DVTImagingBridge
Automating clinical image processing for seamless PACS integration.
A middleware solution that automates the conversion of clinical images to DICOM standards, bridging the gap between standard cameras and medical imaging systems.
Project Information
Client
Healthcare Clinics
Year
2025
Role
Core Development & Integration
Scope
- Python Development
- DICOM Integration
- Workflow Automation
Overview
Developed a middleware solution to automate the conversion of non-standard clinical images (dermatology, endoscopy) into DICOM 3.0 standard for integration with PACS systems.
The Challenge
Modern clinics use standard cameras and smartphones for clinical documentation, but central PACS systems only accept DICOM format. Doctors had to use separate software for different image types, leading to fragmented data and inefficient workflows.
The Solution
Built "DVT Image-to-DICOM Converter", a module that accepts various image formats (JPG, PNG) and automatically processes them using Python (Pydicom, NumPy). It maps patient metadata to DICOM tags and ensures 100% compatibility with PACS systems like Orthanc and dcm4chee.
Technology Stack
Core
- Python
- Pydicom
- NumPy
- Pillow
Standard
- DICOM 3.0
Integration
- RESTful API
Key Impact
Processed over 10,000+ images successfully. Eliminated manual printing and scanning workflows. Doubled the speed of patient record retrieval by centralizing data.
Input Processing
DICOM Viewer Integration
"Before this, managing dermatology images was a nightmare. DVT's solution allows us to see everything on one diagnostic screen. Extremely professional and time-saving!"
