C. Yiannakkaras, I. Chrysanthou-Baustert, O. Demetriadou, Y. Parpottas, S. Christofides, C. Costantinou, D. Kaolis
Nuclear Medicine, Nicosia General Hospital, Nicosia, Cyprus
Introduction: Nuclear cardiology imaging using SPECT systems is currently used as a common daily routine diagnostic tool. Converting raw data into diagnostic images as well as other diagnostic parameters constitutes a complicated process that involves numerous acquisition, reconstruction and processing parameters. Hence, the effect of each individual parameter, and further, the clinical relevance of different combinations of parameters need to be investigated in order to determine the most appropriate combination for a particular setting (i.e. acquisition, reconstruction and processing hardware and software). This work aims at developing a software tool that is able to store and analyze data acquired using a cardiac phantom and able to simulate different myocardial perfusion pathologies. This data represents cardiac SPECT and GATED SPECT imaging techniques recording acquisition, reconstruction and processing parameters involved in every step of the process.
Materials and Methods: All recorded data are hosted in a database written on SQL Server 2008 R2. During the first step, data entry forms have been designed in. NET framework using Visual Basic and Visual C#. The data entry forms have been designed so as to meet particular requirements. Apart from following the image acquisition, reconstruction, processing and reporting order so that the user is able to record the data in an ergonomic and failsafe manner, we have determined and used common entries for different imaging systems and commercial cardiac post processing packages. Additionally, we have included entries for a typical physician report. To achieve this, we have used imaging system manuals as well as EANM/ESC and ASNC imaging guidelines. The data presentation and analysis interface is designed using Visual Basic Applications (VBA) in Excel. Through the VBAs, data filtering and analysis tools have been constructed according to physicians’ preferences to automatically present the data in a comprehensive flexible and ergonomic manner to the researcher.
Results: We have managed to design a software tool able to store and analyze data from different SPECT imaging systems in a consistent and structured manner. The system is further designed to accommodate differences or imaging protocols across systems, staff members or departments. A data retrieval presentation analysis module connected to our database is designed to offer the flexibility and speed to access and analyze data and produce results for this research. Furthermore, as data will be continuously added to the database the results will be continuously refined as a larger number of patients or phantom studies are added.
Conclusions: We have designed a database combined with a custom data manipulation interface that has the potential to become a valuable tool for researching best procedures in MPI, for training new staff in all aspects of MPI, for comparison between imaging systems as well as for further clinical research relative to MPI and coronary angiography.
Future Work: Apart from storing and analyzing cardiac phantom acquisition reconstruction and processing data our custom software tool will be expanded to accommodate patient data that will enable combined evaluation of MPI and angiography results.
