Wavelet-based compression with ROI coding support for mobile access to DICOM images over heterogeneous radio networks

Area of Science:

• Medical Imaging
• Image Compression
• Mobile Computing

Background:

• Commercial medical image viewers lack scalable compression and region of interest (ROI) encoding/decoding.
• Existing viewers do not address the needs of heterogeneous radio settings with diverse access technologies (GPRS/UMTS, WLAN, DVB-H).

Purpose of the Study:

• To develop a medical application with a DICOM image viewer core.
• To enable scalable wavelet-based compression, retrieval, and decompression of DICOM images.
• To support ROI coding/decoding for mobile devices in heterogeneous radio environments.

Main Methods:

• Implementation of a DICOM image viewer application.
• Integration of scalable wavelet compression and ROI coding/decoding.
• Testing in a prototype heterogeneous system setup.

Main Results:

• The proposed application successfully enables scalable compression and ROI processing for DICOM images.
• The viewer is suitable for mobile devices operating in heterogeneous radio settings.
• Performance aspects were evaluated in a prototype heterogeneous system.

Conclusions:

• The developed medical application offers advanced features for DICOM image handling.
• It provides a scalable and efficient solution for mobile medical imaging in diverse network conditions.