广东工业大学学报Issue(3)：65-69,5.DOI:10.3969/j.issn.1007-7162.2013.03.012
一种PET图像感兴趣区域体积特征的计算方法
A Calculation Method of the Volume of PET Image in the Region-of-interest
摘要
Abstract
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 .关键词
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Key words
self organizing artificial neural network/positron emission tomography ( PET)/region-of-in-terest/integral principle/image segmentation分类
数理科学引用本文复制引用
王振友,郑少杰,何远才,林洁芝,苏娜,龙洁丽..一种PET图像感兴趣区域体积特征的计算方法[J].广东工业大学学报,2013,(3):65-69,5.基金项目
广东省大学生创新实验项目 （）
