MaxFOV 2 is a software option for GE CT scanners that uses deep learning to extend the display field of view in CT images beyond the scanner's nominal field, providing improved visualization of patient anatomy, especially useful in radiation therapy planning and for large patients. This helps clinicians obtain more complete images for diagnosis and treatment planning when parts of the body are outside standard scan coverage.
The Vantage Orian 1.5T, MRT-1550, V6.0 with AiCE Reconstruction Processing Unit is a 1.5 Tesla MRI system from Canon Medical Systems designed to produce detailed cross-sectional images of the head or body for diagnostic use. It includes AI-based image reconstruction technology (AiCE) that enhances image quality and processing for a variety of anatomical regions, helping clinicians make more accurate diagnoses.
The Aquilion Lightning (TSX-036A/7) V10.2 with AiCE-i is a computed tomography (CT) scanner designed for whole body imaging, including the head. It incorporates an AI-driven image reconstruction algorithm called AiCE-i that reduces image noise and improves image quality by using deep convolutional neural networks. This enhancement supports clinicians by providing clearer, more detailed images with potentially lower radiation dose, facilitating better diagnosis and patient care.
HeartFlow Analysis is a medical software that uses previously acquired coronary CT images to create 3D models and simulate blood flow dynamics in coronary arteries. It helps clinicians assess coronary artery disease by providing detailed functional information derived mathematically from CT scans, supporting diagnosis and treatment planning in stable symptomatic patients.
Deep Learning Image Reconstruction for Gemstone Spectral Imaging by GE Medical Systems is an AI-powered CT image reconstruction method designed to produce high-quality cross-sectional CT images from dual-energy X-ray data. It is intended for whole body, vascular, and contrast-enhanced head CT applications, enhancing image quality with a deep neural network-based algorithm that improves low contrast detectability, noise reduction, and artifact suppression, supporting accurate and reliable diagnosis.
The Aquilion Exceed LB (TSX-202A/3) V10.6 with AiCE-i is a whole-body multi-slice helical CT scanner that acquires and displays cross-sectional volume images, including the head. It incorporates AiCE, an AI-based noise reduction algorithm using deep convolutional neural networks, to improve image quality and reduce noise in scans of the abdomen, pelvis, lung, extremities, head, and inner ear. This technology helps clinicians obtain clearer images at potentially lower radiation doses, facilitating better diagnostic accuracy.
HealthJOINT is a software product that assists clinicians by using artificial intelligence to create 3D models of knee bones from standard 2D X-ray images. This helps surgeons with preoperative planning for knee surgeries by providing detailed anatomical landmarks and accurate bone reconstructions, improving clinical assessment and surgical preparation.
The SIGNA 7.0T is a high-performance whole-body MRI scanner designed by GE Healthcare to produce high-resolution images of the head and extremities. It supports multiple imaging techniques and pulse sequences to generate detailed anatomical, functional, spectroscopic, and vascular images. The device helps clinicians in diagnosis by delivering high signal-to-noise ratio images with shorter scan times, particularly enabled by its advanced 7.0 Tesla magnetic field strength and optimized hardware.
SIGNA Artist is a magnetic resonance imaging (MRI) scanner designed to produce high-resolution diagnostic images of the whole body. It supports multiple imaging planes and can generate a variety of images including axial, sagittal, coronal, spectroscopic, parametric maps, and dynamic images. The AIR Recon DL software feature enhances image quality by improving signal-to-noise ratio and sharpness, assisting clinicians in diagnosis through clearer MRI images.
The Vantage Orian 1.5T with AiCE Reconstruction Processing Unit for MR is a 1.5 Tesla MRI system from Canon that enhances image quality by using AI-powered noise reduction techniques. This advanced software algorithm uses deep learning to reduce thermal noise and improve signal clarity, especially in brain and knee imaging, helping clinicians obtain clearer and more diagnostically useful MRI images.
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