CAJ | 학술논문

三维肝脏肿瘤识别是当前研究的热点问题，如何准确快速地从腹部CT序列中分割出肝脏肿瘤是肝部病变诊断的基础。针对水平集方法在进行分割时收敛速度较慢，设置窄带宽度固定不灵活的缺点，先利用分水岭算法，对肝脏图像进行“过分割”，搜索初始轮廓所在的分水岭块作为窄带区域进行标记，在窄带区域内用水平集算法使初始轮廓线收敛至准确轮廓。再以其边缘作为相邻CT序列的肿瘤初始轮廓，找出初始轮廓线所在的分水岭块，构成新的窄带，用水平集算法对轮廓线进行迭代分割出肿瘤。重复该过程，直至完成整个肝脏序列图像的肿瘤图像分割，进行三维重建。
삼유간장종류식별시당전연구적열점문제，여하준학쾌속지종복부CT서렬중분할출간장종류시간부병변진단적기출。침대수평집방법재진행분할시수렴속도교만，설치착대관도고정불령활적결점，선이용분수령산법，대간장도상진행“과분할”，수색초시륜곽소재적분수령괴작위착대구역진행표기，재착대구역내용수평집산법사초시륜곽선수렴지준학륜곽。재이기변연작위상린CT서렬적종류초시륜곽，조출초시륜곽선소재적분수령괴，구성신적착대，용수평집산법대륜곽선진행질대분할출종류。중복해과정，직지완성정개간장서렬도상적종류도상분할，진행삼유중건。
Three-dimensional liver tumor segmentation is a hot issue in medical image processing study. Accurate and fast liver tumor segmentation from abdominal CT sequences is the basis for liver lesions diagnose. The level set method is sensitive to contour and has large amount of computation. It is inflexibility to set the width of the narrow band. The new method improves traditional level set method. Firstly, divided liver image with watershed method, the block where initial contour in is marked, and the labeled blocks make up narrow band. The level set algorithm can convergence initial contour to the exact contour in narrow band. Then using its edge as the initial contour of the adjacent CT sequence, with the new algorithm mentioned above split the liver tumor from a sequence of images, the process is repeated until get all segmentation result from the entire slices, then 3-D reconstructed.