Digital Storage Compression For Diagnostic Images

M. J. Flynn; J. S. Newman; R. M. Mares

doi:10.1117/12.931825

16 July 1981 Digital Storage Compression For Diagnostic Images

M. J. Flynn, J. S. Newman, R. M. Mares

Proceedings Volume 0273, Application of Optical Instrumentation in Medicine IX; (1981) https://doi.org/10.1117/12.931825
Event: Application of Optical Instrumentation in Medicine, 1981, San Francisco, United States

Abstract

The compression of the digital information in a diagnostic image allows data to be stored in a smaller memory. This directly effects the cost and performance of computerized diagnostic imaging systems. Predictive compression (PC) combined with variable length coding (VLC) can achieve image compression with no alteration of the image element values. PC uses the values of neighboring, or previously transmitted, picture elements to predict a value for the next picture element. The difference between the prediction and the actual pixel value is then stored, in lieu of the actual pixel value. VLC techniques allow the differential signal to be encoded so that values which occur most frequently are stored with as little as one binary bit. The use of PC and VLC reduces the number of bits required to store an image. We have determined the compression factor (original/compressed bits per image) associated with five linear PC algorithms encoded with six VLC techniques for Ultrasound, Nuclear Medicine, Computed Tomography and Digital Roentgenographic images. The results allow us to identify PC and VLC algorithms most suitable for diagnostic imaging. Compression factors between 1.5 and 4 are achievable with simple algorithms.

Citation Download Citation

M. J. Flynn, J. S. Newman, and R. M. Mares "Digital Storage Compression For Diagnostic Images", Proc. SPIE 0273, Application of Optical Instrumentation in Medicine IX, (16 July 1981); https://doi.org/10.1117/12.931825

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available