Large-Scale Analysis of Medical Image Metadata

Abstract

This paper offers an ongoing exploration of the systematic analysis of Medical Image Metadata encoded using the Digital Imaging and Communications in Medicine (DICOM) standard. The paper carefully looks at the organization of diverse medical image data, the complex navigation of ethical considerations involving data authorization and anonymization and the subsequent intricate processing and metadata extraction procedures. The research is part of a larger project that aims to address the pressing need for radiologists in the Republic of Zambia. With only a limited number of trained radiologists available to serve a significant population, innovative solutions are urgently required. Simultaneously, this study explores the potential of streamlined medical imaging workflows through the application of enterprise imaging techniques. The paper is dedicated to providing detailed insights into the methodologies that support the execution of large-scale medical image metadata analysis. By capturing the collection of images from multiple sources, addressing ethical concerns for patient privacy and extracting metadata from DICOM files, this ongoing study continues to provide valuable insights into the refinement of medical imaging practices and the enhancement of clinical decision-making processes.