Data compression techniques for CT image archiving

Area of Science:

• Medical Imaging
• Computer Science
• Data Archiving

Background:

• Computed tomography (CT) generates large digital image files, posing storage and processing challenges.
• Archiving routine patient CT data incurs significant costs in computer time, technologist effort, and storage media.
• Limited on-line memory in CT disk systems necessitates compact file storage solutions.

Purpose of the Study:

• To introduce and evaluate compression techniques for CT image data.
• To reduce the tape storage requirements for archived CT images.
• To decrease the computer time associated with CT data archiving and retrieval.

Main Methods:

• Implementation of novel data compression algorithms tailored for CT image data.
• Application of these compression techniques to both tape-based archiving and CT disk systems.
• Quantitative analysis of file space reduction and processing time savings.

Main Results:

• Achieved typical reductions of 40% to 50% in original file space for CT image data.
• Demonstrated significant decrease in the amount of tape required for data storage.
• Reported substantial savings in computer processing time for data handling.

Conclusions:

• Data compression offers an effective solution to manage large CT image files.
• The developed techniques provide significant cost and efficiency benefits for CT data archiving.
• These compression methods are applicable to both traditional tape storage and modern disk-based systems.