MR Cardiac Quantitative Mapping

Experience breakthrough innovation in 3.0T imaging with the unique design of the Philips MR 7700 imaging system, enhanced with XP gradients and artificial intelligence (AI). The system is built to address a pressing need to deliver on the clinical expectations of today, and to facilitate the most demanding research programs. The MR 7700 provides high accuracy, power, and endurance to support confident diagnosis for every patient. It is the system of choice for highest quality diffusion imaging and advanced neuroscience. Extend your scanning capabilities with a fully integrated multi-nuclei imaging and spectroscopy solution to explore new clinical pathways without sacrificing clinical imaging workflow or wide-bore patient comfort. What’s more? The MR 7700 promises a great experience for both users and patients through the ease-of-use features of a well-designed clinical 3.0T scanner together with a no compromise workflow. Now scientists and clinicians alike can schedule without conflict.

The Philips Ingenia Elition solution offers cutting-edge MR imaging techniques, while setting new standards for clinical research in 3.0T imaging based on gradient- and RF designs. The Ingenia Elition delivers on superb image quality, and performs MRI exams up to 50% faster¹. Fast overall exam-time is achieved by improving patient handling setup time at the bore with the touchless guided patient setup, combined with accelerations in both 2D- and 3D scanning. Furthermore, the Ingenia Elition offers an immersive audio-visual experience to calm patients and guide them through MR exams.

This innovative 1.5T MRI system is powered by Philips exclusive BlueSeal magnet for helium-free operations. And it incorporates a wealth of AI²-driven technologies to simplify and automate the most complex clinical and operational tasks. So you can focus on what matters the most: your patients. This breakthrough solution is designed to help boost MR productivity, speed up exams, empower clinicians to make informed clinical decisions, and control the costs of MR imaging.