A 3D location method of bioluminescence light source based on multi-view projection surface reconstruction

被引：0
|
作者：
Ning, Nan-Nan [1 ]
Liu, Xia [1 ]
Deng, Ke-Xin [3 ]
Wu, Ping [2 ]
Wang, Kun [2 ]
Tian, Jie [2 ,3 ]
机构：
[1] School of Automation, Harbin University of Science and Technology, Harbin,150080, China
[2] Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing,100190, China
[3] School of Life Sciences and Technology, Xidian University, Xi'an,710126, China
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2014年 / 40卷 / 08期
关键词：
In bioluminescent tomography imaging (BLT); dual-modality fusion (optical modality and structural modality) can make full use of high accuracy 3D geometrical structures provided by structural modality reconstruct 3D surface light flux distribution and bioluminescence inner light source reconstruction. However; compared with the all-optical modality; dual-modality fusion has the problems of complicated fusion system; high cost compared with all-optical system; multifarious and exhaustive date processing; and ionizing radiation (for example; CT); Therefore; the 3D location method of bioluminescence light source based on pure optical 3D geometrical structures has significance for BLT. In this paper; we present a 3D location method of bioluminescence light source based on multi-view projection surface reconstruction; and an all-optical bioluminescence tomography system (AOBTS) is developed for this method. The method consists of 3D surface reconstruction based on multi-view optical projection; multi-view luminescent seamless integration; calibration and quantification of the surface light flux and internal bioluminescence reconstruction. An in-vivo BALB/C mouse with an implanted luminescent light source are used to evaluate the performance of the new method. Compared with the conventional optical methods; the new method improves not only the 3D surface reconstruction method but also the multi-view luminescent seamless integration. It has realized 3D real mouse bioluminescence light source localization; and the preliminary test proves its potential application in clinical trial. © 2014 Acta Automatica Sinica. All rights reserved;
D O I：
10.3724/SP.J.1004.2014.01793
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1793 / 1803
相关论文
共 50 条
  • [21] AN AUTOMATIC 3D RECONSTRUCTION METHOD BASED ON MULTI-VIEW STEREO VISION FOR THE MOGAO GROTTOES
    Xiong, Jie
    Zhong, Sidong
    Zheng, Lin
    INDOOR-OUTDOOR SEAMLESS MODELLING, MAPPING AND NAVIGATION, 2015, 44 (W5): : 171 - 176
  • [22] 3D reconstruction and depth estimation method for local anomalies of rail surface based on multi-view stereo matching
    Hu, Pengyu
    Zhong, Qianwen
    Zheng, Shubin
    Chen, Xieqi
    Peng, Lele
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2025, 36 (01)
  • [23] A Semantically Aware Multi-View 3D Reconstruction Method for Urban Applications
    Wei, Rongke
    Pei, Haodong
    Wu, Dongjie
    Zeng, Changwen
    Ai, Xin
    Duan, Huixian
    APPLIED SCIENCES-BASEL, 2024, 14 (05):
  • [24] Research on Viewpoint Planning Method for Multi-view Image 3D Reconstruction
    Shi, Yun
    Zhu, Yanyan
    MANUFACTURING TECHNOLOGY, 2023, 23 (04): : 532 - 537
  • [25] 3D Target Detection Method Combined with Multi-View Mutual Projection Fusion
    Zhao Y.
    Wang X.
    Gao L.
    Liu Y.
    Dai Y.
    Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2022, 42 (12): : 1273 - 1282
  • [26] 3D reconstruction of a highly reflective surface based on multi-view fusion and point cloud fitting with a structured light field
    Feng, Wei
    Liu, Qianqian
    Wang, Henghui
    Xu, Jiangtao
    Wang, Xuanze
    APPLIED OPTICS, 2025, 64 (05) : A73 - A83
  • [27] PDE-Based 3D Surface Reconstruction from Multi-View 2D Images
    Zhu, Zaiping
    Iglesias, Andres
    Zhou, Liqi
    You, Lihua
    Zhang, Jianjun
    MATHEMATICS, 2022, 10 (04)
  • [28] Multi-View 3D Model Reconstruction Based on Multi-Level Perception
    Bai, Jing
    Xu, Hao
    Computer Engineering and Applications, 2024, 59 (02) : 232 - 239
  • [29] Multi-View Structured Light 3D Measurement Method Based on Reference Standard Parts
    Feng, Chuang
    Luo, Mingling
    Deng, Gaoxu
    Wu, Shiqian
    CHINESE JOURNAL OF LASERS-ZHONGGUO JIGUANG, 2024, 51 (17):
  • [30] Composite pattern separation with CNN for multi-view structured light 3D reconstruction
    Zhang, Shulin
    Xiang, Sen
    Deng, Huiping
    Wu, Jin
    PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 3139 - 3144
12345