Evidence map›Paper›PMID 37633836›Full record

ArticleMedical physics2023

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

Xiangkun Xu, Zijian Deng, Daniel Sforza, Zhishen Tong, Yu-Pei Tseng, Ciara Newman, Merle Reinhart, Paul Tsouchlos, Tim Devling, Hamid Dehghani and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Frontiers in bioengineering and biotechnology · 2026
    Article
  4. Article
  5. Article
  6. Biomedical optics express · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 2 countries.

Xiangkun XuBiomedical Imaging and Radiation Technology Laboratory (BIRTLab), Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Zijian DengBiomedical Imaging and Radiation Technology Laboratory (BIRTLab), Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Daniel SforzaDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland, USA.
Zhishen TongBiomedical Imaging and Radiation Technology Laboratory (BIRTLab), Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Yu-Pei TsengBiomedical Imaging and Radiation Technology Laboratory (BIRTLab), Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Ciara NewmanBiomedical Imaging and Radiation Technology Laboratory (BIRTLab), Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Merle ReinhartXstrahl Inc., Suwanee, Georgia, USA.
Paul TsouchlosXstrahl Inc., Suwanee, Georgia, USA.
Tim DevlingXstrahl Inc., Suwanee, Georgia, USA.
Hamid DehghaniSchool of Computer Science, University of Birmingham, Birmingham, UK.
Iulian IordachitaLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, Maryland, USA.
John W WongDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland, USA.
Ken Kang-Hsin WangBiomedical Imaging and Radiation Technology Laboratory (BIRTLab), Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
The University of Texas Southwestern Medical Center · USJohns Hopkins University · USThe Thousand · USUniversity of Birmingham · GB

Funding

X-ray/optical tomographic guidance and assessment for pre-clinical radiation ResearchR37CA230341 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI WANG, KEN KANG-HSIN · 2019 to 2025
$2.2M
Quantitative bioluminescence tomography for pre-clinical radiotherapy researchR01CA240811 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI WANG, KEN KANG-HSIN · 2019 to 2023
$1.3M
A pre-clinical x-ray/optical tomography-guided radiation research platform for pancreatic cancerR21CA223403 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI WANG, KEN KANG-HSIN · 2018 to 2019
$386k
NCI NIH HHS R01 CA240811NCI NIH HHS R21 CA223403NCI NIH HHS R37 CA230341
6 · The paper itself

Abstract

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. PURPOSE: To 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.

Indexed as

Cone-Beam Computed TomographyAnimalsImage Processing, Computer-AssistedLuminescent MeasurementsMicePhantoms, ImagingRadiotherapy, Image-Guidedbioluminescence tomographyimage-guidancepre-clinical researchradiation therapysmall animal irradiator

Identifiers

PMID37633836
PMCPMC10592094
OpenAlexW4386198445

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.