Adaptive Medical Image Storage Optimization Framework

Create a specialized database storage solution for medical imaging that dynamically compresses and optimizes DICOM image storage using intelligent compression algorithms. Develop a Node.js microservice that can automatically detect image type, apply appropriate compression, maintain diagnostic quality, and generate efficient retrieval indexes. Include adaptive storage tiering that moves less frequently accessed medical images to cost-effective storage while maintaining rapid access.