High Performance Angiogram Sequence Compression using 2D Bi-orthogonal Multiwavelet and Hybrid SPIHT-DEFLATE Algorithm

Digital Imaging and Communication (DICOM) files play a major role in diagnosis. Storage of DICOM files and transmission is a big challenge faced by researchers. Reducing the size of DICOM files will help us to reduce the cost of storage and transmission. This paper presents the high performance compression of Angiogram files using 2D-multiwavelet transform and SPIHT encoder. First, the angiogram DICOM file is converted into frames to apply 2D multiwavelet transform and then the resulting coefficients are encoded using the SPIHT encoder. Motion estimation and compensation cannot be performed on medical videos since it may distract the original diagnostic information. The compression algorithm is tested with coronary Angiogram video taken from GRUSELAMBIX-Standard DICOM file available in Osiris. The Qualitative analysis is done on the proposed algorithm to prove its efficiency. The proposed algorithm provides better PSNR and the Average User scale values shows that the medical diagnostic information is preserved through our proposed algorithm. The better compression ratio of the proposed algorithm will highly reduce the storage space and reduce the cost of transmission.