Iterative reconstruction: how it works, how to apply it

Research output: Contribution to journalArticle

7 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)431-439
Number of pages9
JournalPediatric Radiology
Volume44
Issue number3
DOIs
StatePublished - 2014

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X Ray Computed Tomography
Statistical Models
Noise
Technology
Weights and Measures

Keywords

  • Computed tomography
  • CT reconstruction algorithms
  • Filtered back projection reconstruction
  • Image quality
  • Pediatric
  • Statistical iterative reconstruction

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Pediatrics, Perinatology, and Child Health

Cite this

Iterative reconstruction : how it works, how to apply it. / Seibert, J Anthony.

In: Pediatric Radiology, Vol. 44, No. 3, 2014, p. 431-439.

Research output: Contribution to journalArticle

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