-ISG) integrates these pieces of information and calculates NECpatient and NECdensity from PET images. The scanner and the automatic injector used in this evaluation were Discovery iQ (GE Healthcare) and AI300 (Sumitomo Heavy Industries, Ltd.). A demonstration study was conducted using 61 test patient data with all values known. Results: “onti” accurately received information about the injected radioactivity, CT dose indices, and PET image from the injector and PET/CT scanner. “onti” automatically was calculated NECpatient using the extracted factor and semi-automatically was calculated NECdensity by deleting images including brain and bladder. Body mass index was correlated with NECpatient (R^2=0.56, P Conclusions: We have successfully developed new database software that provides an environment that can seamlessly handle the information about injected radioactivity, CT dose indices and NECpatient and NECdensity which is an image quality indicator.