Comprehensive Segmentation of Cine Cardiac MR Images

Maxim Fradkin (1) , Cybèle Ciofolo (1) , Benoît Mory (1) , Gilion Hautvast (2) , Marcel Breeuwer (2)

1 Medisys - MedisysResearch Lab
2 HI - CS&AD - Healthcare Informatics - Clinical Science & Advanced Development - Philips Medical Systems Nederlands B.V.

A typical Cardiac Magnetic Resonance (CMR) examination includes acquisition of a sequence of short-axis (SA) and long-axis (LA) images covering the cardiac cycle. Quantitative analysis of the heart function requires segmentation of the left ventricle (LV) SA images, while segmented LA views allow more accurate estimation of the basal slice and can be used for slice registration. Since manual segmentation of CMR images is very tedious and time-consuming, its automation is highly required. In this paper, we propose a fully automatic 2D method for segmenting LV consecutively in LA and SA images. The approach was validated on 35 patients giving mean segmentation error smaller than one pixel, both for LA and SA, and accurate LV volume measurements. The original publication is available at www.springerlink.com

Domaines: Imagerie médicale; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Maxim Fradkin, Cybèle Ciofolo, Benoît Mory, Gilion Hautvast, Marcel Breeuwer. Comprehensive Segmentation of Cine Cardiac MR Images. 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI'08, Sep 2008, New York, NY, United States. pp.178-185, ⟨10.1007/978-3-540-85988-8_22⟩. ⟨hal-00438841⟩