Objective To segment the CT images of liver neoplasms accurately. Methods The image was preprocessed through MATLAB firstly, then was successfully segmented with the methods of gray transferring, binaryzation processing, inverting, morphological treatment and the region-growing method. Results The experimental result showed that the combination segmentation was simple, rapid, and particularly suitable for small lesions, and liver neoplasms could be accurately segmented. Conclusions The combination segmentation was effective to some extent in liver neoplasms, however was limited in the tumors with massive adhesion of surrounding tissues.%目的 将CT图像中的肝脏肿瘤部分进行准确分割.方法 利用MATLAB平台对CT肝脏肿瘤图像进行预处理,并结合灰度转换、二值化处理、反色处理、形态学处理、区域生长法对病灶区域进行分割.结果 组合分割法能够发挥简单、快速、适合小病灶区域的分割特点,实现了肝脏肿瘤组织的分割,分割效果理想.结论 该方法用于肝部肿瘤的分割具有一定的有效性,但对于与周围粘连较多的肿瘤的分割还有局限性.
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