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Published in: Pediatric Radiology 3/2014

01-10-2014 | Image Gently ALARA CT summit: How to Use New CT Technologies for Children

Iterative reconstruction: how it works, how to apply it

Author: James Anthony Seibert

Published in: Pediatric Radiology | Special Issue 3/2014

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Abstract

Computed tomography acquires X-ray projection data from multiple angles though an object to generate a tomographic rendition of its attenuation characteristics. Filtered back projection is a fast, closed analytical solution to the reconstruction process, whereby all projections are equally weighted, but is prone to deliver inadequate image quality when the dose levels are reduced. Iterative reconstruction is an algorithmic method that uses statistical and geometric models to variably weight the image data in a process that can be solved iteratively to independently reduce noise and preserve resolution and image quality. Applications of this technology in a clinical setting can result in lower dose on the order of 20–40% compared to a standard filtered back projection reconstruction for most exams. A carefully planned implementation strategy and methodological approach is necessary to achieve the goals of lower dose with uncompromised image quality.
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Metadata
Title
Iterative reconstruction: how it works, how to apply it
Author
James Anthony Seibert
Publication date
01-10-2014
Publisher
Springer Berlin Heidelberg
Published in
Pediatric Radiology / Issue Special Issue 3/2014
Print ISSN: 0301-0449
Electronic ISSN: 1432-1998
DOI
https://doi.org/10.1007/s00247-014-3102-1

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