计算机工程Issue(5)：228-231,4.DOI:10.3969/j.issn.1000-3428.2015.05.042
基于归一化割的颅脑MRI肿瘤提取算法
Brain MRI Tumor Extraction Algorithm Based on Normalized Cut
摘要
Abstract
It is difficult to accurately extract the brain tumor,because of the low contrast of brain Magnetic Resonance Image(MRI),the blur tumor edge and complicated brain tumor shape. Order to solve this problem,this paper puts forward the algorithm cmbcaused normalized cut with active contour model based on the slsh wessure Force ( SPF ) function to extract brain MRI tumor. It uses active contour model based on the SPF function to convergent the normalized cut extraction tumor edge,setts the convergence of the iterative number and smooth coefficient to control the MRI tumor edge convergence speed and shape, and makes the tumor edge curve to stop at the real tumor edge. Simulation results show that ths algorithm can overcome the tumor extracting negative impact of tumor shape changing and tumor contrast, and extracts the brain tumor stably and accurately.关键词
核磁共振图像/归一化割集/符号压力/活动轮廓模型/颅脑肿瘤Key words
Magnetic Resonance Image(MRI)/normalized cut set/Sign Pressure Force(SPF)/active contour model/brain tumor分类
信息技术与安全科学引用本文复制引用
赵春兰,王凯玲,林成,孙瑜,修雅慧,王烨兴,郝利国..基于归一化割的颅脑MRI肿瘤提取算法[J].计算机工程,2015,(5):228-231,4.基金项目
黑龙江省教育厅科学技术研究基金资助项目(12541922)。 （12541922）
