Small Animal Absorbed Radiation Dose from Serial Micro-Computed Tomography Imaging

2007 ◽  
Vol 9 (2) ◽  
pp. 78-82 ◽  
Author(s):  
Stephanie K. Carlson ◽  
Kelly L. Classic ◽  
Claire E. Bender ◽  
Stephen J. Russell
2019 ◽  
Vol 18 ◽  
pp. 153303381984448
Author(s):  
Tao Lin ◽  
Xinye Ni ◽  
Liugang Gao ◽  
Jianfeng Sui ◽  
Kai Xie ◽  
...  

Purpose: To study the effect of a metal tracheal stent on radiation dose distribution. Method: A metal tube bracket is placed in a self-made foam tube sleeve, and micro-computed tomography scanning is performed directly. The foam sleeve containing the metal bracket is placed in a nonuniform phantom for a routine computed tomography scan. The stents in conventional computed tomography images are replaced by the stents in micro-computed tomography images. Subsequently, 2 sets of computed tomography images are obtained and then imported to a radiotherapy treatment planning system. A single photon beam at 0° is designed in a field size of 10 cm × 10 cm, a photon beam of 6 MV, and a monitor unit of 200 MU. Monte Carlo algorithm is used to calculate the dose distribution and obtain the dose curve of the central axis of the field. The dose is verified with thermoluminescence dose tablets. Results: The micro-computed tomography images of the tracheal stent are clearer and less false-like than its conventional computed tomography images. The planned dose curves of the 2 groups are similar. In comparison with the images without any stents in place, the doses at the incident surface of the stent in the conventional computed tomography images and at the stent exit surface in the rear of the stent increase by 1.86% and 2.76%, respectively. In the micro-computed tomography images, the doses at the incident surface of the stent and at the exit surface behind the stent increase by 1.32% and 1.19%, respectively. Conventional computed tomography reveals a large deviation between the measured and calculated values. Conclusion: Tracheal stent based on micro-computed tomography imaging has a less effect on radiotherapy calculation than that based on conventional computed tomography imaging.


2021 ◽  
pp. 1-12
Author(s):  
Ignacio O. Romero ◽  
Changqing Li

BACKGROUND: Pencil beam X-ray luminescence computed tomography (XLCT) imaging provides superior spatial resolution than other imaging geometries like sheet beam and cone beam geometries. However, the pencil beam geometry suffers from long scan times, resulting in concerns overdose which discourages the use of pencil beam XLCT. OBJECTIVE: The dose deposited in pencil beam XLCT imaging was investigated to estimate the dose from one angular projection scan with three different X-ray sources. The dose deposited in a typical small animal XLCT imaging was investigated. METHODS: A Monte Carlo simulation platform, GATE (Geant4 Application for Tomographic Emission) was used to estimate the dose from one angular projection scan of a mouse leg model with three different X-ray sources. Dose estimations from a six angular projection scan by three different X-ray source energies were performed in GATE on a mouse trunk model composed of muscle, spine bone, and a tumor. RESULTS: With the Sigray source, the bone marrow of mouse leg was estimated to have a radiation dose of 44 mGy for a typical XLCT imaging with six angular projections, a scan step size of 100 micrometers, and 106 X-ray photons per linear scan. With the Sigray X-ray source and the typical XLCT scanning parameters, we estimated the dose of spine bone, muscle tissues, and tumor structures of the mouse trunk were 38.49 mGy, 15.07 mGy, and 16.87 mGy, respectively. CONCLUSION: Our results indicate that an X-ray benchtop source (like the X-ray source from Sigray Inc.) with high brilliance and quasi-monochromatic properties can reduce dose concerns with the pencil beam geometry. Findings of this work can be applicable to other imaging modalities like X-ray fluorescence computed tomography if the imaging protocol consists of the pencil beam geometry.


Scanning ◽  
2002 ◽  
Vol 24 (4) ◽  
pp. 186-190 ◽  
Author(s):  
Birgit Kantor ◽  
Steven M. Jorgensen ◽  
Patricia E. Lund ◽  
Michael S. Chmelik ◽  
Denise A. Reyes ◽  
...  

2014 ◽  
Vol 19 (5) ◽  
pp. 343-350 ◽  
Author(s):  
Bashar Ababneh ◽  
Loui Rejjal ◽  
Yashashwi Pokharel ◽  
Vijay Nambi ◽  
Xukui Wang ◽  
...  

2020 ◽  
Vol 12 (2-4) ◽  
pp. 268-269
Author(s):  
N. Pallares Lupon ◽  
J. Duchâteau ◽  
L. Yessad ◽  
M. Constantin ◽  
G. Ramlugun ◽  
...  

2014 ◽  
Vol 10 (10) ◽  
pp. 4377-4389 ◽  
Author(s):  
Olaia F. Vila ◽  
Mikaël M. Martino ◽  
Laura Nebuloni ◽  
Gisela Kuhn ◽  
Soledad Pérez-Amodio ◽  
...  

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