Imaging Techniques Implemented On Pipeline Minis And An Array Processor With Application To Nerve Fiber Counting

Harold G. Rutherford; Gary K. Frykman; S. Andrew Yakush; Ivan R. Neilsen

doi:10.1117/12.958209

26 December 1979 Imaging Techniques Implemented On Pipeline Minis And An Array Processor With Application To Nerve Fiber Counting

Harold G. Rutherford, Gary K. Frykman, S. Andrew Yakush, Ivan R. Neilsen

Author Affiliations +

Proceedings Volume 0206, Recent and Future Developments in Medical Imaging II; (1979) https://doi.org/10.1117/12.958209
Event: 23rd Annual Technical Symposium, 1979, San Diego, United States

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.

Citation Download Citation

Harold G. Rutherford, Gary K. Frykman, S. Andrew Yakush, and Ivan R. Neilsen "Imaging Techniques Implemented On Pipeline Minis And An Array Processor With Application To Nerve Fiber Counting", Proc. SPIE 0206, Recent and Future Developments in Medical Imaging II, (26 December 1979); https://doi.org/10.1117/12.958209

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