摘要
每例胶囊内镜检查产生几万幅图像序列数据,给临床医学诊断带来极大困难,因此,研究胶囊内镜图像的相似度评估方法,筛查序列中冗余图像,对提高临床医生的阅片效率具有重要的意义。本研究提出基于空间约束的PatchMatch算法以实现胶囊内镜图像相似度评估。通过增加图像块偏移位置约束,限制图像块的初始化匹配区域,以及为待匹配的图像块提供不同的匹配搜索区域,对经典的PatchMatch算法进行改进,实现了局部图像块的匹配;然后,结合匹配图像块的位置和纹理特征信息生成图像等级的集成描述器,并通过集成描述器间的联合概率评估图像间的相似度。综合不同描述器算子(SIFT,HOG)对10例含5000幅以上胶囊内镜图像序列进行冗余筛查实验。结果显示,筛查的准确率、召回率和F-measure分别为93.73%、95.44%和94.77%。所提出的方法可有效地进行胶囊内镜图像的相似度评估。
The examination of every single wireless capsule endoscopy(WCE)produces a large quantity of image sequence data(i.e.,50000~80000 images),which creates big challenges in clinical practice and can lead to the difficulties in medical diagnosis.It is,therefore,of great significance to advance methods to quantify the abstract-level visual similarity between the WCE images and screen out redundant images in the WCE sequence,so that both the efficiency and the effectiveness of image diagnosis can be improved.In the current study,we proposed a PatchMatch algorithm based on the spatial constraint scheme to capture and evaluate the similarity between the WCE images.This novel method improved the conventional PatchMatch procedure through the achievement of matching the local image patches based on the spatial constraint measures,adding the offset position constraint,restricting the initial matching region,and providing different matching search regions for the image patch to be coordinated.Next,the image-level ensemble descriptor was built by combining the position and texture attribute information of matched image patches.Finally,the similarity of two WCE images was evaluated by a joint probability between ensemble descriptors.A recurring screening experiments of 10 cases of WCE image sequences consisting of more than 5000 WCE imageries were conducted by employing different descriptor operators(such as:SIFT and Hog).The results showed that the precision,recall and F-measure of experiments were 93.73%,95.44%and 94.77%respectively,indicating the proposed algorithm is effective in analyzing the similarity between the WCE images.
作者
田昊
陆恒
潘宁
胡怀飞
刘海华
Tian Hao;Lu Heng;Pan Ning;Hu Huaifei;Liu Haihua(College of Biomedical Engineering,South-Central Minzu University,Wuhan 430074,China;Hubei Key Laboratory of Medical Information Analysis and Tumor Diagnosis&Treatment,Wuhan 430074,China;Department of Gastroenterology and Hepatology,Jinling Hospital,Medical School of Nanjing University,Nanjing 210002,China)
出处
《中国生物医学工程学报》
CAS
CSCD
北大核心
2022年第6期680-690,共11页
Chinese Journal of Biomedical Engineering
基金
国家自然科学基金(61773409,62076257)
武汉市应用基础前沿项目(2020020601012239)。
