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Semi-automated Processing of Real-Time CMR Scans for Left Ventricle Segmentation

  • Rahil ShahzadEmail author
  • Martin Fasshauer
  • Boudewijn P. F. Lelieveldt
  • Joachim Lotz
  • Rob van der Geest
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10883)

Abstract

We present a workflow for processing real-time cardiac MR (RT-CMR) scans for segmenting the left ventricle (LV) on short-axis slices (SAX). Our method is based on image registration, where the LV endocardium and epicardium are segmented by propagating a reference contour over all the frames of the RT-CMR SAX scans. Our method was evaluated on 19 subjects, the accuracy of the automatic LV endocardium and epicardium segmentation was compared to those defined manually. The proposed method obtained a dice similarity coefficient (DSC) of 0.94 and a mean surface-to-surface distance (MSD) measure of 0.89 ± 0.53 mm. Additionally, a number of automatically obtained clinical measures were compared to ground truth values. On average we obtained a Pearson’s correlation coefficient (R) of 0.94 (0.99–0.74).

Keywords

Realtime-MR Left ventricle Segmentation Registration Semi-automatic 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Rahil Shahzad
    • 1
    Email author
  • Martin Fasshauer
    • 2
  • Boudewijn P. F. Lelieveldt
    • 1
    • 3
  • Joachim Lotz
    • 2
  • Rob van der Geest
    • 1
  1. 1.Division of Image Processing (LKEB), Department of RadiologyLeiden University Medical CenterLeidenThe Netherlands
  2. 2.Institute for Diagnostic and Interventional RadiologyUniversity Medical Center GöttingenGöttingenGermany
  3. 3.Intelligent Systems DepartmentDelft University of TechnologyDelftThe Netherlands

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