北京生物醫(yī)學(xué)工程

基于自適應(yīng)標(biāo)記分水嶺算法的肝臟CT圖像自動分割

Automatic segmentation of liver CT images based on adaptivemarked-watershed algorithm

作者：黃展鵬張琦趙潔

單位：廣東藥科大學(xué)醫(yī)藥信息工程學(xué)院(廣州510006)

關(guān)鍵詞：分水嶺算法;醫(yī)學(xué)圖像分割;自適應(yīng)標(biāo)記提取;數(shù)學(xué)形態(tài)學(xué);肝臟

分類號：R318.04;TP391.41

出版年·卷·期（頁碼）：2017·36·4（378-382）

摘要：

目的為減少人工交互提出了基于自適應(yīng)標(biāo)記分水嶺的CT系列圖像肝臟區(qū)域自動分割算法。方法首先對圖像進(jìn)行形態(tài)學(xué)重構(gòu)運算以平滑圖像，然后計算多尺度形態(tài)學(xué)梯度，同時提出利用梯度圖像非零的局部極小值點的均值進(jìn)行自適應(yīng)標(biāo)記提取，以避免分水嶺的過分割和欠分割，再結(jié)合肝臟為最大的實質(zhì)性臟器和相鄰圖像的相似性實現(xiàn)CT系列圖像的肝區(qū)自動分割。結(jié)果該算法能自動、快速地提取CT系列圖像中的肝臟區(qū)域。結(jié)論分水嶺算法能準(zhǔn)確定位區(qū)域的邊緣，通過選擇合適的閾值對梯度圖像進(jìn)行標(biāo)記以抑制分水嶺的過分割，實現(xiàn)醫(yī)學(xué)圖像中感興趣區(qū)域的自動分割。

Objective An automatic segmentation method of liver area from computed tomography images based on adaptive marked-watershed algorithm is proposed to reduce human interaction.Methods The image is smoothed by morphological reconstruction,and the morphological gradient is calculated by the multi-scale structuring elements.Then the mean of non-zero local minimum of the gradient images is computed for adaptive Marked,which can overcome the over-segmentation and insufficient-segmentation of the watershed algorithm.Finally,by using the information that the liver is the largest organ and the similarity of the adjacent images,the regions of the liver are automatically extracted from the CT images.Results The region of the liver can be automatically and quickly extracted from the series of CT images by the proposed algorithm.Conclusions The watershed algorithm can accurately locate the edge of the area.By choosing the appropriate threshold as the adaptive Marked for the gradient image to suppress the watershed over-segmentation,the adaptive marked-watershed algorithm can automatically extract the regions of interest from medical images.

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