Rapid Execution of Fan Beam Image Reconstruction Algorithms Using Efficient Computational Techniques and Special-Purpose Processors

Barry K. Gilbert, Surender K. Kenue, Richard A. Robb, Aloysius Chu, Arnold H. Lent, Earl E. Swartzlander

Research output: Contribution to journalArticle

14 Scopus citations

Abstract

Rapid advances during the past ten years of several forms of computer-assisted tomography (CT) have resulted in the development of numerous algorithms to convert raw projection data into crosssectional images. These reconstruction algorithms are either “iterative,” in which a large matrix algebraic equation is solved by successive approximation techniques; or “closed form.” Continuing evolution of the closed form algorithms has allowed the newest versions to produce excellent reconstructed images in most applications. This paper will review several computer software and special-purpose digital hardware implementations of closed form algorithms, either proposed during the past several years by a number of workers or actually implemented in commercial or research CT scanners. The discussion will also cover a number of recently investigated algorithmic modifications which reduce the amount of computation required to execute the reconstruction process, as well as several new special-purpose digital hardware implementations under development in our laboratories at the Mayo Clinic.

Original languageEnglish (US)
Pages (from-to)98-116
Number of pages19
JournalIEEE Transactions on Biomedical Engineering
VolumeBME-28
Issue number2
DOIs
StatePublished - Feb 1981

ASJC Scopus subject areas

  • Biomedical Engineering

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