ABSTRACT
The DICOM medical imaging (MI) standard aids in sharing imageries across healthcare applications. The JPEG 2000 extends JPEG for therapeutic imaging relying on a Discrete Transformation along with wavelets. Nevertheless, JPEG 2000 is extremely unapt to encode certain visual arrangements and render good-quality 3D reconstruction. This paper analyzes the High-Efficiency Video Coding (HEVC) for 3D MI compressions, such as MRI, CT, and angiography, which currently relies mostly on blocks of pixels. Voxels can be obtained at the end-user side from already encoded sliced images to render 3D shapes, i.e., slice-to-volume S2V image registration. Extremely high-quality video enhancement with a reasonable rate-distortion function can result from HEVC. The HEVC codec can encode/decode or compress/decompress the target image. The encoder/compressor organizes the 3D object consisting of a collection of the image frames/slices for compaction of the object undergoing studies as a stream to be securely broadcasted. The decoder retrieves and decompresses the bitstream to obtain a succession of decoded shapes. Available experiments on 3D medical databases and the corresponding by-products can be compared concerning several metrics.
