FDA Radiology AI Devices

syngo.via RT Image Suite is a software tool designed to assist clinicians in viewing, manipulating, and contouring 3D and 4D medical images from various modalities such as CT, PET, MRI, and CBCT. It helps prepare radiation therapy treatment plans by enabling visualization, semi-automatic and automatic contouring of tumors and organs, image registration, and image fusion. The software improves workflow efficiency and treatment accuracy in radiation oncology.

The syngo.via RT Image Suite by Siemens is advanced software that helps clinicians visualize and manipulate 3D and 4D medical images from multiple modalities like CT, MRI, PET, and CBCT. It supports contouring tumors and organs at risk, image registration, and creating simple treatment plans, aiding radiation therapy preparation. The software includes AI-based deep learning for lung lobe segmentation to calculate lung ventilation, improving the accuracy and efficiency of radiation therapy planning.

The syngo.via RT Image Suite by Siemens is a software tool that helps clinicians visualize, manipulate, and contour medical images in 3D and 4D across multiple imaging modalities. It supports the preparation of radiation therapy treatments by allowing the viewing and editing of contours for tumors and organs-at-risk, managing points of interest, and generating synthetic CT images using AI algorithms. This tool improves the accuracy and efficiency of treatment planning for patients undergoing radiation therapy.

Syngo.via RT Image Suite is a medical imaging software tool that helps clinicians visualize and manipulate 3D and 4D images from multiple modalities like CT, PET, and MRI in preparation for radiation therapy treatments. It provides advanced contouring tools including AI-based automatic organ segmentation, multi-modality image fusion, and supports creating treatment plans to improve accuracy and efficiency in radiation therapy workflows.

Syngo.Via RT Image Suite is a software tool designed to help clinicians visualize, manipulate, and contour medical images from various imaging modalities such as CT, MRI, and PET. It supports 3D and 4D image visualization and assists with the segmentation of tumors and organs-at-risk to aid in radiation therapy planning and response assessment. The software incorporates AI techniques, including deep learning-based contouring, to improve the accuracy and efficiency of treatment preparation, thereby enhancing patient care in radiation therapy.