CAJ | 학술논문

三维肝脏分割是当前医学图像处理的热点问题，如何准确快速地从腹部CT序列中分割出肝脏是肝部病变诊断的基础。针对传统活动轮廓模型对轮廓线敏感、运算量大的问题，改进了传统轮廓线设置方法，并把算法扩展到三维。首先，在一幅腹部CT图片中采用改进的分水岭算法，按照灰度和纹理的相似性原则从一个种子块开始生长出整个肝脏，再用其边缘作为相邻CT序列的起始轮廓，用GVF算法从序列图片中分割出肝脏，重复该过程，直至分割出整个腹部序列图像的切片，进行三维重建。
삼유간장분할시당전의학도상처리적열점문제，여하준학쾌속지종복부CT서렬중분할출간장시간부병변진단적기출。침대전통활동륜곽모형대륜곽선민감、운산량대적문제，개진료전통륜곽선설치방법，병파산법확전도삼유。수선，재일폭복부CT도편중채용개진적분수령산법，안조회도화문리적상사성원칙종일개충자괴개시생장출정개간장，재용기변연작위상린CT서렬적기시륜곽，용GVF산법종서렬도편중분할출간장，중복해과정，직지분할출정개복부서렬도상적절편，진행삼유중건。
Three-dimensional liver segmentation is a hot issue in medical image processing study. Accurate and fast liver segmentation from abdominal CT sequences is basis for liver lesions diagnose. The traditional active contour model is sen-sitive to contour and has large amount of computation, new method improves traditional contour set, and extends the algo-rithm to three-dimensional. In an abdominal CT image, using improved watershed algorithm to grow a liver from a seed block by the principle of the similarity between gray scale and texture, then using its edge as the start contour of the adjacent CT sequence, with GVF algorithm split a liver from a sequence of images, the process is repeated until getting all slices of the entire abdomen, then 3-D reconstructed.