CRApr 13, 2015

A Content Creation and Protection Scheme for Medical Images

arXiv:1504.03385v1
AI Analysis

This addresses a domain-specific issue for medical professionals and researchers by improving annotation accuracy and privacy in medical image handling, though it appears incremental as it builds on existing DICOM standards.

The paper tackles the problem of inaccurate linking between free-text annotations and image locations in medical images, which limits clinical and research interpretation, by proposing a DICOM-compatible scheme for annotation and partial DRM that enables authorized access control during transmission.

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 this scheme, authorized users can view only information to which they have been granted to access.

Foundations

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