• DocumentCode
    19181
  • Title

    Fast X-Ray Luminescence Computed Tomography Imaging

  • Author

    Xin Liu ; Qimei Liao ; Hongkai Wang

  • Author_Institution
    Sch. of Biomed. Eng., Fourth Mil. Med. Univ., Xi´an, China
  • Volume
    61
  • Issue
    6
  • fYear
    2014
  • fDate
    Jun-14
  • Firstpage
    1621
  • Lastpage
    1627
  • Abstract
    X-ray luminescence computed tomography (XLCT) opens new possibilities to perform molecular imaging with X-ray. However, challenges remain in dynamic XLCT imaging, where short scan time, good spatial resolution, and whole-body field of view should be considered simultaneously. In this paper, by the use of a single-view XLCT reconstruction method based on a compressive sensing (CS) technique, incorporating a cone beam XLCT imaging system, we implement fast 3-D XLCT imaging. To evaluate the performance of the method, two types of phantom experiments were performed based on a cone beam XLCT imaging system. In Case 1, one tube filled with the X-ray-excitable nanophosphor (Gd2O3:Eu3+) was immerged in different positions in the phantom to evaluate the effect of the source position on single-view XLCT reconstruction accuracy. In Case 2, two tubes filled with Gd2O3:Eu3+ were immerged in different heights in the phantom to evaluate the whole-body imaging performance of single-view XLCT reconstruction. The experimental results indicated that the tubes used in previous phantom experiments can be resolved from single-view XCLT reconstruction images. The location error is less than 1.2 mm. In addition, since only one view data are needed to implement 3-D XLCT imaging, the acquisition time can be greatly reduced (~1 frame/s) compared with previous XLCT systems. Hence, the technique is suited for imaging the fast distribution of the X-ray-excitable nanophosphors within a biological object.
  • Keywords
    compressed sensing; computerised tomography; image reconstruction; medical image processing; phantoms; 3D XLCT imaging; X-ray luminescence computed tomography imaging; XLCT reconstruction accuracy; compressive sensing technique; dynamic XLCT imaging; location error; molecular imaging; phantom; scan time; single view XLCT reconstruction; spatial resolution; Electron tubes; Image reconstruction; Imaging phantoms; Nanobioscience; Phantoms; X-ray imaging; Fluorescence; X-ray imaging; hybrid imaging; image reconstruction techniques; optical tomography;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2013.2294633
  • Filename
    6680686