Lossless Compression – 3D Medical Images

Medical imaging methods like Magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), and single-photon emission CT (SPECT) produce volumes of three‐dimensional (3D) images obtained from generating several slices in a single examination. This massive amount of medical data calls for new lossless compression methods for efficient storage and transmission.

Researchers have developed an object‐based hybrid lossless compression technique for three‐dimensional (3D) medical images. Their approach utilizes two phases:

  1. Determining the volume of interest (VOI) for a given 3D medical imagery using selective bounding volume (SBV) method.
  2. Obtaining VOI encoded with a hybrid lossless algorithm using Lembel‐Ziv‐Welch Coding (LZW) followed by arithmetic coding (L to A).

Experimental results show that the proposed 3D medical image compression method is comparable with other existing standard lossless encoding methods such as Huffman Coding, Run Length Coding, LZW, and Arithmetic Coding. The method obtains superior results overall.

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