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Proceedings Paper

Imaging Techniques Implemented On Pipeline Minis And An Array Processor With Application To Nerve Fiber Counting
Author(s): Harold G. Rutherford; Gary K. Frykman; S. Andrew Yakush; Ivan R. Neilsen
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Paper Abstract

A pipeline approach to processing of digitized picture data using multiple mini computers and an array processor is presented. Picture size can be up to 512 by 512 pixels. Implementing of many heuristic algorithms such as edge detection, edge enhancing, convolution/ correlation of template, peak detection, fast fourier transforms, filtering, summing, two pictures, registration, histogram equalization, thresholding and object counting, is determining and application is made to a nerve fiber counting project. The goals of the medical project are to provide data to be used in determing optimal surgical repair of injured or severed nerve and time scale as well as a percent of recovery of function following surgical repair. A simple operating system is described to invoke specific routines in the needed order in designated processors. Three approaches are discussed to the problem of image enhancement, pattern recognition and display of a picture consisting of multiple scenes or an object which is captured in the form of multiple "slices" through the object.

Paper Details

Date Published: 26 December 1979
PDF: 9 pages
Proc. SPIE 0206, Recent and Future Developments in Medical Imaging II, (26 December 1979); doi: 10.1117/12.958209
Show Author Affiliations
Harold G. Rutherford, Loma Linda University and DeAnza Systems, Inc. (United States)
Gary K. Frykman, Department of Orthopedic Surgery and Rehabilitation (United States)
S. Andrew Yakush, Loma Linda University (United States)
Ivan R. Neilsen, Lorna Linda University (United States)

Published in SPIE Proceedings Vol. 0206:
Recent and Future Developments in Medical Imaging II
David G. Brown; Stephen W. Smith, Editor(s)

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