by
Gus Iversen, Editor in Chief | May 12, 2026
Philips introduced a new 3.0T MR platform designed to expand imaging beyond traditional anatomical and functional studies into quantitative biomarker assessment across the body.
The Amsterdam-based company announced the Titanion MR system during the International Society for Magnetic Resonance in Medicine (ISMRM) annual meeting. The platform combines ultrahigh-gradient hardware with AI-enabled imaging software intended to support research and clinical applications involving tissue microstructure and biologically based imaging markers.
According to Philips, the system delivers gradient performance of 150 mT/m at a slew rate of 250 T/m/s. The company said the technology is intended to support advanced diffusion and microstructural imaging, particularly in areas such as neurology and oncology.
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“Titanion MR represents a significant step forward for 3.0T MR at Philips, expanding our ability to quantify imaging biomarkers across the body, especially in the brain, and bring advanced imaging capabilities into routine clinical practice,” said Ioannis Panagiotelis, business leader magnetic resonance at Philips.
Philips said the scanner includes a low eddy current design intended to reduce image distortion and improve signal fidelity for quantitative imaging applications. The system also features a 55 cm field of view designed to support whole-body imaging in a single exam.
The company paired the hardware launch with updates to its SmartSpeed Precise software, which Philips said can provide sharper images and reduce scan times through AI-assisted reconstruction and workflow tools. Philips cited internal testing showing image sharpness improvements of up to 80% and scan times up to three times faster.
Philips also emphasized lower infrastructure requirements compared with some high-performance MR systems. Titanion is designed to operate with power requirements of 115 kVA, which the company said may allow installation in facilities without major electrical upgrades.
The company said availability and system configurations will vary depending on existing MR environments and customer infrastructure.
