Literature DB >> 8130593

Lossy compression in nuclear medicine images.

M S Rebelo1, S S Furuie, A C Munhoz, L Moura, C P Melo.   

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.

Mesh:

Year:  1993        PMID: 8130593      PMCID: PMC2850684     

Source DB:  PubMed          Journal:  Proc Annu Symp Comput Appl Med Care        ISSN: 0195-4210


  1 in total

1.  Noise impact on error-free image compression.

Authors:  S B Lo; B Krasner; S K Mun
Journal:  IEEE Trans Med Imaging       Date:  1990       Impact factor: 10.048

  1 in total
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Review 1.  Digital storage and retrieval: the future in echocardiography.

Authors:  J D Thomas
Journal:  Heart       Date:  1997-08       Impact factor: 5.994

  1 in total

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