Comparing a novel automatic 3D method for LGE-CMR quantification of scar size with established methods

  • Leik WoieEmail author
  • Frode Måløy
  • Trygve Eftestøl
  • Kjersti Engan
  • Thor Edvardsen
  • Jan Terje Kvaløy
  • Stein Ørn
Original Paper


Current methods for the estimation of infarct size by late-enhanced cardiac magnetic imaging are based upon 2D analysis that first determines the size of the infarction in each slice, and thereafter adds the infarct sizes from each slice to generate a volume. We present a novel, automatic 3D method that estimates infarct size by a simultaneous analysis of all pixels from all slices. In a population of 54 patients with ischemic scars, the infarct size estimated by the automatic 3D method was compared with four established 2D methods. The new 3D method defined scar as the sum of all pixels with signal intensity (SI) ≥35 % of max SI from the complete myocardium, border zone: SI 35–50 % of max SI and core as SI ≥50 % of max SI. The 3D method yielded smaller infarct size (−2.8 ± 2.3 %) and core size (−3.0 ± 1.7 %) than the 2D method most similar to ours. There was no difference in the size of the border zone (0.2 ± 1.4 %). The 3D method demonstrated stronger correlations between scar size and left ventricular (LV) remodelling parameters (LV ejection fraction: r = −0.71, p < 0.0005, LV end-diastolic index: r = 0.54, p < 0.0005, and LV end-systolic index: r = 0.59, p < 0.0005) compared with conventional 2D methods. Infarct size estimation by our novel 3D automatic method is without the need for manual demarcation of the scar; it is less time-consuming and has a stronger correlation with remodelling parameters compared with existing methods.


Cardiac magnetic resonance Late gadolinium enhancement Quantification Myocardial infarction Scar 



We acknowledge Fredrikke Wick (RT), Kurt Tjelta (RN), Torbjørn Aarsland (RN), Ole Jacob Greve (MD) for their important contributions to this study.


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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Leik Woie
    • 1
    • 5
    Email author
  • Frode Måløy
    • 2
  • Trygve Eftestøl
    • 2
  • Kjersti Engan
    • 2
  • Thor Edvardsen
    • 3
  • Jan Terje Kvaløy
    • 4
  • Stein Ørn
    • 1
  1. 1.Department of CardiologyStavanger University HospitalStavangerNorway
  2. 2.Department of Electrical and Computer EngineeringUniversity of StavangerStavangerNorway
  3. 3.Department of Cardiology, Oslo University Hospital, RikshospitaletUniversity of OsloOsloNorway
  4. 4.Department of Mathematics and Natural SciencesUniversity of StavangerStavangerNorway
  5. 5.StavangerNorway

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