A Volume of Medical Images Reconstruction on GPGPU Environment

An image before visualization the volume of data sets has to be decompressed because that has to be stored in the compressed format, so every medical imaging system must adopt a compression technique. The process of decompression takes a long time, so we are introducing a boosting method for medical volume decompression using General-Purpose Graphics Processing Units (GPGPU). This is supposed to use parallel processing on GPU architecture owing to that it's acquired less time for decompression. We improved the decompression method by introducing the Embedded Zero-tree Wavelet (EZW) technique to render the volume of images on the GPU environment. Finally, this method allows selective decompression in an alignment with the restore volume visualization and volume of additional decompression through it to obtain a better performance.