IEEE Trans Image Process - Shortest-path constraints for 3D multiobject semiautomatic segmentation via clustering and Graph Cut.

Tópicos

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Resumo

We derive shortest-path constraints from graph models of structure adjacency relations and introduce them in a joint centroidal Voronoi image clustering and Graph Cut multiobject semiautomatic segmentation framework. The vicinity prior model thus defined is a piecewise-constant model incurring multiple levels of penalization capturing the spatial configuration of structures in multiobject segmentation. Qualitative and quantitative analyses and comparison with a Potts prior-based approach and our previous contribution on synthetic, simulated, and real medical images show that the vicinity prior allows for the correct segmentation of distinct structures having identical intensity profiles and improves the precision of segmentation boundary placement while being fairly robust to clustering resolution. The clustering approach we take to simplify images prior to segmentation strikes a good balance between boundary adaptivity and cluster compactness criteria furthermore allowing to control the trade-off. Compared with a direct application of segmentation on voxels, the clustering step improves the overall runtime and memory footprint of the segmentation process up to an order of magnitude without compromising the quality of the result.

Resumo Limpo

deriv shortestpath constraint graph model structur adjac relat introduc joint centroid voronoi imag cluster graph cut multiobject semiautomat segment framework vicin prior model thus defin piecewiseconst model incur multipl level penal captur spatial configur structur multiobject segment qualit quantit analys comparison pott priorbas approach previous contribut synthet simul real medic imag show vicin prior allow correct segment distinct structur ident intens profil improv precis segment boundari placement fair robust cluster resolut cluster approach take simplifi imag prior segment strike good balanc boundari adapt cluster compact criteria furthermor allow control tradeoff compar direct applic segment voxel cluster step improv overal runtim memori footprint segment process order magnitud without compromis qualiti result

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