Literature DB >> 24845271

Fast X-ray luminescence computed tomography imaging.

Xin Liu, Qimei Liao, Hongkai Wang.   

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 (Gd 2O 3 :Eu (3+)) 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 Gd 2O 3 :Eu (3+) 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.

Mesh:

Year:  2014        PMID: 24845271     DOI: 10.1109/TBME.2013.2294633

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  10 in total

1.  Intrinsically Zirconium-89 Labeled Gd2 O2 S:Eu Nanoprobes for In Vivo Positron Emission Tomography and Gamma-Ray-Induced Radioluminescence Imaging.

Authors:  Yonghua Zhan; Fanrong Ai; Feng Chen; Hector F Valdovinos; Hakan Orbay; Haiyan Sun; Jimin Liang; Todd E Barnhart; Jie Tian; Weibo Cai
Journal:  Small       Date:  2016-04-23       Impact factor: 13.281

2.  4-D reconstruction of fluorescence molecular tomography using re-assembled measurement data.

Authors:  Xin Liu; Xiaowe He; Zhuangzhi Yan; Hongbing Lu
Journal:  Biomed Opt Express       Date:  2015-05-06       Impact factor: 3.732

3.  X-ray luminescence computed tomography imaging based on X-ray distribution model and adaptively split Bregman method.

Authors:  Dongmei Chen; Shouping Zhu; Xu Cao; Fengjun Zhao; Jimin Liang
Journal:  Biomed Opt Express       Date:  2015-06-23       Impact factor: 3.732

4.  Sensitivity study of x-ray luminescence computed tomography.

Authors:  Michael C Lun; Wei Zhang; Changqing Li
Journal:  Appl Opt       Date:  2017-04-10       Impact factor: 1.980

5.  High-speed X-ray-induced luminescence computed tomography.

Authors:  Xianjin Dai; Kai Cheng; Wei Zhao; Lei Xing
Journal:  J Biophotonics       Date:  2020-06-23       Impact factor: 3.207

6.  Resolving adjacent nanophosphors of different concentrations by excitation-based cone-beam X-ray luminescence tomography.

Authors:  Peng Gao; Huangsheng Pu; Junyan Rong; Wenli Zhang; Tianshuai Liu; Wenlei Liu; Yuanke Zhang; Hongbing Lu
Journal:  Biomed Opt Express       Date:  2017-08-04       Impact factor: 3.732

7.  Background luminescence in x-ray luminescence computed tomography (XLCT) imaging.

Authors:  Michael C Lun; Changqing Li
Journal:  Appl Opt       Date:  2019-02-01       Impact factor: 1.980

8.  Cone Beam X-ray Luminescence Computed Tomography Based on Bayesian Method.

Authors:  Guanglei Zhang; Fei Liu; Jie Liu; Jianwen Luo; Yaoqin Xie; Jing Bai; Lei Xing
Journal:  IEEE Trans Med Imaging       Date:  2016-08-26       Impact factor: 10.048

9.  Limited view cone-beam x-ray luminescence tomography based on depth compensation and group sparsity prior.

Authors:  Peng Gao; Junyan Rong; Tianshuai Liu; Wenli Zhang; Bin Lan; Xiaoping Ouyang; Hongbing Lu
Journal:  J Biomed Opt       Date:  2020-01       Impact factor: 3.170

10.  A Finite Element Mesh Regrouping Strategy-Based Hybrid Light Transport Model for Enhancing the Efficiency and Accuracy of XLCT.

Authors:  Yanqiu Liu; Xiangong Hu; Mengxiang Chu; Hongbo Guo; Jingjing Yu; Xiaowei He
Journal:  Front Oncol       Date:  2022-01-17       Impact factor: 6.244

  10 in total

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