High spatial resolution x-ray luminescence computed tomography and x-ray fluorescence computed tomography

被引:0
|
作者
Dai, Xianjin [1 ]
Sivasubramanian, Kathyayini [1 ]
Xing, Lei [1 ]
机构
[1] Stanford Univ, Sch Med, Dept Radiat Oncol, Stanford, CA 94305 USA
来源
MOLECULAR-GUIDED SURGERY: MOLECULES, DEVICES, AND APPLICATIONS V | 2019年 / 10862卷
关键词
X-ray luminescence computed tomography; X-ray fluorescence computed tomography; molecular imaging; X-ray imaging; biomedical imaging; coded aperture; deep learning; NANOPARTICLE-LOADED OBJECTS; IMAGE-RECONSTRUCTION; INVERSE PROBLEMS; XFCT; CT; FEASIBILITY; YIELDS;
D O I
10.1117/12.2511875
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
X-ray luminescence computed tomography (XLCT) and X-ray fluorescence computed tomography (XFCT) are two emerging technologies in X-ray imaging. In these modalities, images are formed through detection of secondary emissions (light in XLCT, or secondary X-rays in XFCT) following X-ray excitations. XLCT and XFCT enable us to leverage the widely used X-ray imaging for simultaneous in vivo molecular and functional imaging. Depending on the geometry of the excitation X-ray beam (pencil-, fan-, and cone-beam or coded apertures), optimal tradeoff between imaging efficiency and spatial resolution can be achieved. The novel imaging principles of XLCT/XFCT make it possible to achieve a spatial resolution comparable to that of anatomical X-ray imaging. Here, we summarize our studies in this area in the past decade and discuss their prospects.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] X-Ray Luminescence and X-Ray Fluorescence Computed Tomography: New Molecular Imaging Modalities
    Ahmad, Moiz
    Pratx, Guillem
    Bazalova, Magdalena
    Xing, Lei
    IEEE ACCESS, 2014, 2 : 1051 - 1061
  • [2] High-resolution x-ray luminescence computed tomography
    Lun, Michael C.
    Li, Changqing
    MEDICAL IMAGING 2020: BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING, 2021, 11317
  • [3] Accelerating X-ray Fluorescence Computed Tomography
    La Riviere, P. J.
    Vargas, P.
    Fu, G.
    Meng, L. J.
    2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20, 2009, : 1000 - +
  • [4] Spectrally resolving and scattering-compensated x-ray luminescence/fluorescence computed tomography
    Cong, Wenxiang
    Shen, Haiou
    Wang, Ge
    JOURNAL OF BIOMEDICAL OPTICS, 2011, 16 (06)
  • [5] X-ray luminescence computed tomography: a sensitivity study
    Lun, Michael C.
    Zhang, Wei
    Li, Changqing
    MEDICAL IMAGING 2017: BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING, 2017, 10137
  • [6] The progress of X-ray fluorescence computed tomography at SSRF
    Deng, Biao
    Yang, Qun
    Du, Guohao
    Tong, Yajun
    Xie, Honglan
    Xiao, Tiqiao
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS, 2013, 305 : 5 - 8
  • [7] X-ray luminescence computed tomography using a focused x-ray beam
    Zhang, Wei
    Lun, Michael C.
    Nguyen, Alex Anh-Tu
    Li, Changqing
    JOURNAL OF BIOMEDICAL OPTICS, 2017, 22 (11)
  • [8] Polarized x-ray excitation for scatter reduction in x-ray fluorescence computed tomography
    Vernekohl, Don
    Tzoumas, Stratis
    Zhao, Wei
    Xing, Lei
    MEDICAL PHYSICS, 2018, 45 (08) : 3741 - 3748
  • [9] High-spatial-resolution nanoparticle X-ray fluorescence tomography
    Larsson, Jakob C.
    Vagberg, William
    Vogt, Carmen
    Lundstrom, Ulf
    Larsson, Daniel H.
    Hertz, Hans M.
    MEDICAL IMAGING 2016: PHYSICS OF MEDICAL IMAGING, 2016, 9783
  • [10] X-ray Fluorescence Computed Tomography (XFCT) Imaging with a Superfine Pencil Beam X-ray Source
    Romero, Ignacio O.
    Fang, Yile
    Lun, Michael
    Li, Changqing
    PHOTONICS, 2021, 8 (07)