CAJ | 학술논문

手术中肿瘤的精确定位一直是国际上的研究热点及挑战性问题．对光学分子影像手术导航系统中的图像融合算法进行了研究，对图像数据进行预处理后，利用梯度信息确定荧光图像兴趣点，缩小配准点的搜索区域．配准过程采用穷尽搜索策略，以平均绝对差（MAD）、均方差（MSD）和归一化积相关（NPROD）作为相似性度量，并利用域法修正的方法对兴趣点坐标进行修正，避免了因兴趣点过度偏离图像中心而导致配准失败．该算法将32组图像数据的平均配准时间从原始算法的539．384 s 缩短到43．2006 s（MAD），46．6853 s （MSD）及85．9786 s（NPROD）．采用这3种相似性度量算法的融合效果均优于原始算法．
수술중종류적정학정위일직시국제상적연구열점급도전성문제．대광학분자영상수술도항계통중적도상융합산법진행료연구，대도상수거진행예처리후，이용제도신식학정형광도상흥취점，축소배준점적수색구역．배준과정채용궁진수색책략，이평균절대차（MAD）、균방차（MSD）화귀일화적상관（NPROD）작위상사성도량，병이용역법수정적방법대흥취점좌표진행수정，피면료인흥취점과도편리도상중심이도치배준실패．해산법장32조도상수거적평균배준시간종원시산법적539．384 s 축단도43．2006 s（MAD），46．6853 s （MSD）급85．9786 s（NPROD）．채용저3충상사성도량산법적융합효과균우우원시산법．
Intraoperative precise iocalization of tumor had been an international research hotspot and challeng -ing issue .The image fusion algorithm in optical molecular imaging surgical navigation system was conducted . Preprocessed the image data , got the interest point of fluorescence image by using its gradient information , the search region of registration points was narrowed down .Registration process used exhaustion search strategy , Mean Absolute Deviation ( MAD ) , Mean Square Deviation ( MSD ) and Normalized Product Correlation ( NPROD) as the similarity metrics , and the coordinates of interest point were corrected by the domain correc-tion method to avoid registration failure caused by excessive deviation of the interest points from image center . The algorithm shortened the average registration time of 32 sets of image data from 539.384 s to 43.200 6 s (MAD),46.685 3 s(MSD) and 85.978 6 s(NPROD).The image fusion effect of algorithm using the three similarity measure was found better than that of the original algorithm .