计算机工程
計算機工程
계산궤공정
COMPUTER ENGINEERING
2015年
5期
228-231
,共4页
赵春兰%王凯玲%林成%孙瑜%修雅慧%王烨兴%郝利国
趙春蘭%王凱玲%林成%孫瑜%脩雅慧%王燁興%郝利國
조춘란%왕개령%림성%손유%수아혜%왕엽흥%학리국
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
覈磁共振圖像%歸一化割集%符號壓力%活動輪廓模型%顱腦腫瘤
핵자공진도상%귀일화할집%부호압력%활동륜곽모형%로뇌종류
Magnetic Resonance Image(MRI)%normalized cut set%Sign Pressure Force(SPF)%active contour model%brain tumor
颅脑核磁共振图像( MRI)的肿瘤图像由于自身对比度较低、肿瘤边缘模糊以及肿瘤形状复杂等因素,导致其难以被准确提取。为此,提出将归一化割算法和基于符号压力( SPF)函数的活动轮廓模型相结合,对颅脑MRI肿瘤进行提取的算法。利用基于SPF函数的活动轮廓模型,实现对归一化割算法提取肿瘤边缘的收敛,通过设置收敛的迭代次数和光滑系数完成对颅脑MRI肿瘤边缘的收敛速度和形状的控制,使最终曲线停止于真正的肿瘤边缘。仿真结果表明,该算法克服了肿瘤形状变化及对比度等因素对肿瘤提取的不利影响,能稳定而准确地提取颅脑MRI肿瘤。
顱腦覈磁共振圖像( MRI)的腫瘤圖像由于自身對比度較低、腫瘤邊緣模糊以及腫瘤形狀複雜等因素,導緻其難以被準確提取。為此,提齣將歸一化割算法和基于符號壓力( SPF)函數的活動輪廓模型相結閤,對顱腦MRI腫瘤進行提取的算法。利用基于SPF函數的活動輪廓模型,實現對歸一化割算法提取腫瘤邊緣的收斂,通過設置收斂的迭代次數和光滑繫數完成對顱腦MRI腫瘤邊緣的收斂速度和形狀的控製,使最終麯線停止于真正的腫瘤邊緣。倣真結果錶明,該算法剋服瞭腫瘤形狀變化及對比度等因素對腫瘤提取的不利影響,能穩定而準確地提取顱腦MRI腫瘤。
로뇌핵자공진도상( MRI)적종류도상유우자신대비도교저、종류변연모호이급종류형상복잡등인소,도치기난이피준학제취。위차,제출장귀일화할산법화기우부호압력( SPF)함수적활동륜곽모형상결합,대로뇌MRI종류진행제취적산법。이용기우SPF함수적활동륜곽모형,실현대귀일화할산법제취종류변연적수렴,통과설치수렴적질대차수화광활계수완성대로뇌MRI종류변연적수렴속도화형상적공제,사최종곡선정지우진정적종류변연。방진결과표명,해산법극복료종류형상변화급대비도등인소대종류제취적불리영향,능은정이준학지제취로뇌MRI종류。
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.