Non-Negative Iterative Convex Refinement Approach for Accurate and Robust Reconstruction in Cerenkov Luminescence Tomography

Cai, Meishan; Zhang, Zeyu; Shi, Xiaojing; Yang, Junying; Hu, Zhenhua; Hui, Hui

doi:10.1109/tmi.2020.2987640

Cited by 35 publications

(11 citation statements)

References 35 publications

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“…According to the real head structure of mice, a cylindrical heterogeneous phantom (Figure 1A) (radius = 1 cm, height = 2 cm) was constructed, containing different organs, muscle, skull and brain [27]. The empirical optical properties of different tissues at a wavelength of 650 nm were used for all the numerical simulations and the in vivo experiments are displayed in Table 1 [12,29]. The forward model of photon propagation and light source reconstruction was established using the finite element method.…”

Section: Methodsmentioning

confidence: 99%

A novel weighted auxiliary set matching pursuit method for glioma in Cerenkov luminescence tomography reconstruction

Guo

Cai

Zhang

et al. 2022

Journal of Biophotonics

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Cerenkov luminescence tomography (CLT) is a promising three‐dimensional imaging technology that has been actively investigated in preclinical studies. However, because of the ill‐posedness in the inverse problem of CLT reconstruction, the reconstruction performance is still not satisfactory for broad biomedical applications. In this study, a novel weighted auxiliary set matching pursuit (WASMP) method was explored to enhance the accuracy of CLT reconstruction. The numerical simulations and in vivo imaging studies using tumor‐bearing mice models were conducted to evaluate the performance of the WASMP method. The results of the above experiments proved that the WASMP method achieved superior reconstruction performance than other approaches in terms of positional accuracy and shape recovery. It further demonstrates that the atom selection strategy proposed in this study has a positive effect on improving the accuracy of atoms. The proposed WASMP improves the accuracy for CLT reconstruction for biomedical applications.

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Section: Methodsmentioning

confidence: 99%

A novel weighted auxiliary set matching pursuit method for glioma in Cerenkov luminescence tomography reconstruction

Guo

Cai

Zhang

et al. 2022

Journal of Biophotonics

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“…Thus, optical imaging, an important branch of molecular imaging technology, has become one of the most widely used techniques in the field, as it can quantify the living biological processes from the cellular and molecular levels (4-10) and may provide a solution to early diagnosis of gastric cancer. In particular, Cerenkov luminescence imaging, which is based on the Cerenkov radiation effect (11)(12)(13), can solve the problem of limited available probes for clinical applications of optical imaging techniques (14)(15)(16)(17)(18)(19)(20). The emergent Cerenkov luminescence endoscopy (CLE), the product of further combination with endoscopic detection techniques, can overcome the issue of limited penetration depth encountered in the optical imaging of gastric cancer.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity improved Cerenkov luminescence endoscopy using optimal system parameters

Chen¹,

Wang²,

Yan³

et al. 2022

Quant Imaging Med Surg

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Background: The challenges of clinical translation of optical imaging, including the limited availability of clinically used imaging probes and the restricted penetration depth of light propagation in tissues can be avoided using Cerenkov luminescence endoscopy (CLE). However, the clinical applications of CLE are limited due to the low signal level of Cerenkov luminescence and the large transmission loss caused by the endoscope, which results in a relatively low detection sensitivity of current CLE. The aim of this study was to enhance the detection sensitivity of the CLE system and thus improve the system for clinical application in the detection of gastrointestinal diseases.Methods: Four optical fiber endoscopes were customized with different system parameters, including monofilament (MF) diameter of imaging fiber bundles, fiber material, probe coating, etc. The endoscopes were connected to the detector via a specifically designed straight connection device to form the CLE system. The β-2-[ 18 F]-Fluoro-2-deoxy-D-glucose ( 18 F-FDG) solution and the radionuclide of Gallium-68 ( 68 Ga) were used to evaluate the performance of the CLE system. The images of the 18 F-FDG solution acquired by the CLE were used to optimize imaging parameters of the system. By using the endoscope with optimized parameters, including the MF diameter of imaging fiber bundles, fiber materials, etc., the resolution and sensitivity of the assembled CLE system were measured by imaging the radionuclide of 68 Ga. Results:The results of 18 F-FDG experiments showed that larger MF diameter led to higher collection efficiency. The fiber material and probe coating with high transmission ratios in the range of 400-900 nm also increased signal collection and transmission efficiency. The results of 68 Ga evaluations showed that a minimum radioactive activity of radionuclides as low as 0.03 μCi was detected in vitro within 5 minutes, while that of 0.68 μCi can be detected within 1 minute. In vivo experiments also demonstrated that the developed CLE system achieved a high sensitivity at a submicrocurie level; that is, 0.44 μCi within 5 minutes, and 0.83 μCi within 1 minute. The weaker in vivo sensitivity was due to the attenuation of the signal by the mouse tissue skin and the autofluorescence interference produced by biological tissues.Conclusions: By optimizing the structural parameters of fiber endoscope and imaging parameters for data 2 Chen et al. Sensitivity improved CLE system

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“…Therefore, a new optical imaging method, Cerenkov luminescence tomography (CLT), combined with CLI and 3D anatomical imaging modality, has been developed. Compared with CLI, CLT can obtain the internal and external contour or boundary of biological tissues with the 3D anatomical imaging modality and determine the 3D spatial distribution of radioactive source in biological tissues (11)(12)(13)(14)(15).…”

Section: Introductionmentioning

confidence: 99%

A Multilevel Probabilistic Cerenkov Luminescence Tomography Reconstruction Framework Based on Energy Distribution Density Region Scaling

Wei

Guo

et al. 2021

Front. Oncol.

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Cerenkov luminescence tomography (CLT) is a promising non-invasive optical imaging method with three-dimensional semiquantitative in vivo imaging capability. However, CLT itself relies on Cerenkov radiation, a low-intensity radiation, making CLT reconstruction more challenging than other imaging modalities. In order to solve the ill-posed inverse problem of CLT imaging, some numerical optimization or regularization methods need to be applied. However, in commonly used methods for solving inverse problems, parameter selection significantly influences the results. Therefore, this paper proposed a probabilistic energy distribution density region scaling (P-EDDRS) framework. In this framework, multiple reconstruction iterations are performed, and the Cerenkov source distribution of each reconstruction is treated as random variables. According to the spatial energy distribution density, the new region of interest (ROI) is solved. The size of the region required for the next operation was determined dynamically by combining the intensity characteristics. In addition, each reconstruction source distribution is given a probability weight value, and the prior probability in the subsequent reconstruction is refreshed. Last, all the reconstruction source distributions are weighted with the corresponding probability weights to get the final Cerenkov source distribution. To evaluate the performance of the P-EDDRS framework in CLT, this article performed numerical simulation, in vivo pseudotumor model mouse experiment, and breast cancer mouse experiment. Experimental results show that this reconstruction framework has better positioning accuracy and shape recovery ability and can optimize the reconstruction effect of multiple algorithms on CLT.

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Non-Negative Iterative Convex Refinement Approach for Accurate and Robust Reconstruction in Cerenkov Luminescence Tomography

Cited by 35 publications

References 35 publications

A novel weighted auxiliary set matching pursuit method for glioma in Cerenkov luminescence tomography reconstruction

A novel weighted auxiliary set matching pursuit method for glioma in Cerenkov luminescence tomography reconstruction

Sensitivity improved Cerenkov luminescence endoscopy using optimal system parameters

A Multilevel Probabilistic Cerenkov Luminescence Tomography Reconstruction Framework Based on Energy Distribution Density Region Scaling

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