Refurbished GE Healthcare Explorer 1.5 MRI

The GE HealthCare SIGNA Explorer is a modern 1.5T magnetic resonance imaging (MRI) scanner designed to deliver exceptional image quality alongside increased patient comfort. It addresses both clinical and operational needs by offering a space-saving footprint and Ecomagination-certified, energy-saving technology. The system sets a new standard for patient care through reduced acoustic noise, a lowered table height, and advanced free-breathing applications. Incorporating acceleration techniques like HyperSense and HyperCube, it provides remarkable speed and clarity. Furthermore, the scanner is compatible with the SIGNA Lift program, allowing facilities to cost-effectively upgrade their legacy GE MR systems. Ultimately, it ensures high throughput, operational efficiency, and investment security for modern healthcare environments.

Specifications

• The scanner operates with a 1.5 Tesla (1.5T) modern design magnet that ensures uniform, high-quality images.
• It features an efficient 60-centimeter bore size that accommodates various patient types while maintaining clinical productivity.
• The system is equipped with AIR Recon DL technology to enable faster scan times with significantly improved image resolution.
• It utilizes HyperSense and HyperCube acceleration techniques to deliver rapid and exceptionally clear imaging.
• The scanner incorporates energy-saving, Ecomagination-certified technology to help lower the facility's operational costs.
• Its space-saving footprint allows it to be installed easily in facilities with limited room availability.
• The system features advanced noise-reduction technology to create a quieter, more comfortable experience for the patient.
• A low table height design is integrated to facilitate easier patient access and positioning before the scan.
• It supports advanced free-breathing applications to accommodate patients who struggle with traditional breath-hold exams.
• The system features in-line processing capabilities that automate advanced post-processing tasks to streamline clinical workflows.