The effect of iterative image reconstruction algorithms on the feasibility of automated plaque assessment in coronary CT angiography

Stefan B. Puchner, Maros Ferencik, Mihaly Karolyi, Synho Do, Pal Maurovich-Horvat, Hans Ulrich Kauczor, Udo Hoffmann, Christopher L. Schlett

Research output: Contribution to journalArticle

12 Scopus citations

Abstract

To evaluate the effect of adaptive statistical (ASIR) and model based (MBIR) iterative reconstruction algorithms on the feasibility of automated plaque assessment in coronary computed tomography angiography (CCTA) compared to filtered back projection reconstruction (FBPR) algorithm. Three ex vivo human donor hearts were imaged by CCTA and reconstructed with FBPR, ASIR and MBIR. Commercial plaque assessment software was applied for the automated delineation of the outer and inner vessel-wall boundaries. Manually corrections were performed where necessary and the percentages were compared between the reconstruction algorithms. In total 2,295 CCTA cross-sections with 0.5 mm increments were assessed (765 co-registered FBPR/ASIR/MBIR triplets). Any boundary corrections were performed in 31.0 % of all cross-sections (N = 712). The percentage of corrected crosssections was lower for MBIR (24.1 %) as compared to ASIR (32.4 %, p = 0.0003) and FBPR (36.6 %, p

Original languageEnglish (US)
Pages (from-to)1879-1888
Number of pages10
JournalInternational Journal of Cardiovascular Imaging
Volume29
Issue number8
DOIs
Publication statusPublished - Dec 2013
Externally publishedYes

    Fingerprint

Keywords

  • Automated
  • Coronary
  • CT angiography
  • Iterative reconstruction algorithm
  • Plaque assessment

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Cardiology and Cardiovascular Medicine

Cite this