Privacy Issues in Medical Image Analysis
Prachi Natu, Shachi J. Natu, Upasana Agrawal · 2021
The development of new medical imaging systems has resulted in huge amounts of medical image data generation. This chapter aims to introduce briefly the techniques to maintain the privacy of medical images. Medical images collected via different modalities are stored as Digital Imaging and Communications in Medicine (DICOM) images, which is a worldwide accepted format. The chapter focuses on privacy protection methods for medical images, which include two major methods: Encryption-based and image anonymization. Ming Yang et al. proposed a technique for the privacy of medical images using encryption and encoding methods. Thus, the security and privacy capabilities of the DICOM Standard imply only a small piece of the total protection of privacy and protection against intrusion and the hijacking of medical data. Machine learning-based OCR mechanisms can be used to identify sensitive text data in medical image pixel data and anonymize it.