Comput. Biol. Med. - Fully automated liver segmentation from SPIR image series.

Tópicos

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Resumo

Accurate liver segmentation is an important component of surgery planning for liver transplantation, which enables patients with liver disease a chance to survive. Spectral pre-saturation inversion recovery (SPIR) image sequences are useful for liver vessel segmentation because vascular structures in the liver are clearly visible in these sequences. Although level-set based segmentation techniques are frequently used in liver segmentation due to their flexibility to adapt to different problems by incorporating prior knowledge, the need to initialize the contours on each slice is a common drawback of such techniques. In this paper, we present a fully automated variational level set approach for liver segmentation from SPIR image sequences. Our approach is designed to be efficient while achieving high accuracy. The efficiency is achieved by (1) automatically defining an initial contour for each slice, and (2) automatically computing weight values of each term in the applied energy functional at each iteration during evolution. Automated detection and exclusion of spurious structures (e.g. cysts and other bright white regions on the skin) in the pre-processing stage increases the accuracy and robustness. We also present a novel approach to reduce computational cost by employing binary regularization of level set function. A signed pressure force function controls the evolution of the active contour. The method was applied to ten data sets. In each image, the performance of the algorithm was measured using the receiver operating characteristics method in terms of accuracy, sensitivity and specificity. The accuracy of the proposed method was 96%. Quantitative analyses of results indicate that the proposed method can accurately, efficiently and consistently segment liver images.

Resumo Limpo

accur liver segment import compon surgeri plan liver transplant enabl patient liver diseas chanc surviv spectral presatur invers recoveri spir imag sequenc use liver vessel segment vascular structur liver clear visibl sequenc although levelset base segment techniqu frequent use liver segment due flexibl adapt differ problem incorpor prior knowledg need initi contour slice common drawback techniqu paper present fulli autom variat level set approach liver segment spir imag sequenc approach design effici achiev high accuraci effici achiev automat defin initi contour slice automat comput weight valu term appli energi function iter evolut autom detect exclus spurious structur eg cyst bright white region skin preprocess stage increas accuraci robust also present novel approach reduc comput cost employ binari regular level set function sign pressur forc function control evolut activ contour method appli ten data set imag perform algorithm measur use receiv oper characterist method term accuraci sensit specif accuraci propos method quantit analys result indic propos method can accur effici consist segment liver imag

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