The Vantage Fortian/Orian 1.5T, MRT-1550, V9.0 is a 1.5 Tesla magnetic resonance imaging (MRI) system developed by Canon Medical Systems. It incorporates AI-based technologies in its reconstruction processing unit (AiCE) to improve image quality, reduce scan time, and assist operators. This system aids clinicians by producing high-resolution images of anatomical structures of the head and body, facilitating accurate diagnosis and efficient workflow.
The uMR 680 is a 1.5T superconducting magnetic resonance imaging device that produces detailed anatomical and functional images to assist physicians in diagnosis. It includes components such as magnets, RF coils, and software for imaging the head, body, and extremities, helping clinicians with diagnostic imaging using MRI technology.
The uMR Omega is a 3.0 Tesla superconducting MRI system designed for producing high-quality cross-sectional images and spectroscopic images of the head, body, and extremities. It helps clinicians diagnose by providing detailed anatomical and functional images that can be interpreted by trained physicians. This device is designed to meet industry imaging standards and includes advanced components such as RF coils and gradient amplifiers to ensure high image quality.
MAGNETOM Terra and MAGNETOM Terra.X are advanced 7 Tesla MRI systems by Siemens designed for capturing high-quality magnetic resonance images primarily of the head and extremities. Equipped with enhanced hardware and AI-based software (Deep Resolve Boost, Sharp, and RxE), these devices improve image quality and reconstruction speed, helping radiologists obtain clearer diagnostic images faster, thus supporting better patient diagnosis and care.
BoneMRI is an AI-powered software that enhances MRI images to better visualize bone structures in the pelvic and spine regions. It improves the contrast of bone relative to soft tissue to assist radiologists and orthopedic surgeons in assessing bone morphology and tissue radiodensity without replacing CT imaging. It supports clinical use in patients aged 12 and older and operates via hospital networks, ensuring data security.
MAGNETOM Cima.X Fit is a magnetic resonance imaging (MRI) system by Siemens that produces detailed cross-sectional images of the body, head, or extremities. It incorporates AI-driven software features to enhance image quality and accelerate scanning, helping clinicians diagnose by providing clearer and faster MRI scans.
The SIGNA Champion is a 1.5 Tesla whole body magnetic resonance imaging (MRI) scanner designed to produce high-resolution diagnostic images quickly. It can image multiple body regions including the head, neck, spine, chest, abdomen, pelvis, joints, and more, using various scan planes and sequences to help physicians diagnose medical conditions. It supports advanced imaging techniques and uses standard MRI technology enhanced by new software and hardware components to improve image quality and workflow.
TumorSight Viz is software developed by SimBioSys, Inc. that helps doctors visualize and analyze breast MRI images from patients with early-stage or locally advanced breast cancer. It supports dynamic MRI data evaluation by processing images to provide measurements, 3D renderings, and visualizations, which aid clinicians in planning treatment and assessing tumor characteristics. The system is cloud-based and used as a tool to support but not replace clinical decision-making.
MAGNETOM Sola and MAGNETOM Altea are advanced MRI systems designed to produce high-quality transverse, sagittal, coronal, and oblique cross-sectional images. They include AI-powered features such as Deep Resolve Boost and Deep Resolve Sharp for enhanced image reconstruction, improving image quality and diagnostic accuracy. These systems assist clinicians in diagnosis by providing improved visualization of internal structures and functions across the head, body, and extremities, and can also be used during MR-guided interventional procedures.
MAGNETOM Cima.X is an advanced magnetic resonance imaging (MRI) system designed to produce detailed images and spectroscopic data of the head, body, and extremities. It incorporates new and modified hardware and software features including deep learning-based reconstruction methods to enhance image quality and speed, helping clinicians in diagnosis and interventional imaging procedures.
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