The improved Newton-Raphson method and its parallel implementation for static impedance imaging

Eung Je Woo, John G. Webster, Willis J. Tompkins

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Citations (Scopus)

Abstract

Static image reconstruction in electrical impedance tomography (EIT) using iterative algorithms requires a large computation time. An improved Newton-Raphson (N-R) method which is more efficient, more robust, and easily parallelizable has been developed. In order to check the feasibility of parallel computation in EIT, the algorithm was implemented on a parallel computer system. The results show a reduction in the computation time within a certain limit as the number of processors is increased. It is concluded that the improved method is highly parallelizable and the use of parallel computers such as transputers may solve the computational problems in the static impedance imaging.

Original languageEnglish
Title of host publicationBiomedical Engineering Perspectives
Subtitle of host publicationHealth Care Technologies for the 1990's and Beyond
PublisherPubl by IEEE
Pages102-103
Number of pages2
Editionpt 1
ISBN (Print)0879425598
Publication statusPublished - 1990
EventProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Philadelphia, PA, USA
Duration: 1 Nov 19904 Nov 1990

Publication series

NameProceedings of the Annual Conference on Engineering in Medicine and Biology
Numberpt 1
ISSN (Print)0589-1019

Conference

ConferenceProceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityPhiladelphia, PA, USA
Period1/11/904/11/90

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