ARITHMETIC FOR ULTRA-HIGH-SPEED TOMOGRAPHY.

Earl E. Swartzlander, Barry Kent Gilbert

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

The first of a new generation of high performance X-ray computed tomographic (CT) machines, the Dynamic Spatial Reconstructor, imposes a requirement for digital signal processing rates which are 3-4 orders of magnitude greater than the capability of current X-ray computed tomography processors. To solve the large-scale computational problems for this and similar CT units which are currently under development, three candidate arithmetic implementations of ultra-high-speed convolutional filtering and weighted liner summation algorithms have been developed and compared. Since both convolution and weighted summation are performed via the inner product operation, which is the basis for most digital signal processing algorithms, the results are widely applicable.

Original languageEnglish (US)
Pages (from-to)341-353
Number of pages13
JournalIEEE Transactions on Computers
VolumeC-29
Issue number5
StatePublished - May 1980

Fingerprint

Tomography
Digital signal processing
Summation
Signal Processing
High Speed
X-ray Tomography
X rays
Computed Tomography
Convolution
Scalar, inner or dot product
Filtering
High Performance
Unit
Requirements

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

Cite this

ARITHMETIC FOR ULTRA-HIGH-SPEED TOMOGRAPHY. / Swartzlander, Earl E.; Gilbert, Barry Kent.

In: IEEE Transactions on Computers, Vol. C-29, No. 5, 05.1980, p. 341-353.

Research output: Contribution to journalArticle

Swartzlander, EE & Gilbert, BK 1980, 'ARITHMETIC FOR ULTRA-HIGH-SPEED TOMOGRAPHY.', IEEE Transactions on Computers, vol. C-29, no. 5, pp. 341-353.
Swartzlander, Earl E. ; Gilbert, Barry Kent. / ARITHMETIC FOR ULTRA-HIGH-SPEED TOMOGRAPHY. In: IEEE Transactions on Computers. 1980 ; Vol. C-29, No. 5. pp. 341-353.
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