Multi-Energy CT Phantom - Gammex - 1472-STD-KIT
Ensure the performance and consistency of your multi-energy scans

In collaboration with The University of Texas MD Anderson Cancer Center, Gammex has developed a phantom to enable robust evaluation of Multi-Energy CT Scanner performance.

Multi-Energy CT Scanners have enabled improved clinical differentiations, such as distinguishing blood from calcification and calcification from iodinated contrast.1,2 They can also create virtual mono-energetic images for clinical evaluation. However, the ability to achieve these benefits can greatly depend not only on one's equipment, but also on the protocols used.

The Multi-Energy CT Phantom will enable robust evaluation of scanner performance.
Ensure the accuracy you need

Accuracy can vary based upon scanner hardware, the dual energy post-processing, and the mAs used. Without an appropriate phantom, neither scanner accuracy nor variability are well known. Use of the calibrated high-Z inserts enables such quantification. Additionally, protocols that appropriately balance patient dose with system performance can be identified.

Multi-Energy CT Phantom - Gammex - 1472-STD-KIT - Graph 1
2mg/mL iodine rod quantification accuracy by mAs for 10 fast-kVp switching
Multi-Energy CT scanners. Accuracy averaged over a 1 year period.

Enhance confidence in your virtual mono-energetic images.

Monochromatic HU numbers have been shown to vary between scanners.3 Moreover, the performance of multi-energy algorithms can be compromised by insufficient mAs. By utilizing a tissue-mimicking material that replicates expected HU dependencies from 40-200 keV, the Multi-Energy CT Phantom lets you quantify these effects and define effective operating parameters.

Multi-Energy CT Phantom - Gammex - 1472-STD-KIT - Graph 2

Average soft tissue monoenergetic HU for 50, 70, 110, and 140 keV reconstructions versus mAs, averaged over a 1 year period. Protocols left of the red dashed line were insufficient to provide reliable HU values.

Evaluate an extended field-of-view

The ACR Quality Control Manual recommends checking for artifacts in a larger phantom on a weekly or monthly basis. The 40 cm extended field size of the Multi-Energy CT phantom enables this artifact check to be performed concurrently with other evaluations, efficiently fitting into your workflow.

Multi-Energy CT Phantom - Gammex - 1472-STD-KIT - Graph 3

HU values of iodinated rod for mono-energetic reconstructions. Calculated values based on material compositions and NIST values (blue curve) vs HU values from mono-energetic reconstructions (red circles).

In-plane Dimensions 40.0 cm (15.7 in) x 30.0 cm (11.8 in)
Depth 16.5 cm (6.3 in), up to 26.5 cm (10.2 in) with extension plates
Diameter of Removable Head Section 20.0 cm (7.87 in)
Material Energy-Matched CT HE Solid Water
Interchangeable Inserts 18 solid inserts plus 1 true water container
Iodine Inserts with Variable Concentrations 4 inserts with concentrations of 2.0, 5.0, 10.0, and 15.0 mg/mL
Iodine Inserts with Variable Diameters 5.0 mg/mL concentration at diameters of 2.0, 5.0, and 10.0 mm
Calcium Inserts Calcium concentrations of 50, 100, and 300 mg/mL
Blood [iron] Inserts Blood-mimicking material at relative electron densities of 1.03, 1.07, and 1.10
Blood [iron] with Iodine Inserts Blood-mimicking material plus iodine at 2.0 and 4.0 mg/mL
Additional Inserts High-Equivalency Brain, High-Equivalency Adipose, High-Equivalency CT Solid Water
Weight 15.5 kg (34.1 lbs)
Case Wheeled case is included
Stand Stand is included


Multi-Energy CT Phantom - Gammex - 1472-STD-KIT - Accessories

A wheeled case and stand are included with your Multi-Energy CT Phantom


1 Nute JL, Jacobsen MC, Chandler A, Cody DD, Schellinghout D, Dual-Energy Computed Tomography for the Characterization of Intracranial Hemorrhage and Calcification: A Systematic Approach in a Phantom System. Invest Radiol. 2016; Jul 1

2 Knoss N, Hoffman B, Krauss B, et al. Dual energy computed tomography of lung nodules: Differentiation of iodine and calcium in artificial pulmonary nodules in vitro. Eur J Radiology. 2011; 80(3): E516-519

3 Mileto A, Barina A, Marin D, Stinnett S, Choudhury K, Wilson J, Nelson R Virtual monochromatic images from dual-energy multidetector CT: Variance in CT numbers from the same lesion between single-source projection-based and dual-source image-based implementations Radiology 2016 (in press)
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