Find the artificial intelligence based software for radiotherapy that you are looking for. All products listed are available for the European market (CE marked).
Find the artificial intelligence based software for radiotherapy that you are looking for. All products listed are available for the European market (CE marked).
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Plan Generation/Optimisation
Dose+ is an AI-powered solution designed to support plan optimisation for prostate and pelvic lymph node radiotherapy.
Autosegmentation of OAR
Contour+ is an AI-based auto-segmentation software for radiotherapy that generates delineations of organs at risk and lymph node regions. The software provides automatically generated structures intended to support the contouring workflow, which can be reviewed and edited by clinicians.
Autosegmentation of OAR, MR-only workflow, Synthetic CT Generation
MRI Planner is a software application developed to generate synthetic CT images and organ-at-risk (OAR) delineations from standard MRI data.
Autosegmentation, MR-only workflow, Synthetic CT Generation
As a plug-in clinical application to Ingenia MR-RT, MRCAT Prostate + AutoContouring provides density information for dose calculations and accurate MRbased contours in as little as 20 minutes – all in a repeatable ‘one-click’ workflow. Because MRCAT Prostate + Auto-Contouring requires input from MR images only, it reduces the organization and coordination of scans, eliminates the effort involved in MR-CT registration, and saves the patient from undergoing multiple procedures.
MR-only workflow, Synthetic CT Generation
MRCAT Head and Neck enables the use of MRI as a primary imaging modality for radiotherapy planning of patients with soft tissue tumors in the Head and Neck, without the need for CT. Powered by AI, MRCAT (MR for Calculating ATtenuation) images with CT-like density information are automatically generated from a single, high-resolution MR scan and can be used for CT-equivalent dose calculations and accurate patient positioning.
MR-only workflow, Synthetic CT Generation
MRCAT Brain clinical application allows the use of MRI as the primary imaging modality for radiotherapy planning of primary and metastatic tumors in the brain without the need for CT. Detailed anatomical information for contouring and attenuation maps for dose calculations are both obtained from a single, submillimeter resolution 3D T1W mDIXON MR sequence. Artificial Intelligence (AI) is used for fast computation of continuous Hounsfield units directly on the MR console.
MR-only workflow, Synthetic CT Generation
MRCAT Pelvis supports MRI-only radiation therapy planning. A single MR examination provides soft-tissue contrast for target and organ-at-risk (OAR) delineation and continuous Hounsfield units for dose calculations. MRCAT (MR for Calculating ATtenuation) data can be exported to treatment planning systems for CT-equivalent dose calculations. The MR-based images also support CBCT-based patient positioning using soft-tissue contrast and a CT-like image appearance.
Plan Generation/Optimisation
Powered by Oncospace, Plan AI is an AI-based solution designed to support radiation therapy treatment planning efficiency and plan quality, by automatically generating a dose distribution.
Adaptive Radiotherapy
As part of ART-Plan. ART-Plan is an AI-based software platform developed by TheraPanacea to support radiotherapy treatment planning workflows. The platform provides authorized users with a set of software modules designed to assist in the preparation, assessment, and management of radiotherapy treatment planning activities using medical imaging data. ART-Plan operates through a user account system that provides access to functions based on predefined user rights and permissions. The system supports both Cloud and On-premise deployments. The software includes tools for image and plan import, organization, analysis, and processing of medical imaging data used during the radiotherapy planning process. Depending on the modules installed and licensed, ART-Plan supports activities such as contouring organs at risk or tumors, automated protocol-based treatment plan generation based on predicted class solution, and adaptive treatment assessment based on AI-generated synthetic-CT. The tasks are automated, can be performed simultaneously on multiple patients, and the results are exported to the Treatment Planning System for further review, editing and approval.