Electron Density Phantom

Model 062M
CORRELATE CT NUMBER AND TISSUE ELECTRON DENSITY

Because CT scans are used to correct for tissue inhomogeneities in radiotherapy treatment planning, it’s important to obtain a precise relationship between CT number (in Hounsfield units) and electron densities. The Model 062M Electron density phantom enables precise correlation of CT data to electron density of various tissues and is manufactured from CIRS tissue equivalent materials.

The Model 062M consists of two nested disks made from Plastic Water ® -LR. They can represent both head and abdomen configurations. Nine different tissue equivalent electron density plugs can be positioned at 17 different locations within the scan field. Included is a water vial plug that can be filled with any fluid. Optional distance marker plugs enable quick assessment of the CT scanner’s distance measurement accuracy.

Physicists performing treatment planning need accurate tools to evaluate CT scan data, correct for inhomogeneities and to document the relationship between CT number and tissue density. To improve the accuracy of your treatment planning, consider the CIRS Model 062 Electron Density Phantom.

The 062M is just one of three configurations available as a part of the Cone Beam CT Electron Density & Image Quality Phantom System.

Features:
  • Evaluate CT scan data
  • Correct for inhomogeneities
  • Document relationship between CT number and tissue electron density
  • Simulate indicated tissue within the diagnostic energy range
  • Quick assessment of distance registration

NOTE: This product or an optional accessory of this product requires a CIRS dosimetry cavity code before an order can be placed. Please refer to the Dosimetry Cavity Codes document to identify the CIRS code for the probe you intend to use with this product.

Data Sheet

Electron Density Phantom: Data Sheet

Brochure

CBCT Electron Density & Image Quality Phantom System: Brochure

Dosimetry Cavity Codes

Cavity Codes for Dosimetry Devices

'Estimation and evaluation of pseudo-CT images using linear regression models and texture feature extraction from MRI images in the brain region to design external radiotherapy planning'. Reports of Practical Oncology & Radiotherapy. 2020; 25 (5): 738-745. Elsevier. View

Summary: In this effort to develop Pseudo-CT planning images from MRIs of the head, the 62M electron density phantom was used to verify the accuracy of the HU-to-electron density measurement obtained from the reference CT scan.
'Estimation of Effective Atomic Number using Dual-Energy Imaging of CT Simulator for Radiation Therapy'. Transaction of the Korean Nuclear Society Virtual Autumn Meeting. 2020; View

Summary: measurements of electron density were used to estimate effective atomic numbers with a CT simulator. Implementation of appropriate noise reduction techniques is recommended before this technique can replace DECT measurements.
'Dose calculation on dual energy CT images for carbon ion therapy using TOPAS: a Monte Carlo Study'. Transaction of the Korean Nuclear Society Virtual Autumn Meeting. 2020; View

Summary: Single-energy CT reference data from the 62M was used to create an effective atomic number (Zeff) of each tissue imaged under dual-energy CT. Zeff was was then used model dose delivery during carbon ion radiotherapy using the TOPAS Model Carlo simulation.
'Material Decomposition in Spectral CT using deep learning: A Sim2Real transfer approach'. IEEE Access. 2021; 9: 25632-25647. IEEE. View

Summary: Testing of a deep-learning algorithm designed to improve the speed and accuracy of spectral CT systems, performed in part on the CIRS Model 62M, is described.
'Influence of acquisition parameters on MV-CBCT image quality'. JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS. 2012; 13 (1): 14-26. View
'Evaluating the Impact of CT Scanning Parameters on Dose Calculations by the Treatment Planning System in External Beam Radiation Therapy'. 2020; View
'Deriving the Effective Atomic Number with a Dual-Energy Image Set Acquired by the Big Bore CT Simulator'. Journal of Radiation Protection and Research. 2020; 45 (4): 171-177. Korean Association for Radiation Protection. View
'On the molecular relationship between Hounsfield Unit (HU), mass density, and electron density in computed tomography (CT)'. Plos one. 2020; 15 (12): e0244861. Public Library of Science San Francisco, CA USA. View
'Body size and tube voltage dependent corrections for Hounsfield Unit in medical X-ray computed tomography: theory and experiments'. Scientific RepoRtS. 2020; 10 (1): 44206. Nature Publishing Group. View
'Physical and mechanical properties of soy-lignin bonded Rhizophora spp. particleboard as a tissue-equivalent phantom material'. BioResources. 2020; 15 (3): 5558-5576. View
'Development of a CT number calibration audit phantom in photon radiation therapy: A pilot study'. Medical physics. 2020; 47 (4): 1509-1522. Wiley Online Library. View
'Effect of X-ray beam energy and image reconstruction technique on computed tomography numbers of various tissue equivalent materials'. Radiography. 2021; 27 (1): 95-100. WB Saunders. View
'Characterization of soy-lignin bonded Rhizophora spp. Particleboard as substitute phantom material for radiation dosimetric studies–Investigation of CT number, mass attenuation coefficient and effective atomic number'. Applied Radiation and Isotopes. 2021; View
'Feasibility of using megavoltage computed tomography to reduce proton range uncertainty: A simulation study'. Journal of Applied Clinical Medical Physics. 2021; View
'Characterization of soy-lignin bonded Rhizophora spp. particleboard as substitute phantom material for radiation dosimetric studies–Investigation of CT number, mass attenuation coefficient and effective atomic number'. Applied Radiation and Isotopes. 2021; 170: 109601. Pergamon. View
'Validation of the tomography calibration curve for the Radiotherapy planning system at the National Cancer Institute'. View
'Feasibility of energy-resolved dose imaging technique in pencil beam scanning mode'. Biomedical Physics & Engineering Express. 2020; 6 (6): 65009. IOP Publishing. View

References

Model: 062M Modalities: ,