Comparison of lossless video and image compression codecs for medical computed tomography datasets
Vy Bui, Lin‐Ching Chang, Dunling Li, Li‐Yueh Hsu, Marcus Y. Chen · 2016
Modern multidimensional medical imaging technology produces very large amount of data especially from the computed tomography modality. These volumetric dataset opens new demands for big data storage and high-speed communication systems which may be alleviated by image compression techniques. Current image compression schemes adopted in the DICOM standard do not exploit the inter-slice correlation within three-dimensional (3D) dataset. Video compression may have a potential to improve the compression ratio by reducing the redundancy in volumetric medical images. In this paper, we compare the performance of five lossless video codecs (H264, H265, Lagarith, MSU, MLC) and three still-image codecs (JPEG, JPEG2000, JPEG-LS) using 3D medical computed tomography datasets. Performance evaluation shows that video codecs improve the compression ratio compared to JPEG and JPEG2000 while being competitive to JPEG-LS.