ANATOM 64 Clarity 64-slice spiral CT

ANATOM 64 Clarity uses a full-flow artificial intelligence platform from patient positioning, scanning, dose control, artefact suppression, energy spectrum imaging, image noise reduction and image post-processing to diagnostic assistance, making « artificial intelligence technology » a real assistant for operating technologists and diagnosing doctors, improving examination efficiency and diagnostic accuracy comprehensively.


ANATOM 64 Clarity adopts ANKE’s self-developed 2-cm OptiWave detector, which is organised and supported by the Ministry of Industry and Information Technology of the People’s Republic of China. It is designed with an isofocal hardware structure, combined with the AccuShape3D stereoscopic anti-scattering grids, so that the distance from the X-rays to the corresponding receiving unit of the detector is the same. In addition of obtaining high quality, high resolution images, it also achieves 2cm wide body coverage in both axial and spiral scanning, which not only improves examination efficiency but also enriches clinical applications.

Field replaceable unit (FRU) design, the key parts be easily disassembled, all are in order to achieve the purpose of simplifying the maintenance operation and reducing the maintenance time.

Each detector module can be independent of disassembly and replacement which makes the detector module maintenance and system upgrades completed quickly at the scene. It can reduce the user’s operation and maintenance costs, on the other hand, ensure the equipment with continuous upgrading ability.

Under the same conditions, the service life of the CT detector depends on the decay amplitude of the output signal induced by accumulated exposure dose over time.

OptiWave detector has been designed of the optimal structure, even after 10 years of use, the radiation damage caused by signal attenuation is less than 8%. It not only prolongs the service life of the detector but also ensures the users’ maximum return on investment.

Whith the help of a deep binocular visual perception system-AccuPositioning, deep learning is used to give the device the cognitive ability and behaviour to enable the system to intelligently identify multiple positioning points on the human body and display the scanning site on the intelligent touch screen terminal.

As well it enables automatically identify the isocentric position of the proposed scanning site to achieve precise and intelligent patient positioning. Through the application of this technology, it not only substantially improves the accuracy of patient positioning and reduces operational errors, but also better protects patients from the risk of collision and accidental injury.

More importantly, the AccuPositioning system also helps the technician to standardise operations and mitigate the increase in radiation dose to the patient’s surface due to inaccurate positioning, while further reducing image noise, reducing artefacts and improving image quality.