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Digital medical images stored on Picture Archiving and Communication Systems (PACS) face storage limitations. This study proposes using cloud computing with anonymized data for scalable and cost-effective image storage.

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Area of Science:

  • Medical Imaging Informatics
  • Cloud Computing
  • Data Management

Background:

  • Digital medical imaging generates vast datasets, typically managed by Picture Archiving and Communication Systems (PACS).
  • PACS infrastructure is constrained by physical server space, limiting scalability.
  • Cloud computing offers scalable, cost-effective data storage solutions.

Purpose of the Study:

  • To address the storage limitations of PACS for digital medical images.
  • To propose a secure and scalable cloud-based storage solution for medical imaging data.
  • To develop a method for anonymizing medical images for public cloud storage.

Main Methods:

  • Extracting digital images from PACS.
  • Converting image file information into a NoSQL database.
  • Utilizing cloud computing for storing anonymized digital images.

Main Results:

  • A novel approach for migrating medical images from PACS to the cloud.
  • Implementation of a data anonymization mechanism for patient privacy.
  • Demonstration of a scalable and cost-efficient medical image storage solution.

Conclusions:

  • Cloud computing provides a viable alternative to PACS for medical image storage.
  • Anonymization is crucial for secure medical data storage in public clouds.
  • The proposed system enhances storage capacity and accessibility for medical imaging data.