摘要
本研究利用吲哚菁绿(indocyanine green,ICG)对肿瘤进行标记,通过改进的拉普拉斯金字塔算法对非顶层图像的肿瘤细节进行增强,同时去除顶层图像的非肿瘤信息,从而达到强化与区分肿瘤信息的目的;利用图形处理单元(graphics processing unit,GPU)技术将融合算法进行并行化处理,可以有效提高本研究算法的运算速度,实时显示多光谱融合图像。相对于传统成像方式,本研究提供的成像方法可以实时获取更为全面的肿瘤信息,提高了肿瘤检测的准确性,从而帮助外科医生更好地实施肿瘤切除手术。
In this paper,the tumor was labeled by ICG,and the tumor details of the non-top image were enhanced while the non-tumor information of the top image was removed based on the improved Laplacian pyramid algorithm,so as to strengthen and distinguish tumor information;the GPU technology was used to parallelize the fusion algorithm to improve the efficiency of the algorithm speed and real-time display the multi-spectral fusion image.Compared with the traditional imaging method,the imaging method provided in this paper can provide more real-time and comprehensive information of the tumor,and improve the accuracy of tumor detection,which will be useful for surgeon to perform the tumor resection.
作者
董琰彪
陈春晓
李杰
DONG Yanbiao;CHEN Chunxiao;LI Jie(Department of Biomedical Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China)
出处
《生物医学工程研究》
2018年第1期77-81,共5页
Journal Of Biomedical Engineering Research
关键词
图像融合
并行计算
多光谱
拉普拉斯金字塔
多尺度变换
Image fusion
Parallel computation
Multispectral
Laplacian pyramid
Multi-scale transformation
