Paper
17 February 1995 New compression techniques for storage and transmission of 2D and 3D medical images
Aurel M. Vlaicu, Serban Lungu, Nicolae Crisan, Stelian Persa
Author Affiliations +
Abstract
Two new techniques for the compression of 2D and 3D medical images are proposed in the paper. Both algorithms are based on DCT transforms and the aim is to ensure a nearly lossless image transmission and storage with a compression rate able to reduce significantly the amount of data. The first technique, used for the storage of 2D medical images (microscope, radiographic, x-ray images, ultrasonic images, computer tomograph sections) is based on the extraction of a `region of interest' in the original image. In fact, in most situations, only a limited region of the medical image is interesting for diagnosis. For compression, a direct DCT is applied on the original image, preserving a different number of coefficients inside and outside the region of interest (must be higher inside the region). The compression ratio obtained with this method depends on the size of the selected region and on the number of DCT coefficients preserved, ranging from 4 to 20. The second technique is based on the correlation existing between contiguous axial sections obtained from the CT. The 3D volume data is compressed using an original axial section and the difference images between successive sections. The advantage of this method consists in reducing the number of DCT coefficients necessary for a nearly lossless compression of the difference images. The compression ratio obtained ranges between 6 nd 10, without significant losses in the image quality.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Aurel M. Vlaicu, Serban Lungu, Nicolae Crisan, and Stelian Persa "New compression techniques for storage and transmission of 2D and 3D medical images", Proc. SPIE 2451, Advanced Image and Video Communications and Storage Technologies, (17 February 1995); https://doi.org/10.1117/12.201220
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CITATIONS
Cited by 17 scholarly publications.
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KEYWORDS
Image compression

Medical imaging

Image storage

Image quality

3D image processing

X-ray computed tomography

X-rays

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