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

Jessica Lebenberg; Irène Buvat; Mireille Garreau; Christopher Casta; Constantin Constantinidès; Jean Cousty; Alexandre Cochet; Stéphanie Jehan-Besson; Christophe Tilmant; Muriel Lefort; Elodie Roullot; Laurent Najman; Laurent Sarry; Patrick Clarysse; Alain de Cesare; Alain Lalande; Frédérique Frouin

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

Jessica Lebenberg ¹ Irène Buvat ² Mireille Garreau ³ Christopher Casta ⁴ Constantin Constantinidès ¹ Jean Cousty ⁵ Alexandre Cochet ⁶ Stéphanie Jehan-Besson ⁷ Christophe Tilmant ⁸ Muriel Lefort ¹ Elodie Roullot ⁹ Laurent Najman ⁵ Laurent Sarry ¹⁰ Patrick Clarysse ⁴ Alain de Cesare ¹ Alain Lalande ⁶ Frédérique Frouin ^{1, *}

* Corresponding author

1 LIF - Laboratoire d'Imagerie Fonctionnelle

2 IMNC - Imagerie et Modélisation en Neurobiologie et Cancérologie

3 LTSI - Laboratoire Traitement du Signal et de l'Image

4 MOTIVATE - Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales

CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé : 139739

5 LIGM - Laboratoire d'Informatique Gaspard-Monge

6 Le2i - Laboratoire Electronique, Informatique et Image [UMR6303]

7 Equipe Image - Laboratoire GREYC - UMR6072

GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen

8 LASMEA - Laboratoire des sciences et matériaux pour l'électronique et d'automatique

9 PRIAM

10 ISIT - Image Science for Interventional Techniques

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.

Document type :

Conference papers

Domain :

Life Sciences [q-bio] / Bioengineering

Engineering Sciences [physics] / Signal and Image processing

Computer Science [cs] / Signal and Image Processing

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https://www.hal.inserm.fr/inserm-00773261
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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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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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