European Radiology

, Volume 16, Issue 5, pp 1117–1123

Global left ventricular function in cardiac CT. Evaluation of an automated 3D region-growing segmentation algorithm

  • Georg Mühlenbruch
  • Marco Das
  • Christian Hohl
  • Joachim E. Wildberger
  • Daniel Rinck
  • Thomas G. Flohr
  • Ralf Koos
  • Christian Knackstedt
  • Rolf W. Günther
  • Andreas H. Mahnken
Cardiac

DOI: 10.1007/s00330-005-0079-z

Cite this article as:
Mühlenbruch, G., Das, M., Hohl, C. et al. Eur Radiol (2006) 16: 1117. doi:10.1007/s00330-005-0079-z

Abstract

The purpose was to evaluate a new semi-automated 3D region-growing segmentation algorithm for functional analysis of the left ventricle in multislice CT (MSCT) of the heart. Twenty patients underwent contrast-enhanced MSCT of the heart (collimation 16×0.75 mm; 120 kV; 550 mAseff). Multiphase image reconstructions with 1-mm axial slices and 8-mm short-axis slices were performed. Left ventricular volume measurements (end-diastolic volume, end-systolic volume, ejection fraction and stroke volume) from manually drawn endocardial contours in the short axis slices were compared to semi-automated region-growing segmentation of the left ventricle from the 1-mm axial slices. The post-processing-time for both methods was recorded. Applying the new region-growing algorithm in 13/20 patients (65%), proper segmentation of the left ventricle was feasible. In these patients, the signal-to-noise ratio was higher than in the remaining patients (3.2±1.0 vs. 2.6±0.6). Volume measurements of both segmentation algorithms showed an excellent correlation (all P≤0.0001); the limits of agreement for the ejection fraction were 2.3±8.3 ml. In the patients with proper segmentation the mean post-processing time using the region-growing algorithm was diminished by 44.2%. On the basis of a good contrast-enhanced data set, a left ventricular volume analysis using the new semi-automated region-growing segmentation algorithm is technically feasible, accurate and more time-effective.

Keywords

Computed tomography (CT) Multislice spiral CT (MSCT) Left ventricle Cardiac function Segmentation algorithm Automated segmentation Post-processing time Time-effectiveness 

Copyright information

© Springer-Verlag 2005

Authors and Affiliations

  • Georg Mühlenbruch
    • 1
  • Marco Das
    • 1
  • Christian Hohl
    • 1
  • Joachim E. Wildberger
    • 1
  • Daniel Rinck
    • 2
  • Thomas G. Flohr
    • 2
  • Ralf Koos
    • 3
  • Christian Knackstedt
    • 3
  • Rolf W. Günther
    • 1
  • Andreas H. Mahnken
    • 1
  1. 1.Department of Diagnostic RadiologyUniversity Hospital (RWTH) AachenAachenGermany
  2. 2.Siemens Medical SolutionsForchheimGermany
  3. 3.Department of CardiologyUniversity Hospital (RWTH) AachenAachenGermany

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