Project PI: Dr. Mohamed Shaheen
Project Team: Dr. Mohamed Kholief, and Dr. Amr El Azab
Research area: Healthcare services/ Medical Image Processing
This Project will help in fast and accurate diagnosis for medical images. It is targeting to limit and minimize user interaction needed to process segmentation. Reports are automatically generated metadata describing the images will be saved and accessed through web. After analysis of the 3D models, the generated reports can be saved to the patient medical records or integrated using medical standards like hl7.
This project supports teleradiology, which is the transmission of medical images from one location to another, a technology that is needed and currently is very expensive. There is still a lot of room for improvement and solving its accuracy, image quality, lossless image compression, and transmission speed problems. Focus on clinical governance, medico-legal issues and quality assessment should also be considered.
The project will also provide:
- Radiologist desktop tools for speed diagnosis and reporting.
- ·Cloud based server side image processing for tablet and mobile.
- Cloud based Web access for reports and images using html5 interface.
Archiving and retrieval system for old cases to help in statistical learning and educational purposes.