Comput Math Methods Med - New region-scalable discriminant and fitting energy functional for driving geometric active contours in medical image segmentation.

Tópicos

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Resumo

We propose a novel region-based geometric active contour model that uses region-scalable discriminant and fitting energy functional for handling the intensity inhomogeneity and weak boundary problems in medical image segmentation. The region-scalable discriminant and fitting energy functional is defined to capture the image intensity characteristics in local and global regions for driving the evolution of active contour. The discriminant term in the model aims at separating background and foreground in scalable regions while the fitting term tends to fit the intensity in these regions. This model is then transformed into a variational level set formulation with a level set regularization term for accurate computation. The new model utilizes intensity information in the local and global regions as much as possible; so it not only handles better intensity inhomogeneity, but also allows more robustness to noise and more flexible initialization in comparison to the original global region and regional-scalable based models. Experimental results for synthetic and real medical image segmentation show the advantages of the proposed method in terms of accuracy and robustness.

Resumo Limpo

propos novel regionbas geometr activ contour model use regionscal discrimin fit energi function handl intens inhomogen weak boundari problem medic imag segment regionscal discrimin fit energi function defin captur imag intens characterist local global region drive evolut activ contour discrimin term model aim separ background foreground scalabl region fit term tend fit intens region model transform variat level set formul level set regular term accur comput new model util intens inform local global region much possibl handl better intens inhomogen also allow robust nois flexibl initi comparison origin global region regionalscal base model experiment result synthet real medic imag segment show advantag propos method term accuraci robust

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