Comput. Biol. Med. - Wavelet energy-guided level set-based active contour: a segmentation method to segment highly similar regions.

Tópicos

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Resumo

This paper introduces an approach to perform segmentation of regions in computed tomography (CT) images that exhibit intra-region intensity variations and at the same time have similar intensity distributions with surrounding/adjacent regions. In this work, we adapt a feature computed from wavelet transform called wavelet energy to represent the region information. The wavelet energy is embedded into a level set model to formulate the segmentation model called wavelet energy-guided level set-based active contour (WELSAC). The WELSAC model is evaluated using several synthetic and CT images focusing on tumour cases, which contain regions demonstrating the characteristics of intra-region intensity variations and having high similarity in intensity distributions with the adjacent regions. The obtained results show that the proposed WELSAC model is able to segment regions of interest in close correspondence with the manual delineation provided by the medical experts and to provide a solution for tumour detection.

Resumo Limpo

paper introduc approach perform segment region comput tomographi ct imag exhibit intraregion intens variat time similar intens distribut surroundingadjac region work adapt featur comput wavelet transform call wavelet energi repres region inform wavelet energi embed level set model formul segment model call wavelet energyguid level setbas activ contour welsac welsac model evalu use sever synthet ct imag focus tumour case contain region demonstr characterist intraregion intens variat high similar intens distribut adjac region obtain result show propos welsac model abl segment region interest close correspond manual delin provid medic expert provid solut tumour detect

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