基于内窥镜图像的儿童腺样体场景三维重建  

Three Dimensional Reconstruction for Pediatric Adenoid Based on Endoscopic Images

作　　者：许涛 王顺成 钟建文 刘大波 周宜龙 刘畅[3] XU Tao;WANG Shuncheng;ZHONG Jianwen;LIU Dabo;ZHOU Yilong;LIU Chang(Southern University of Science and Technology,Shenzhen 518055,China;Shenzhen Hospital of Southern Medical University,Shenzhen 518000,China;Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences,Shenzhen 518055,China)

机构地区：[1]南方科技大学,深圳518055 [2]南方医科大学深圳医院,深圳518000 [3]中国科学院深圳先进技术研究院,深圳518055

出　　处：《集成技术》2025年第1期65-77,共13页Journal of Integration Technology

基　　金：国家重点研发计划项目(2020YFC2004400);广东省自然科学基金项目(2021A1515011678);国家自然科学基金项目(62273324);南方医科大学深圳医院重点学科建设基金科研提升计划项目(ZDXKKYTS0021);深圳市卫生健康菁英人才培养计划项目(2021)。

摘　　要：腺样体肥大是导致儿童阻塞性睡眠呼吸暂停综合征的主要因素。医生通过内窥镜影像评估腺样体肥大程度及其对气道的阻塞程度。然而,内窥镜影像为二维图像,医生只能主观推测患者腺样体区域的三维结构。这种方法严重依赖医生的相关经验和对腺样体的观察角度。腺样体表面为人体黏膜组织,覆盖鼻腔分泌物,其内窥镜影像具有强反光、特征稀少、场景光滑、模糊等特点。根据腺样体表面特点,该文提出一种基于腺样体鼻咽腔内镜图像序列的多视图三维重建算法。算法首先采用多视图立体匹配技术获取图像对应深度图的粗糙估计;其次,使用网格曲面在深度空间中对粗糙的深度信息进行拟合,从而得到平滑、精细的深度图;最后,通过点云融合算法获得腺样体区域稠密、精确的三维重建。仿真与真实实验表明,该文算法基于腺样体内窥镜图像序列,可实现精确、稠密、平滑的腺样体区域三维重建,且重建结果显著优于现有三维重建算法。Adenoid hypertrophy(AH)is a key contributor to pediatric obstructive sleep apnea syndrome(OSAS).Physicians rely on nasopharyngeal endoscopy to identify AH and the obstruction of adenoid to the airway.However,due to the limitations of 2D endoscope images,physicians have to subjectively infer the 3D structure of the adenoid region,which heavily relies on their expertise and the angle at which the adenoids are observed.The adenoid surface is composed of mucosal tissue covered by nasal secretions,and thus strongly reflective,smooth,and lack features.Furthermore,the endoscope image of adenoid is relatively blurred.Based on these unique characteristics of the adenoids,this paper introduces a multi-view stereo algorithm based on endoscopic image sequences of the adenoid nasopharyngeal cavity.The algorithm employs multi-view stereo matching to first estimate the depth maps corresponding to the images.Subsequently,it utilizes mesh surfaces to fit the rough depth information in the depth space,and thereby generates the smooth and refined depth maps.Eventually,fusing the obtained depth maps leads to a dense and precise reconstruction of the adenoid region.Both synthetic and real experimental results demonstrate that the algorithm can achieve accurate,dense,and smooth reconstruction of the adenoid area,surpassing the existing reconstruction algorithms significantly.

关 键 词：腺样体 三维重建 曲面拟合 多视图立体重建 

分 类 号：R765.041[医药卫生—耳鼻咽喉科] TP391.4[医药卫生—临床医学]