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基于内窥镜图像的儿童腺样体场景三维重建

许涛 王顺成 钟建文 刘大波 周宜龙 刘畅

集成技术2025,Vol.14Issue(1):65-77,13.
集成技术2025,Vol.14Issue(1):65-77,13.DOI:10.12146/j.issn.2095-3135.20240307001

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

许涛 1王顺成 2钟建文 2刘大波 2周宜龙 2刘畅3

作者信息

  • 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
  • 折叠

摘要

Abstract

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

Key words

adenoid/3D reconstruction/surface fitting/multi-view stereo

分类

医药卫生

引用本文复制引用

许涛,王顺成,钟建文,刘大波,周宜龙,刘畅..基于内窥镜图像的儿童腺样体场景三维重建[J].集成技术,2025,14(1):65-77,13.

基金项目

国家重点研发计划项目(2020YFC2004400) (2020YFC2004400)

广东省自然科学基金项目(2021A1515011678) (2021A1515011678)

国家自然科学基金项目(62273324) (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) (ZDXKKYTS0021)

深圳市卫生健康菁英人才培养计划项目(2021) This work is supported by National Key Research and Development Program of China(2020YFC2004400),Natural Science Foundation of Guangdong Province(2021A1515011678),National Natural Science Foundation of China(62273324),Scientific Research Promotion Project of Key Discipline Construction Fund of Shenzhen Hospital of Southern Medical University(ZDXKKYTS0021),Elite Talent Training Program of Shenzhen Municipal Health Commission(2021) (2021)

集成技术

2095-3135

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