IEEE Trans Image Process - Automatic segmentation of the left atrium from MR images via variational region growing with a moments-based shape prior.

Tópicos

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Resumo

The planning and evaluation of left atrial ablation procedures are commonly based on the segmentation of the left atrium, which is a challenging task due to large anatomical variations. In this paper, we propose an automatic approach for segmenting the left atrium from magnetic resonance imagery. The segmentation problem is formulated as a problem in variational region growing. In particular, the method starts locally by searching for a seed region of the left atrium from an MR slice. A global constraint is imposed by applying a shape prior to the left atrium represented by Zernike moments. The overall growing process is guided by the robust statistics of intensities from the seed region along with the shape prior to capture the entire atrial region. The robustness and accuracy of our approach are demonstrated by experimental results from 64 human MR images.

Resumo Limpo

plan evalu left atrial ablat procedur common base segment left atrium challeng task due larg anatom variat paper propos automat approach segment left atrium magnet reson imageri segment problem formul problem variat region grow particular method start local search seed region left atrium mr slice global constraint impos appli shape prior left atrium repres zernik moment overal grow process guid robust statist intens seed region along shape prior captur entir atrial region robust accuraci approach demonstr experiment result human mr imag

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