Excel Medtech - Aquilion 128 Slice

Advanced 128 Slice Technology for Precise Diagnostic Imaging

The Aquilion 128 Computed Tomography (CT) Scanner, previously known as Toshiba Aquilion 128, represents a pinnacle of imaging technology, offering exceptional diagnostic capabilities across a broad spectrum of medical disciplines. With its 128-slice configuration, this scanner delivers unparalleled image quality, facilitating accurate diagnoses and superior patient care. Designed for versatility and reliability, the Aquilion 128 CT Scanner excels in hospitals, orthopedic centers, and veterinary facilities, providing high-speed, precise imaging solutions.

Key Features

⦿ Wide Bore Design: Accommodates a wide range of body types.
⦿ Advanced Dose Reduction: Minimizing radiation exposure while maintaining image quality.
⦿ Fast Scan Times: Reduces patient wait times and increases throughput, improving efficiency.
⦿ Versatile Applications: Suitable for various diagnostic needs including oncology, cardiology, orthopedics, and veterinary care.

Specifications

⦿ Slice Count: 128
⦿ Gantry Aperture: 78 cm
⦿ Maximum Scan Speed: Up to 0.275 seconds per rotation
⦿ Spatial Resolution: 0.31 mm
⦿ X-Ray Tube Voltage: 80, 100, 120, 135 kV
⦿ Power Output: 72 kW
⦿ Reconstruction Time: Advanced

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Additional Features

This Aquilion 128 CT Scanner has been reconditioned to the highest MXR Platinum Certified standards. This means that you’ll enjoy the maximum image quality, speed of acquisition, and patient safety. Every Platinum Certified Aquilion 128 carries a full 1-year warranty with support options available from MXR Imaging. 

01 Adaptive Diagnostics
Features AI-driven algorithms to optimize image quality and diagnostic confidence.
02 Seamless Integration
Compatible with existing PACS systems and DICOM standards for easy data management.
03 Comprehensive Support
Includes a full warranty and options for extended service agreements, preventive maintenance, and remote support.
04 Environmental Efficiency
Designed with energy-saving technologies, reducing overall operational costs.