PMCCPMCCPMCC

Search tips
Search criteria 

Advanced

 
Logo of procascamcLink to Publisher's site
 
Proc Annu Symp Comput Appl Med Care. 1993 : 824–828.
PMCID: PMC2850684

Lossy compression in nuclear medicine images.

Abstract

The goal of image compression is to reduce the amount of data needed to represent images. In medical applications, it is not desirable to lose any information and thus lossless compression methods are often used. However, medical imaging systems have intrinsic noise associated to it. The application of a lossy technique, which acts as a low pass filter, reduces the amount of data at a higher rate without any noticeable loss in the information contained in the images. We have compressed images of nuclear medicine using the discrete cosine transform algorithm. The decompressed images were considered reliable for visual inspection. Furthermore, a parameter was computed from these images and no discernible change was found from the results obtained using the original uncompressed images.

Full text

Full text is available as a scanned copy of the original print version. Get a printable copy (PDF file) of the complete article (723K), or click on a page image below to browse page by page. Links to PubMed are also available for Selected References.

Selected References

These references are in PubMed. This may not be the complete list of references from this article.
  • Lo SB, Krasner B, Mun SK. Noise impact on error-free image compression. IEEE Trans Med Imaging. 1990;9(2):202–206. [PubMed]

Articles from Proceedings of the Annual Symposium on Computer Application in Medical Care are provided here courtesy of American Medical Informatics Association