广东工业大学学报
廣東工業大學學報
엄동공업대학학보
JOURNAL OF GUANGDONG UNIVERSITY OF TECHNOLOGY
2013年
3期
65-69
,共5页
王振友%郑少杰%何远才%林洁芝%苏娜%龙洁丽
王振友%鄭少傑%何遠纔%林潔芝%囌娜%龍潔麗
왕진우%정소걸%하원재%림길지%소나%룡길려
自组织神经网络%正电子发射断层扫描%感兴趣区域%积分原理%图像分割
自組織神經網絡%正電子髮射斷層掃描%感興趣區域%積分原理%圖像分割
자조직신경망락%정전자발사단층소묘%감흥취구역%적분원리%도상분할
self organizing artificial neural network%positron emission tomography ( PET)%region-of-in-terest%integral principle%image segmentation
针对14张脑瘤( Positron Emission Tomogrophy ,PET)图像切片,将感兴趣区域分割出来,利用积分原理计算其体积特征.首先提取出图片所有点的像素值,然后利用自组织神经网络将像素值进行分类,其中自组织神经网络的输入节点经过多次的试验确定为2×2.通过自组织神经网络,可以将各个元素点进行标志,使得图片的分离简单精确并且计算出目标区域的元素点数.最后通过Matlab对14个切片构建出目标区域的三维立体图,利用积分原理算出该目标区域的体积为9.9 cm3.该方法合理,计算结果有效,且计算结果可对临床诊断有辅助作用.
針對14張腦瘤( Positron Emission Tomogrophy ,PET)圖像切片,將感興趣區域分割齣來,利用積分原理計算其體積特徵.首先提取齣圖片所有點的像素值,然後利用自組織神經網絡將像素值進行分類,其中自組織神經網絡的輸入節點經過多次的試驗確定為2×2.通過自組織神經網絡,可以將各箇元素點進行標誌,使得圖片的分離簡單精確併且計算齣目標區域的元素點數.最後通過Matlab對14箇切片構建齣目標區域的三維立體圖,利用積分原理算齣該目標區域的體積為9.9 cm3.該方法閤理,計算結果有效,且計算結果可對臨床診斷有輔助作用.
침대14장뇌류( Positron Emission Tomogrophy ,PET)도상절편,장감흥취구역분할출래,이용적분원리계산기체적특정.수선제취출도편소유점적상소치,연후이용자조직신경망락장상소치진행분류,기중자조직신경망락적수입절점경과다차적시험학정위2×2.통과자조직신경망락,가이장각개원소점진행표지,사득도편적분리간단정학병차계산출목표구역적원소점수.최후통과Matlab대14개절편구건출목표구역적삼유입체도,이용적분원리산출해목표구역적체적위9.9 cm3.해방법합리,계산결과유효,차계산결과가대림상진단유보조작용.
A case study was conducted of the slicing of 14 cerebroma PET images , of which interesting parts were divided , with a calculation of their volume features followed .Firstly, all pixels in these images were extracted , and then classified according to the self-organizing neural network , the input node of which was determined as 2 ×2 through repeated experiments .By marking each element point through the self-organizing neural network , it is easier and more accurate to extract images and to calculate the num-ber of elements within the target zone .With the use of Matlab , it built the three-dimension chart of the target zone within the 14 slicings.Finally, the volume of target areas was calculated by using the integral principle .Experimental results show this theory is a plausible one with effective outcome , which can offer assistance in clinical diagnosis .