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Influence of Adaptive Statistical Iterative Reconstruction on coronary plaque analysis in coronary computed tomography angiography

  • Helle Precht
  • , Pieter H. Kitslaar
  • , Alexander Broersen
  • , Jouke Dijkstra
  • , Oke Gerke
  • , Jesper Thygesen
  • , Kenneth Egstrup
  • University of Southern Denmark
  • Leiden University, PLATO
  • Odense University Hospital
  • Department of Clinical Engineering, Central Denmark Region

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Purpose: The purpose of this study was to study the effect of iterative reconstruction (IR) software on
quantitative plaque measurements in coronary computed tomography angiography (CCTA).
Methods: Thirty patients with a three clinical risk factors for coronary artery disease (CAD) had one CCTA
performed. Images were reconstructed using FBP, 30% and 60% adaptive statistical IR (ASIR). Coronary
plaque analysis was performed as per patient and per vessel (LM, LAD, CX and RCA) measurements.
Lumen and vessel volumes and plaque burden measurements were based on automatic detected contours
in each reconstruction. Lumen and plaque intensity measurements and HU based plaque characterization
were based on corrected contours copied to each reconstruction
Original languageEnglish
JournalJournal of Cardiovascular Computed Tomography
Pages (from-to)507-516
ISSN1934-5925
Publication statusPublished - 2016

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