Literature DB >> 18302202

Segmentation of cardiac cine MR images of left and right ventricles: interactive semiautomated methods and manual contouring by two readers with different education and experience.

Francesco Sardanelli1, Matteo Quarenghi, Giovanni Di Leo, Leonardo Boccaccini, Angelo Schiavi.   

Abstract

PURPOSE: To test interactive semiautomated methods (ISAM) vs. manual contouring (MC) in segmenting cardiac cine MR images.
MATERIALS AND METHODS: Short-axis images of 10 consecutive patients (1.5-81.5 years of age) were evaluated by a trained radiologist (R1) and a low-trained engineer (R2). Each of them performed four independent reading sessions: two using ISAM and two using MC. Left ventricle (LV) myocardial mass (LVMM), LV ejection fraction (LVEF), and right ventricle (RV) ejection fraction (RVEF) were obtained. Bland-Altman analysis and Wilcoxon test were used.
RESULTS: The bias +/- 2 standard deviations (SD) of ISAM vs. MC for LVMM (g) was -5.7 +/- 13.4 (R1) and -5.5 +/- 26.3 (R2); for LVEF (%) it was -1.4 +/- 13.0 and -2.9 +/- and 6.8; for RVEF (%) it was 2.6 +/- 17.0 and 1.0 +/- 16.7. Considering both readers/methods, intraobserver bias +/- 2 SD ranged from 0.3 +/- 25.3 to -6.8 +/- 23.0, from 0.2 +/- 8.0 to -4.4 +/- 15.8, and from -0.0 +/- 26.4 to -4.6 +/- 27.8, respectively. Interobserver bias +/- 2 SD was -25.9 +/- 46.0 (ISAM) and 26.1 +/- 36.4 (MC), -1.4 +/- 8.6 (ISAM) and 0.1 +/- 17.9 (MC), and 0.7 +/- 23.3 and 2.3 +/- 29.8, respectively. Larger SDs were systematically found for RVEF vs. LVEF. Segmentation times: five minutes for LV with ISAM (both readers); for LV with MC, six (R1) vs. nine minutes (R2) (P < 0.001); five to six minutes for RV (both methods /readers). R2 significantly reduced LV segmentation times from nine (MC) to five minutes (ISAM) (P < 0.001).
CONCLUSION: A highly reproducible LV segmentation was performed in a short time by R1. The advantage of ISAM vs. MC for LV segmentation was a time saving only for R2. For RVEF, a lower reproducibility was observed for both methods and readers. (c) 2008 Wiley-Liss, Inc.

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Year:  2008        PMID: 18302202     DOI: 10.1002/jmri.21292

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  16 in total

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Journal:  Pediatr Radiol       Date:  2016-02-22

2.  Diagnostic accuracy and variability of three semi-quantitative methods for assessing right ventricular systolic function from cardiac MRI in patients with acquired heart disease.

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3.  Evaluation of knowledge-based reconstruction for magnetic resonance volumetry of the right ventricle in tetralogy of Fallot.

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5.  Intra- and inter-reader reproducibility of blood flow measurements on the ascending aorta and pulmonary artery using cardiac magnetic resonance.

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Review 6.  Challenges in estimating reproducibility of imaging modalities.

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8.  Segmentation of cardiac magnetic resonance cine images of single ventricle: including or excluding the accessorial ventricle?

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Journal:  Int J Cardiovasc Imaging       Date:  2014-05-07       Impact factor: 2.357

9.  Calibration of a semi-automated segmenting method for quantification of adipose tissue compartments from magnetic resonance images of mice.

Authors:  Philippe Garteiser; Sabrina Doblas; Rheal A Towner; Timothy M Griffin
Journal:  Metabolism       Date:  2013-07-25       Impact factor: 8.694

10.  A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images.

Authors:  Hisham Abdeltawab; Fahmi Khalifa; Fatma Taher; Norah Saleh Alghamdi; Mohammed Ghazal; Garth Beache; Tamer Mohamed; Robert Keynton; Ayman El-Baz
Journal:  Comput Med Imaging Graph       Date:  2020-03-12       Impact factor: 4.790

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