A Content Creation and Protection Scheme for Medical Images
Chen-Yu Lee, Deng-Jyi Chen

TL;DR
This paper introduces a novel scheme for creating and protecting medical images that ensures compatibility, usability, and privacy by integrating DICOM-compatible annotation and partial DRM for secure record transmission.
Contribution
It proposes a new medical-content creation and protection scheme combining DICOM-compatible annotation and partial DRM for secure medical image sharing.
Findings
Supports secure medical image transmission with controlled access
Ensures compatibility with existing DICOM standards
Enhances privacy and usability of medical images
Abstract
Medical images contain metadata information on where, when, and how an image was acquired, and the majority of this information is stored as pixel data. Image feature descriptions are often captured only as free text stored in the image file or in the hospital information system. Correlations between the free text and the location of the feature are often inaccurate, making it difficult to link image observations to their corresponding image locations. This limits the interpretation of image data from a clinical, research, and academic standpoint. An efficient medical image protection design should allow for compatibility, usability, and privacy. This paper proposes a medical-content creation and protection scheme that contains a) a DICOM-compatible multimedia annotation scheme for medical content creation; b) a DICOM-compatible partial DRM scheme for medical record transmission under…
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Taxonomy
TopicsAI in cancer detection · Digital Imaging in Medicine · Radiomics and Machine Learning in Medical Imaging
