Expandable computed-tomography architecture for nondestructive inspection

Iskender Agi; Paul J. Hurst; K. Wayne Current

doi:10.1117/12.142903

1 April 1993 Expandable computed-tomography architecture for nondestructive inspection

Iskender Agi, Paul J. Hurst, K. Wayne Current

Proceedings Volume 1824, Applications of Signal and Image Processing in Explosives Detection Systems; (1993) https://doi.org/10.1117/12.142903
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

Abstract

The Radon transform and its inverse, commonly used for computed tomography (CT), are computationally burdensome for single processor computers. Since projection-based computations are easily executed in parallel, multiprocessor architectures have been proposed for high-speed operation. In this paper, we describe an architecture for a high-speed (30 MHz raster-scan image data rate), high accuracy (12-bits per pixel) computed-tomography system for use in non-destructive inspection system. This architecture reconstructs images from fan- or parallel-beam data using either single-pass or iterative reconstruction techniques. Our architecture uses a number of identical processor modules in a pipeline. Each processor module consists of memory for data storage, a commercially available digital signal processing (DSP) chip for filtering, and our custom IC which performs 450 million mathematical operations per second (MOPS). This architecture can reconstruct CT images as large as 1024 X 1024 pixels from a variety of image reconstruction algorithms. The details of the implementation and performance of our expandable architecture are discussed.

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Iskender Agi, Paul J. Hurst, and K. Wayne Current "Expandable computed-tomography architecture for nondestructive inspection", Proc. SPIE 1824, Applications of Signal and Image Processing in Explosives Detection Systems, (1 April 1993); https://doi.org/10.1117/12.142903

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KEYWORDS

Radon transform

Image filtering

Digital signal processing

Clocks

Image processing

Computer architecture

CT reconstruction

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