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快速X射线发光计算机断层扫描成像

Fast X-ray luminescence computed tomography imaging.

作者信息

Liu Xin, Liao Qimei, Wang Hongkai

出版信息

IEEE Trans Biomed Eng. 2014 Jun;61(6):1621-7. doi: 10.1109/TBME.2013.2294633.

DOI:10.1109/TBME.2013.2294633
PMID:24845271
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.

摘要

X射线发光计算机断层扫描(XLCT)为利用X射线进行分子成像开辟了新的可能性。然而,动态XLCT成像仍面临挑战,在这种成像中,需要同时考虑短扫描时间、良好的空间分辨率和全身视野。在本文中,通过使用基于压缩感知(CS)技术的单视图XLCT重建方法,并结合锥束XLCT成像系统,我们实现了快速三维XLCT成像。为了评估该方法的性能,基于锥束XLCT成像系统进行了两种类型的体模实验。在案例1中,将一根装有X射线可激发纳米磷光体(Gd2O3:Eu(3+))的管子浸入体模中的不同位置,以评估源位置对单视图XLCT重建精度的影响。在案例2中,将两根装有Gd2O3:Eu(3+)的管子浸入体模中的不同高度,以评估单视图XLCT重建的全身成像性能。实验结果表明,先前体模实验中使用的管子可以从单视图XCLT重建图像中分辨出来。定位误差小于1.2毫米。此外,由于实现三维XLCT成像只需要一个视图的数据,与先前的XLCT系统相比,采集时间可以大大减少(约1帧/秒)。因此,该技术适用于对生物体内X射线可激发纳米磷光体的快速分布进行成像。

相似文献

1
Fast X-ray luminescence computed tomography imaging.快速X射线发光计算机断层扫描成像
IEEE Trans Biomed Eng. 2014 Jun;61(6):1621-7. doi: 10.1109/TBME.2013.2294633.
2
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Tomographic molecular imaging of x-ray-excitable nanoparticles.X 射线激发纳米颗粒的断层分子成像。
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Cone-beam x-ray luminescence computed tomography (CB-XLCT) prototype development and performance evaluation.锥形束 X 射线发光计算机断层扫描 (CB-XLCT) 原型开发和性能评估。
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引用本文的文献

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Automated Restarting Fast Proximal Gradient Descent Method for Single-View Cone-Beam X-ray Luminescence Computed Tomography Based on Depth Compensation.基于深度补偿的单视角锥束X射线发光计算机断层成像的自动重启快速近端梯度下降法
Bioengineering (Basel). 2024 Jan 26;11(2):123. doi: 10.3390/bioengineering11020123.
2
A Finite Element Mesh Regrouping Strategy-Based Hybrid Light Transport Model for Enhancing the Efficiency and Accuracy of XLCT.一种基于有限元网格重新分组策略的混合光传输模型,用于提高X射线计算机断层扫描(XLCT)的效率和准确性。
Front Oncol. 2022 Jan 17;11:751139. doi: 10.3389/fonc.2021.751139. eCollection 2021.
3
Adaptive shrinking reconstruction framework for cone-beam X-ray luminescence computed tomography.
用于锥束X射线发光计算机断层扫描的自适应收缩重建框架
Biomed Opt Express. 2020 Jun 12;11(7):3717-3732. doi: 10.1364/BOE.393970. eCollection 2020 Jul 1.
4
High-speed X-ray-induced luminescence computed tomography.高速X射线诱导发光计算机断层扫描
J Biophotonics. 2020 Sep;13(9):e202000066. doi: 10.1002/jbio.202000066. Epub 2020 Jun 23.
5
Restarted primal-dual Newton conjugate gradient method for enhanced spatial resolution of reconstructed cone-beam x-ray luminescence computed tomography images.基于原对偶牛顿共轭梯度法的重建锥束 X 射线发光 CT 图像的增强空间分辨率方法。
Phys Med Biol. 2020 Jul 3;65(13):135008. doi: 10.1088/1361-6560/ab87fb.
6
Limited view cone-beam x-ray luminescence tomography based on depth compensation and group sparsity prior.基于深度补偿和分组稀疏先验的有限视角锥形束 X 射线发光层析成像。
J Biomed Opt. 2020 Jan;25(1):1-14. doi: 10.1117/1.JBO.25.1.016004.
7
Background luminescence in x-ray luminescence computed tomography (XLCT) imaging.X射线发光计算机断层扫描(XLCT)成像中的背景发光
Appl Opt. 2019 Feb 1;58(4):1084-1092. doi: 10.1364/AO.58.001084.
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Regularized reconstruction based on joint L and total variation for sparse-view cone-beam X-ray luminescence computed tomography.基于联合L范数和全变差的正则化重建用于稀疏视图锥束X射线发光计算机断层扫描
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