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MinFound Medical Systems

MinFound Medical Systems
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QuantumEye 789 | 512 slices

QuantumEye 789 | 512 slices

Overview

QuantumEye series as a high-end 512-slice CT apart from facilitating complex routine scans also has the full capability of becoming a valuable appliance in advanced researches. QuantumEye CT scanner stands out with such features, as DivineLight detector that has a Z-axis coverage up to 160 mm, the DivineArk gantry system that enables a rotation speed up to 0.25 seconds, and AI-empowered workflow. As a result, challenging clinical scans including one-stop stroke imaging, CTA scan as well as emergency CT scans have never been so easy and safe for both patients and clinicians.

QuantumEye 789 | 512 slices

Features & Benefits

DivineLight Detector Technology
DivineLight Detector Technology
The 256-row DivineLight detector combines features of 160 mm whole-organ coverage in Z-axis, enhanced DivineLight scintillator, and spherical surface design as a whole, and utilizes the bottom-up approach to improve X-ray efficiency and reduce noise to eventually deliver sharp, high-resolution images at the lowest possible dose. 

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DivineArk System
DivineArk System
The DivineArk gantry uses a magnetic suspension bearing (Maglev) and a direct-drive motor to achieve a rotation speed of 0.25 seconds. The Maglev provides for contact-free operation between the rotor and the stator, resulting in greater acceleration to reach the specified speed quickly in the silent mode ( 20dB lower than the traditional one). The use of a direct-drive motor also efficiently reduces artifacts, resulting in more stable and precise imaging.
80 cm Big Bore
80 cm Big Bore

The big-bore design accommodates for larger patients and improves the scan experience for patients by reducing the impression of construction. It's also a good option for interventional treatment and CT-Simulation.

Efficient Dose Management
Efficient Dose Management

NDI NanoDose Iteration Algorithm (NDI) is an innovative iterative technique for image reconstruction that takes full advantage of deep learning in anatomical structure in image space as well as model-driven iteration involving tube and detector in projection space, with the aim to generate sharp and high-resolution images at the lowest possible dose.

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