Semi-automated border detection for right ventricular volume estimation from MR images

Maria C. Carminati, Paola Gripari, Francesco Maffessanti, Cristiana Corsi, Gianluca Pontone, Daniele Andreini, Mauro Pepi, Enrico G. Caiani

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Two different methods for semi-automated right ventricular (RV) endocardial border detection from MR images, based on different implementation of level set technique, have been developed and validated. Dynamic, ECG-gated, steady-state free precession short axis images were obtained in 26 consecutive patients. An expert cardiologist provided the "gold standard" for RV dimensions, by manually tracing the endocardial contours. Semi-automated detection was applied to obtain RV end-diastolic and end-systolic volumes, as well as stroke volume and ejection fraction. Comparison with "gold standard" was performed by linear regression and Bland-Altman analyses. Results showed high correlations and small biases and narrow limits of agreement with the "gold standard" values. Both methods provided reliable measurements of RV dimensions; however, better accuracy is related to higher manual interaction.

Original languageEnglish
Title of host publicationComputing in Cardiology
Number of pages4
Publication statusPublished - 2011
EventComputing in Cardiology 2011, CinC 2011 - Hangzhou, China
Duration: Sep 18 2011Sep 21 2011


OtherComputing in Cardiology 2011, CinC 2011

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine


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