Excitation-resolved cone-beam x-ray luminescence tomography

被引:18
|
作者
Liu, Xin [1 ]
Liao, Qimei [2 ]
Wang, Hongkai [3 ]
Yan, Zhuangzhi [1 ]
机构
[1] Shanghai Univ, Sch Commun & Informat Engn, Shanghai 200444, Peoples R China
[2] Fourth Mil Med Univ, Dept Biomed Engn, Xian 710032, Peoples R China
[3] Dalian Univ Technol, Dept Biomed Engn, Dalian 116024, Peoples R China
基金
中国国家自然科学基金;
关键词
image reconstruction techniques; optical tomography; x-ray imaging; hybrid imaging; SMALL ANIMALS;
D O I
10.1117/1.JBO.20.7.070501
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Cone-beam x-ray luminescence computed tomography (CB-XLCT), as an emerging imaging technique, plays an important role in in vivo small animal imaging studies. However, CB-XLCT suffers from low-spatial resolution due to the ill-posed nature of reconstruction. We improve the imaging performance of CB-XLCT by using a multiband excitation-resolved imaging scheme combined with principal component analysis. To evaluate the performance of the proposed method, the physical phantom experiment is performed with a custom-made XLCT/XCT imaging system. The experimental results validate the feasibility of the method, where two adjacent nanophosphors (with an edge-to-edge distance of 2.4 mm) can be located. (C) 2015 Society of Photo-Optical Instrumentation Engineers (SPIE)
引用
收藏
页数:3
相关论文
共 50 条
  • [41] Recent Development of Low-dose X-ray Cone-beam Computed Tomography
    Wang, Jing
    Liang, Zhengrong
    Lu, Hongbing
    Xing, Lei
    CURRENT MEDICAL IMAGING, 2010, 6 (02) : 72 - 81
  • [42] Correction of scattered radiation for Cone-beam Computed Tomography at high X-ray energies
    Flisch, Alexander
    Miceli, Alice
    Thierry, Raphael
    Hofmann, Juergen
    2008 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (2008 NSS/MIC), VOLS 1-9, 2009, : 5430 - 5437
  • [43] A computational investigation for metal artifact reduction in cone-beam X-ray computed tomography
    Aootaphao, Sorapong
    Pintavirooj, Chuchart
    Sotthivirat, Saowapak
    2006 INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES,VOLS 1-3, 2006, : 376 - +
  • [44] A cone-beam X-ray computed tomography data collection designed for machine learning
    Henri Der Sarkissian
    Felix Lucka
    Maureen van Eijnatten
    Giulia Colacicco
    Sophia Bethany Coban
    Kees Joost Batenburg
    Scientific Data, 6
  • [45] Cone beam X-ray luminescence computed tomography reconstruction with a priori anatomical information
    Lo, Pei-An
    Lin, Meng-Lung
    Jin, Shih-Chun
    Chen, Jyh-Cheng
    Lin, Syue-Liang
    Chang, C. Allen
    Chiang, Huihua Kenny
    REFLECTION, SCATTERING, AND DIFFRACTION FROM SURFACES IV, 2014, 9205
  • [46] Dynamic cone beam X-ray luminescence computed tomography with principal component analysis
    Gao, Peng
    Rong, Junyan
    Liu, Tianshuai
    Zhang, Wenli
    Pu, Huangsheng
    Zhang, Yuanke
    Lu, Hongbing
    MEDICAL IMAGING 2018: BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING, 2018, 10578
  • [47] High-resolution coded aperture optimization for super-resolved compressive x-ray cone-beam computed tomography
    Mojica, Edson
    Correa, Claudia, V
    Arguello, Henry
    APPLIED OPTICS, 2021, 60 (04) : 959 - 970
  • [48] Dual and Multi-Target Cone-Beam X-ray Luminescence Computed Tomography Based on the DeepCB-XLCT Network
    Liu, Tianshuai
    Huang, Shien
    Li, Ruijing
    Gao, Peng
    Li, Wangyang
    Lu, Hongbing
    Song, Yonghong
    Rong, Junyan
    BIOENGINEERING-BASEL, 2024, 11 (09):
  • [49] Single-view cone-beam x-ray luminescence optical tomography based on Group_YALL1 method
    Liu, Xin
    Tang, Xueli
    Shu, Yuexia
    Zhao, Lili
    Liu, Ying
    Zhou, Tianyang
    PHYSICS IN MEDICINE AND BIOLOGY, 2019, 64 (10):
  • [50] X-Ray Luminescence Computed Tomography Via Selective X-Ray Excitation
    Pratx, G.
    Carpenter, C.
    Sun, C.
    Xing, L.
    MEDICAL PHYSICS, 2010, 37 (06)