CT datasets impose a heavy burden on hospital information systems for efficient transmission and long-term preservation of data. Lossless, or reversible compression, remains the safest method to reduce data size, according to Dr. Chang Ho Jeon of Seoul National University Bundang Hospital in South Korea.
Following up on prior research that developed a preprocessing technique to increase reversible compression ratios by 40% for thin-section transverse chest CT images via an increase in data redundancy, the study team modified the preprocessing technique to cover the varied 3D configurations of different body parts.
The researchers will also show how the preprocessing technique can be adapted to an enterprise PACS and yield a reduction of at least 24% in data size, Jeon said.
"The system resources required for data storage and transmission can be saved by using the preprocessing technique without concern about degradation of diagnostic information," he said.
