Successive binary algebraic reconstruction technique: An algorithm for reconstruction from limited angle and limited number of projections decomposed into individual components

Alia S. Khaled, Thomas J. Beck

Research output: Contribution to journalArticle

Abstract

Relatively high radiation CT techniques are being widely used in diagnostic imaging raising the concerns about cancer risk especially for routine screening of asymptomatic populations. An important strategy for dose reduction is to reduce the number of projections, although doing so with high image quality is technically difficult. We developed an algorithm to reconstruct discrete (limited gray scale) images decomposed into individual tissue types from a small number of projections acquired over a limited view angle. The algorithm was tested using projection simulations from segmented CT scans of different cross sections including mid femur, distal femur and lower leg. It can provide high quality images from as low as 5-7 projections if the skin boundary of the cross section is used as prior information in the reconstruction process, and from 11-13 projections if the skin boundary is unknown.

Original languageEnglish (US)
Pages (from-to)9-24
Number of pages16
JournalJournal of X-Ray Science and Technology
Volume21
Issue number1
DOIs
StatePublished - 2013

Fingerprint

Femur
Image quality
Skin
projection
Computerized tomography
Diagnostic Imaging
femur
Leg
Screening
Radiation
Tissue
Imaging techniques
Population
gray scale
cross sections
Neoplasms
screening
cancer
dosage
radiation

Keywords

  • algebraic reconstruction techniques (ART)
  • discrete tomography
  • Dual energy X-ray (DXA)
  • image reconstruction

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Condensed Matter Physics
  • Radiation
  • Electrical and Electronic Engineering
  • Instrumentation

Cite this

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