Realistic head phantom with arteriovenous malformation and low-contrast lesions for CT, CBCT, imaging performance evaluation, and AI-enabled diagnosis.
Compatible with: Head, Neck, CT Simulation, CBCT
Used for: Head, Neck
Head / Neck Phantom CTA AVM / lesion
This phantom simulates a contrast medium enhanced head in arterial phase (CT angiography). It covers the vertex to the fifth cervical vertebra.
The phantom has 10 low-contrast lesions in the centrum semiovale and the right hemisphere has an arteriovenous malformation.
The phantom can be used in CT (including CBCT) to evaluate and optimize imaging performance and AI-enabled diagnosis. It is also suited for training purposes.
The phantom provides a detailed and realistic simulation of vascular structures, soft and bone tissue. Air voids are filled with a cellulose-polymer composite of approx. -160 HU.
Features
Specifications
- Size: Approx. 186 x 224 x 269 mm
- Weight: Approx. 5120 g
- Base material: Cellulose-polymer composite
- Optimal tube voltage: 120 kVp – adaptable upon request –
Diagnostic features
Realistic simulation of head vessels, bone and soft tissues. Arteriovenous malformation of the right hemisphere. 5 rod-shaped lesions on each side in the centrum semiovale at the periventricular and supraventricular level. Lesion diameter: 10 mm Lesion height: 10.5 mm Lesion contrast: Approx. -60 to -20 and 20 to 60 HU at 120 kVp
Packaging & Dimensions
The product ships in a protective hard case featuring interior foam padding.
- Dimensions (case): 520 x 350 x 220 mm
- Dimensions (packaged)*: 572 x 425 x 239 mm
- Total weight (ready to ship): 12.0 kg
*Outer packaging (e.g., cardboard box or protective wrap) may vary slightly, affecting total dimensions.
Clinically Realistic Phantoms for End-to-End Imaging and AI QA
PhantomX supplies a new generation of highly realistic phantoms for clinical imaging and AI in medical imaging. Advanced technologies, innovation and and science are used to create optimal solutions for clinical diagnostic workflows. Accelerated development, improved diagnostic outcomes and reliable AI deployment can improve patient care, efficiency and accessibility in diagnostic imaging.
