Method for compressing DICOM images with bit-normalization and video CODECs

The constant increase in the volume of data generated by various medical modalities has generated discussions regarding the space needed for storage. Although the storage and network bandwidth costs are decreasing, medical data production grows faster, thus forcing an increase in spending. With the application of image compression and decompression techniques, such expectations and challenges overcoming can preserve all clinically relevant information. This research proposes and evaluates a method that combines an adaptive normalization for each DICOM slice and volume compression using a video CODEC. Similarity metrics results show that the best result achieved for these tests was the method combines the normalization function and the H264 using as parameters FPS 60, bitrate 120, with an image in PNG format, where SSIM and CC have the maximum value, PSNR has a high value and CR higher than competitors in the literature.