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GE HealthCare unveils ultra-premium, high-performance gradient 1.5T MRI system
SIGNA™ Sprint, a new wide bore 1.5T MRI scanner, is designed to provide power previously unattainable at 1.5T, for clarity in cardiology and oncology imaging
About this update from Ge Healthcare Technologies Inc.
[{"type":"text","content":"\n\nSIGNA™ Sprint, a new wide bore 1.5T MRI scanner, is designed to provide power previously unattainable at 1.5T, for clarity in cardiology and oncology imaging\n\n\nAdvanced high-performance gradient technology leverages built-in AI solutions designed to enable clear, fast imaging for improved workflow\n\n\n HONOLULU--(BUSINESS WIRE)--\nGE HealthCare (Nasdaq: GEHC) today unveiled SIGNA™ Sprint, an FDA 510(k) pending1 ultra-premium wide bore 1.5T high-performance gradient MRI system, at the International Society for Magnetic Resonance in Medicine (ISMRM) 2025. This innovative technology is designed to unlock advanced imaging possibilities in cardiology, oncology and other clinical and research areas.\n\nThe need for advanced diagnostics in cardiology and oncology continues to grow, with cardiovascular disease accounting for 32% of global deaths,2 and cancer accounting for nearly 10 million deaths per year.3 Meeting this demand with advanced MRI technologies has the potential to make significant impact for cardiology and oncology patients.\n\nWith the goal of delivering higher gradient benefits previously attainable on only 3.0T systems, SIGNA Sprint is designed to offer high-performance scanning made simple at 1.5T, with exceptional diffusion imaging, a critical tool in oncology diagnosis and treatment planning. SIGNA Sprint is also designed to equip clinicians and researchers with the ability to expand the current 1.5T boundaries, aiming to enable fast clinical translation and pioneering research.\n\nSIGNA Sprint, with a high-gradient performance of 65/200 per axis for fast imaging and exceptional image quality, is designed to deliver crystal-clear visualization of sub-millimetric structures and deep learning solutions to support diagnostics and treatment response monitoring in oncology patients. This new system supports clinicians’ shift to quantitative MRI and a deeper understanding of tissue characteristics, going beyond basic assessment of anatomy. The adoption of deep-learning reconstruction techniques for accelerated cardiac MRI aims to reduce the time and expertise needed to interpret scans and drive consistency and reliability.\n\n“We are driven to push the boundaries of what’s possible in MRI with our ultra-premium segment, as our goal is to set a new standard in diagnostic research and precision care that allows for ...