Paper
10 December 2021 Method for compressing DICOM images with bit-normalization and video CODECs
Marcos S. Oliveira, Luiz O. Murta-Junior
Author Affiliations +
Proceedings Volume 12088, 17th International Symposium on Medical Information Processing and Analysis; 1208807 (2021) https://doi.org/10.1117/12.2605118
Event: Seventeenth International Symposium on Medical Information Processing and Analysis, 2021, Campinas, Brazil
Abstract
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.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marcos S. Oliveira and Luiz O. Murta-Junior "Method for compressing DICOM images with bit-normalization and video CODECs", Proc. SPIE 12088, 17th International Symposium on Medical Information Processing and Analysis, 1208807 (10 December 2021); https://doi.org/10.1117/12.2605118
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KEYWORDS
Video

Image compression

Video compression

Image processing

Data storage

Magnetic resonance imaging

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