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An Introduction to Iterative Reconstruction.
Article N° AJ18-6
Brian F Hutton
Department of Medical Physics and Department of Nuclear Medicine Ultrasound, Westmead Hospital
Correspondence:
Department of Medical Physics and Department of Nuclear Medicine Ultrasound, Westmead Hospital, Sydney, NSW 2145, Australia Email: nbh@imag.wsahs.nsw.gov.au Profession: Medical Physicist
Cita/Reference:
Hutton, Brian F. An Introduction to Iterative Reconstruction. Alasbimn Journal 5(18): October 2002. Article N° AJ18-6.
Summary
Most people are familiar with filtered back projection and the associated filtering necessary to reconstruct data in emission tomography.However,filtered back projection has some limitations,particularly when there is need to incorporate accurate attenuation correction.The alternative is to adopt an iterative reconstruction technique, which more readily can incorporate attenuation correction as well as having attractive noise properties.The objective of this paper is to present basic concepts with emphasis on maximum likelihood reconstruction.The availability of acceleration techniques has enhanced the applicability of iterative techniques in clinical practice.
Key words:tomographic reconstruction, iterative reconstruction, maximum likelihood, OSEM.
Introduction
Although filtered back projection (FBP) gained popularity as a very fast reconstruction technique there are limitations in the image quality produced. To a large extent this is due to the back projection process and the necessary filtering, which accentuates noise and can result in streak artefacts. An alternative to FBP is to use iterative reconstruction.Maximum likelihood (ML) reconstruction is now commonly available from commercial suppliers and therefore familiarity with iterative reconstruction techniques is necessary. In this paper the concepts of iterative reconstruction are discussed,deliberately avoiding the mathematical detail.The objective is to provide an intuitive understanding of t
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