Quantitative molecular bioluminescence tomography

Bentley, Alexander; Xu, X. Frank; Deng, Zijian; Rowe, Jonathan E.; Wang, Ken Kang‐Hsin; Dehghani, Hamid

doi:10.1117/1.jbo.27.6.066004

Cited by 6 publications

(2 citation statements)

References 30 publications

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“…Then, the knowledge of the internal sources can be combined with surface light measurements to determine the optical properties of the tissue. This, however, requires novel reconstruction algorithms based on internal (rather than surface) light sources, possibly combining approaches such as those used in diffuse optical tomography [18], tomographic imaging with internal source [45], or bio-luminescence tomography [46], whilst also exploiting the wealth of prior imaging available in radiation therapy. This study illustrates the spatial characteristics of the internal sources and of the light at the patient surface and provides guidance for developing such reconstruction algorithms.…”

Section: Discussionmentioning

confidence: 99%

Cherenkov light emission in external beam radiation therapy of the larynx

Florescu,

Dubal,

Arce

et al. 2024

Preprint

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Numerical experiments for the radiation therapy of laryngeal cancer are performed using clinical data to investigate the characteristics of Cherenkov light emitted during treatment delivery, and the origin of light within the patient emerging on certain regions on the patient surface. Intensity-Modulated Radiation Therapy (IMRT) and Volumetric-Modulated Arc Radiation Therapy (VMAT), the two main treatment modalities used clinically, are considered. It is confirmed that the emitted Cherenkov light is dominant in the ultraviolet spectral region and is concentrated in tissue in regions of high-dose delivery, with the spatial distribution depending on the treatment type. The Cherenkov light at the patient surface is dominant in the near-infrared spectral region. Light emitted within the tumour and immediately surrounding tissue emerges at the patient surface on a well-defined radiation-beam-independent region that is also the region of high surface light intensity. This suggest that surface light measurements restricted to this smaller region on the patient surface (that can be determined through simulations prior to the treatment) could enable probing the tumour, while being easier to integrate with the radiotherapy system. The spectral and spatial characteristics of the emitted light that contributes to surface light (the internal light sources) are also investigated, and the unveiled characteristics can provide guidance for the development of image reconstruction algorithms for Cherenkov light-based tomographic imaging for tumour monitoring during radiation therapy.

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Section: Discussionmentioning

confidence: 99%

Cherenkov light emission in external beam radiation therapy of the larynx

Florescu,

Dubal,

Arce

et al. 2024

Preprint

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show abstract

“…15 Despite the in vivo BLT localization results with homogeneous optical property applied is encouraging and reproducible, the region with relative heterogeneous optical property could potentially affect BLT reconstruction accuracy. Our group is advancing the published algorithm, 38 which will allow the reconstruction of spatially heterogeneous optical properties while the reconstructed optical properties can be iteratively feedback to the BLT algorithm to improve localization accuracy. We recognize the animal validation shown in this work is a fraction of in vivo BLT-guided radiation research.…”

Section: Discussionmentioning

confidence: 99%

Characterization of a commercial bioluminescence tomography‐guided system for pre‐clinical radiation research

Xu,

Deng,

Sforza

et al. 2023

Medical Physics

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BackgroundWidely used Cone‐beam computed tomography (CBCT)‐guided irradiators have limitations in localizing soft tissue targets growing in a low‐contrast environment. This hinders small animal irradiators achieving precise focal irradiation.PurposeTo advance image‐guidance for soft tissue targeting, we developed a commercial‐grade bioluminescence tomography‐guided system (BLT, MuriGlo) for pre‐clinical radiation research. We characterized the system performance and demonstrated its capability in target localization. We expect this study can provide a comprehensive guideline for the community in utilizing the BLT system for radiation studies.MethodsMuriGlo consists of four mirrors, filters, lens, and charge‐coupled device (CCD) camera, enabling a compact imaging platform and multi‐projection and multi‐spectral BLT. A newly developed mouse bed allows animals imaged in MuriGlo and transferred to a small animal radiation research platform (SARRP) for CBCT imaging and BLT‐guided irradiation. Methods and tools were developed to evaluate the CCD response linearity, minimal detectable signal, focusing, spatial resolution, distortion, and uniformity. A transparent polycarbonate plate covering the middle of the mouse bed was used to support and image animals from underneath the bed. We investigated its effect on 2D Bioluminescence images and 3D BLT reconstruction accuracy, and studied its dosimetric impact along with the rest of mouse bed. A method based on pinhole camera model was developed to map multi‐projection bioluminescence images to the object surface generated from CBCT image. The mapped bioluminescence images were used as the input data for the optical reconstruction. To account for free space light propagation from object surface to optical detector, a spectral derivative (SD) method was implemented for BLT reconstruction. We assessed the use of the SD data (ratio imaging of adjacent wavelength) in mitigating out of focusing and non‐uniformity seen in the images. A mouse phantom was used to validate the data mapping. The phantom and an in vivo glioblastoma model were utilized to demonstrate the accuracy of the BLT target localization.ResultsThe CCD response shows good linearity with < 0.6% residual from a linear fit. The minimal detectable level is 972 counts for 10 × 10 binning. The focal plane position is within the range of 13–18 mm above the mouse bed. The spatial resolution of 2D optical imaging is < 0.3 mm at Rayleigh criterion. Within the region of interest, the image uniformity is within 5% variation, and image shift due to distortion is within 0.3 mm. The transparent plate caused < 6% light attenuation. The use of the SD imaging data can effectively mitigate out of focusing, image non‐uniformity, and the plate attenuation, to support accurate multi‐spectral BLT reconstruction. There is < 0.5% attenuation on dose delivery caused by the bed. The accuracy of data mapping from the 2D bioluminescence images to CBCT image is within 0.7 mm. Our phantom test shows the BLT system can localize a bioluminescent target within 1 mm with an optimal threshold and only 0.2 mm deviation was observed for the case with and without a transparent plate. The same localization accuracy can be maintained for the in vivo GBM model.ConclusionsThis work is the first systematic study in characterizing the commercial BLT‐guided system. The information and methods developed will be useful for the community to utilize the imaging system for image‐guided radiation research.

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A Graph-guided Hybrid Regularization Method For Bioluminescence Tomography

Chu

Guo

et al. 2023

Computer Methods and Programs in Biomedicine

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Quantitative molecular bioluminescence tomography

Cited by 6 publications

References 30 publications

Cherenkov light emission in external beam radiation therapy of the larynx

Cherenkov light emission in external beam radiation therapy of the larynx

Characterization of a commercial bioluminescence tomography‐guided system for pre‐clinical radiation research

A Graph-guided Hybrid Regularization Method For Bioluminescence Tomography

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