An Intelligent Cloud Storage Gateway for Medical Imaging

Area of Science:

• Medical Imaging
• Cloud Computing
• Data Storage

Background:

• Traditional indoor infrastructures struggle with increasing medical imaging data volumes.
• Cloud platforms offer potential benefits but face challenges like communication latency.
• Medical imaging repositories require efficient and accessible data storage solutions.

Purpose of the Study:

• To propose an intelligent cloud storage gateway for medical imaging repositories.
• To optimize data access times and reduce communication latency.
• To improve the efficiency and performance of cloud-based medical imaging storage.

Main Methods:

• Developed a novel cache architecture for cloud storage gateways.
• Implemented a combination of static rules and pattern recognition for cache eviction and prefetching.
• Evaluated the system using a real-world medical imaging dataset.

Main Results:

• Achieved cache hit ratios of approximately 80%.
• Reduced image retrieval times by over 60%.
• Demonstrated significant reduction in communication latency even with small cache sizes.

Conclusions:

• The intelligent cloud storage gateway effectively optimizes data access times in medical imaging.
• The proposed cache architecture significantly reduces communication latency and improves retrieval performance.
• The system is adaptable to various institutional workflows, offering practical benefits for medical data management.