计算机与现代化
計算機與現代化
계산궤여현대화
COMPUTER AND MODERNIZATION
2015年
8期
8-12
,共5页
金凯成%王翊%郑申海%欧阳自鹏
金凱成%王翊%鄭申海%歐暘自鵬
금개성%왕익%정신해%구양자붕
肝脏肿瘤分割%三维ROI%结合空间信息的模糊聚类%形态学%水平集
肝髒腫瘤分割%三維ROI%結閤空間信息的模糊聚類%形態學%水平集
간장종류분할%삼유ROI%결합공간신식적모호취류%형태학%수평집
liver tumor segmentation%3D ROI%FCMS%morphology%level set
肝脏CT图像往往存在着较多的噪声，且肝脏肿瘤的灰度与周围肝实质接近，边界模糊，分割困难。在对肝脏肿瘤分割时，传统的水平集方法对初始轮廓敏感，需要手动调整参数，时间复杂度较高。本文结合肿瘤的模糊性，提出基于三维感兴趣区域（三维ROI）和结合空间信息的模糊聚类的肝脏肿瘤分割方法。首先在三维选取肿瘤的初始感兴趣区域，再结合空间信息的模糊聚类方法进行分割，然后进行形态学操作，最后利用B样条水平集对轮廓边缘进行平滑。实验结果表明，本文提出的方法，操作简便，速度快，能较好地分割出肝脏肿瘤。
肝髒CT圖像往往存在著較多的譟聲，且肝髒腫瘤的灰度與週圍肝實質接近，邊界模糊，分割睏難。在對肝髒腫瘤分割時，傳統的水平集方法對初始輪廓敏感，需要手動調整參數，時間複雜度較高。本文結閤腫瘤的模糊性，提齣基于三維感興趣區域（三維ROI）和結閤空間信息的模糊聚類的肝髒腫瘤分割方法。首先在三維選取腫瘤的初始感興趣區域，再結閤空間信息的模糊聚類方法進行分割，然後進行形態學操作，最後利用B樣條水平集對輪廓邊緣進行平滑。實驗結果錶明，本文提齣的方法，操作簡便，速度快，能較好地分割齣肝髒腫瘤。
간장CT도상왕왕존재착교다적조성，차간장종류적회도여주위간실질접근，변계모호，분할곤난。재대간장종류분할시，전통적수평집방법대초시륜곽민감，수요수동조정삼수，시간복잡도교고。본문결합종류적모호성，제출기우삼유감흥취구역（삼유ROI）화결합공간신식적모호취류적간장종류분할방법。수선재삼유선취종류적초시감흥취구역，재결합공간신식적모호취류방법진행분할，연후진행형태학조작，최후이용B양조수평집대륜곽변연진행평활。실험결과표명，본문제출적방법，조작간편，속도쾌，능교호지분할출간장종류。
In Computed Tomography ( CT) scans of liver it exists many noises.Besides, liver tumor’ s gray level is very close to the liver and the tumor has fuzzy boundaries, it is hard to be segmented.During liver tumor segmentation, the traditional level set method is sensitive to initial contours and needs to adjust the parameters manually, and the time complexity is high.According to liver tumor’ s fuzziness, this paper proposed a new segmentation method for liver tumor based on three dimension region of interest (3D ROI) and spatial fuzzy c-means clustering (FCMS).First it picks the ROI in three dimensions, then uses FCMS to segment the tumor, then does morphology operation, in the end uses variational B-spline level sets method to smooth the contour.The re-sult of test turns out that, the method proposed in this paper gets better result and higher efficiency, which is also easy to operate.
