Comparison of different segmentation approaches without using gold standard. Application to the estimation of the left ventricle ejection fraction from cardiac cine MRI sequences. - Archive ouverte HAL Access content directly
Conference Papers Year : 2011

Comparison of different segmentation approaches without using gold standard. Application to the estimation of the left ventricle ejection fraction from cardiac cine MRI sequences.

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Jessica Lebenberg
Jean Cousty
Muriel Lefort
Elodie Roullot
  • Function : Author
Laurent Sarry

Abstract

A statistical method is proposed to compare several estimates of a relevant clinical parameter when no gold standard is available. The method is illustrated by considering the left ventricle ejection fraction derived from cardiac magnetic resonance images and computed using seven approaches with different degrees of automation. The proposed method did not use any a priori regarding with the reliability of each method and its degree of automation. The results showed that the most accurate estimates of the ejection fraction were obtained using manual segmentations, followed by the semiautomatic methods, while the methods with the least user input yielded the least accurate ejection fraction estimates. These results were consistent with the expected performance of the estimation methods, suggesting that the proposed statistical approach might be helpful to assess the performance of estimation methods on clinical data for which no gold standard is available.
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Dates and versions

inserm-00773261 , version 1 (12-01-2013)

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Cite

Jessica Lebenberg, Irène Buvat, Mireille Garreau, Christopher Casta, Constantin Constantinidès, et al.. Comparison of different segmentation approaches without using gold standard. Application to the estimation of the left ventricle ejection fraction from cardiac cine MRI sequences.. Annual International Conference of the IEEE Engineering in Medicine and Biology Society., Aug 2011, Boston, United States. pp.2663-6, ⟨10.1109/IEMBS.2011.6090732⟩. ⟨inserm-00773261⟩
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