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Title:: Fast fusion algorithm of multi-spectral intraoperative ?guidance based on improved Laplacian pyramid

Author(s):: DONG Yanbiao; CHEN Chunxiao; LI Jie; Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106，China

Keywords:: Image fusion; Parallel computation; Multispectral; Laplacian pyramid; Multi-scale transformation

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。

Abstract:: 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.