A multistage moving image data compression scheme for angiocardiography

This paper deals with the development of a new two stages image data compression scheme, suitable for transmission and storage of medical angiocardiography stream (moving) images. This scheme is implemented by constructing multi — frames (images) matrices and applying on them serially Predictive Coding (DPCM) and Transform Coding (Discrete Cosine Transform). Inside each stage the multi — frame data is divided in several groups which are processed in parallel providing a considerable reduction on saving data and compression — decompression processing time. The above technique has been applied and tested on real time dynamic analysis and diagnosis of the artery stenosis. It is noted that this scheme is applicable in medical workstations handling files or messages based on the ACR-NEMA or PAPYRUS formats.