Performance of DICOM Data De-identification Process in a Single Board Computer

Abstract

Abstract This work focused on testing the Raspberry Pi device’s performance with the MIRC CTP application, developed by RSNA. The application could de-identify medical image data. The medical images tested in this research were using the DICOM standard. The results have shown that the average data processing time for 100 DICOM files in CT modality was roughly 0.5 seconds per images. Meanwhile, the tests obtained an average of three images per seconds when more extensive data with average size of 132 KB were transferred, using 1000, 5000, and 10000 files, respectively. It was shown that the installation of the RSNA CTP in the Raspberry Pi device is not complicated. Furthermore, the transfer results demonstrated that the device could be used in the medical image data de-identification, specifically in image data sharing