Creating a resource for image analyses on vendor neutral projection data in SCAPIS

Purpose and goal: ** Denna text är maskinöversatt **

In the large Swedish population study SCAPIS (www.scapis.org), extensive imaging has been performed on 30,000 participants. Surveys are done with computed tomography and images saved as regular images (DICOM) as well as raw data. The project aimed to explore whether we can export the raw data stored from SCAPIS computed tomography examinations and convert the raw data into an open format for research purposes (prediction of heart disease).

Expected results and effects: ** Denna text är maskinöversatt **

The result is that this amount of data is extremely difficult to manage and convert to a general format. It would then have a value for research in image reconstruction for future development of computed tomography. However, the value is limited by the fact that the collection is done with the elderly technology. The hope that information in the images could be used to improve prediction could not be verified.

Approach and implementation: ** Denna text är maskinöversatt **

In the project we have collaborated with Siemens, Germany (Sebastian Faby), Stanford University (Prof Adam Wang) and Mayo Clinic (Prof Yu Lifeng)). We have received software for exporting and analyzing raw data files. We have had support from medical physics and information technology).

Prof Magnus Båth) at Sahlgrenska for database management and sorting of image information In addition to tests of data management, important expert discussions have taken place between the above stakeholders and experts in the field.