Spectral-resolved cone-beam X-ray luminescence computed tomography with principle component analysis

Pu, Huangsheng; Gao, Peng; Rong, Junyan; Zhang, Wenli; Liu, Tianshuai; Lu, Hongbing

doi:10.1364/boe.9.002844

Cited by 7 publications

(4 citation statements)

References 35 publications

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“…CNR ¼ jMean ROI − Mean BK j ðwVar 2 ROI þ ð1 − wÞVar 2 BK Þ 1∕2 ; (13) where the subscripts ROI and BK denote the target and background regions, respectively, mean and var denote the mean value and variance, respectively, and w is the weighting factor calculated by the relative volumes of the ROI.…”

Section: Quantitative Evaluationmentioning

confidence: 99%

“…Narrow-beam 2,3 and pencilbeam XLCT 8,9 can achieve high spatial resolution, but the long imaging time hinders their application to fast biomedical applications. To reduce imaging time, cone-beam XLCT (CB-XLCT) systems [10][11][12][13] have been proposed for fast imaging to skip the translation step essential in narrowand pencil-beam XLCT systems. However, due to high light scattering and low absorption properties in biological tissues, the reconstruction of CB-XLCT is an ill-posed problem.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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Significance: As a promising hybrid imaging technique with x-ray excitable nanophosphors, cone-beam x-ray luminescence computed tomography (CB-XLCT) has been proposed for in-depth biological imaging applications. In situations in which the full rotation of the imaging object (or x-ray source) is inapplicable, the x-ray excitation is limited by geometry, or a lower x-ray excitation dose is mandatory, limited view CB-XLCT reconstruction would be essential. However, this will result in severe ill-posedness and poor image quality. Aim: The aim is to develop a limited view CB-XLCT imaging strategy to reduce the scanning span and a corresponding reconstruction method to achieve robust imaging performance. Approach: In this study, a group sparsity-based reconstruction method is proposed with the consideration that nanophosphors usually cluster in certain regions, such as tumors or major organs such as the liver. In addition, depth compensation (DC) is adopted to avoid the depth inconsistency caused by a limited view strategy. Results: Experiments using numerical simulations and physical phantoms with different edgeto-edge distances were carried out to illustrate the validity of the proposed method. The reconstruction results showed that the proposed method outperforms conventional methods in terms of localization accuracy, target shape, image contrast, and spatial resolution with two perpendicular projections. Conclusions: A limited view CB-XLCT imaging strategy with two perpendicular projections and a reconstruction method based on DC and group sparsity, which is essential for fast CB-XLCT imaging and for some practical imaging applications, such as imaging-guided surgery, is proposed.

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Section: Quantitative Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2020

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“…In related studies on XLCT at present, nanophosphors inside an imaging object, irradiated by X-rays, emit visible or near-infrared (NIR) light that can be detected by an optical detector ( 15 ). According to literature research results, Eu 3+ -based [Eu 2 O 3 ( 13 ), Y 2 O 3 :Eu 3+ ( 16 ), GOS:Eu 3+ ( 17 )] and Tb 3+ -based [Gd 2 O 2 S:Tb 3+ ( 18 )] nanometer materials are often used as X-ray excitable nanophosphors. Yang et al.…”

Section: Introductionmentioning

confidence: 99%

“…In related studies on XLCT at present, nanophosphors inside an imaging object, irradiated by X-rays, emit visible or nearinfrared (NIR) light that can be detected by an optical detector (15). According to literature research results, Eu 3+ -based [Eu 2 O 3 (13), Y 2 O 3 :Eu 3+ (16), GOS:Eu 3+ (17)] and Tb 3+ -based [Gd 2 O 2 S: Tb 3+ (18)] nanometer materials are often used as X-ray excitable nanophosphors. Yang et al studied that Eu 3+ has several weak emission peaks at 533, 580, 586, 592, 599, 650, and 706 nm, and 610 nm is the highest emission peak under ultraviolet excitation (259 nm), which shows a strong red emission (19).…”

Section: Introductionmentioning

confidence: 99%

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

Chu

et al. 2022

Front. Oncol.

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X-ray luminescence computed tomography (XLCT) is an emerging hybrid imaging modality in optical molecular imaging, which has attracted more attention and has been widely studied. In XLCT, the accuracy and operational efficiency of an optical transmission model play a decisive role in the rapid and accurate reconstruction of light sources. For simulation of optical transmission characteristics in XLCT, considering the limitations of the diffusion equation (DE) and the time and memory costs of simplified spherical harmonic approximation equation (SPN), a hybrid light transport model needs to be built. DE and SPN models are first-order and higher-order approximations of RTE, respectively. Due to the discontinuity of the regions using the DE and SPN models and the inconsistencies of the system matrix dimensions constructed by the two models in the solving process, the system matrix construction of a hybrid light transmission model is a problem to be solved. We provided a new finite element mesh regrouping strategy-based hybrid light transport model for XLCT. Firstly, based on the finite element mesh regrouping strategy, two separate meshes can be obtained. Thus, for DE and SPN models, the system matrixes and source weight matrixes can be calculated separately in two respective mesh systems. Meanwhile, some parallel computation strategy can be combined with finite element mesh regrouping strategy to further save the system matrix calculation time. Then, the two system matrixes with different dimensions were coupled though repeated nodes were processed according to the hybrid boundary conditions, the two meshes were combined into a regrouping mesh, and the hybrid optical transmission model was established. In addition, the proposed method can reduce the computational memory consumption than the previously proposed hybrid light transport model achieving good balance between computational accuracy and efficiency. The forward numerical simulation results showed that the proposed method had better transmission accuracy and achieved a balance between efficiency and accuracy. The reverse simulation results showed that the proposed method had superior location accuracy, morphological recovery capability, and image contrast capability in source reconstruction. In-vivo experiments verified the practicability and effectiveness of the proposed method.

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Growth phase diagram and X-ray excited luminescence properties of NaLuF4:Tb3+ nanoparticles

Zhang

Lei

et al. 2023

Arabian Journal of Chemistry

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Spectral-resolved cone-beam X-ray luminescence computed tomography with principle component analysis

Cited by 7 publications

References 35 publications

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

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

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

Growth phase diagram and X-ray excited luminescence properties of NaLuF4:Tb3+ nanoparticles

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