In vivo bioluminescence tomography based on multi-view projection and 3D surface reconstruction

被引:0
|
作者
Zhang, Shuang [1 ]
Wang, Kun [2 ]
Leng, Chengcai [2 ,3 ]
Deng, Kexin [2 ]
Hu, Yifang [4 ]
Tian, Jie [2 ]
机构
[1] Northeastern Univ, Sino Dutch Biomed & Informat Engn Sch, Shenyang 110819, Peoples R China
[2] Chinese Acad Sci, Key Lab Mol Imaging, Beijing 100190, Peoples R China
[3] Nanchang Hangkong Univ, Sch Math & Informat Sci, Nanchang 330063, Peoples R China
[4] Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China
关键词
Bioluminescence tomography; optical molecular imaging; structure from motion;
D O I
10.1117/12.2078203
中图分类号
Q813 [细胞工程];
学科分类号
摘要
Bioluminescence tomography (BLT) is a powerful optical molecular imaging modality, which enables non-invasive real-time in vivo imaging as well as 3D quantitative analysis in preclinical studies. In order to solve the inverse problem and reconstruct inner light sources accurately, the prior structural information is commonly necessary and obtained from computed tomography or magnetic resonance imaging. This strategy requires expensive hybrid imaging system, complicated operation protocol and possible involvement of ionizing radiation. The overall robustness highly depends on the fusion accuracy between the optical and structural information. In this study we present a pure optical bioluminescence tomographic system (POBTS) and a novel BLT method based on multi-view projection acquisition and 3D surface reconstruction. The POBTS acquired a sparse set of white light surface images and bioluminescent images of a mouse. Then the white light images were applied to an approximate surface model to generate a high quality textured 3D surface reconstruction of the mouse. After that we integrated multi-view luminescent images based on the previous reconstruction, and applied an algorithm to calibrate and quantify the surface luminescent flux in 3D. Finally, the internal bioluminescence source reconstruction was achieved with this prior information. A BALB/C mouse with breast tumor of 4T1-fLuc cells mouse model were used to evaluate the performance of the new system and technique. Compared with the conventional hybrid optical-CT approach using the same inverse reconstruction method, the reconstruction accuracy of this technique was improved. The distance error between the actual and reconstructed internal source was decreased by 0.184 mm.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] A 3D measurement method based on multi-view fringe projection by using a turntable
    Song L.-M.
    Gao Y.-Y.
    Zhu X.-J.
    Guo Q.-H.
    Xi J.-T.
    Optoelectronics Letters, 2016, 12 (5) : 0389 - 0394
  • [22] A 3D measurement method based on multi-view fringe projection by using a turntable
    宋丽梅
    高艳艳
    朱新军
    郭庆华
    习江涛
    OptoelectronicsLetters, 2016, 12 (05) : 389 - 394
  • [23] A review and comparison of multi-view 3D reconstruction methods
    Jadhav, Tushar
    Singh, Kulbir
    Abhyankar, Aditya
    JOURNAL OF ENGINEERING RESEARCH, 2017, 5 (03): : 50 - 72
  • [24] A Real World Dataset for Multi-view 3D Reconstruction
    Shrestha, Rakesh
    Hu, Siqi
    Gou, Minghao
    Liu, Ziyuan
    Tan, Ping
    COMPUTER VISION, ECCV 2022, PT VIII, 2022, 13668 : 56 - 73
  • [25] MVLayoutNet: 3D Layout Reconstruction with Multi-view Panoramas
    Hu, Zhihua
    Duan, Bo
    Zhang, Yanfeng
    Sun, Mingwei
    Huang, Jingwei
    PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2022, 2022, : 1289 - 1298
  • [26] MULTI-VIEW 3D RECONSTRUCTION FROM VIDEO WITH TRANSFORMER
    Zhong, Yijie
    Sun, Zhengxing
    Sun, Yunhan
    Luo, Shoutong
    Wang, Yi
    Zhang, Wei
    2022 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, 2022, : 1661 - 1665
  • [27] OPTIMIZING CAMERA POSITIONS FOR MULTI-VIEW 3D RECONSTRUCTION
    Qian, Ningqing
    Lo, Chao-Yang
    2015 INTERNATIONAL CONFERENCE ON 3D IMAGING (IC3D), 2015,
  • [28] 3D BIOLOGICAL CELL RECONSTRUCTION WITH MULTI-VIEW GEOMETRY
    Lei, Yang
    Shkolnikov, Viktor
    Xin, Daisy
    2020 IEEE 17TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2020), 2020, : 495 - 498
  • [29] 3D ear reconstruction attempts: Using multi-view
    Liu, Heng
    Yan, Jingqi
    Zhang, David
    INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION, 2006, 345 : 578 - 583
  • [30] Multi-view 3D Reconstruction with Self-attention
    Qian, Qiuting
    2021 14TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER THEORY AND ENGINEERING (ICACTE 2021), 2021, : 20 - 26