Contour+ (MVision AI Segmentation)

by MVision AI Oy  · Based in Finland → — Automate Smarter, Treat Faster: AI-Powered Solutions for Radiotherapy
Oncology Radiology
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Regulatory Status Disclosed

Overview

Contour+ (MVision AI Segmentation) is an AI-powered auto-segmentation software designed to revolutionize radiation therapy treatment planning. It delivers fast and precise automatic delineation of organs-at-risk (OARs) and lymph node areas, adhering to international guidelines such as ESTRO, EPTN, RTOG, and the UK SABR Consortium.

The tool significantly reduces manual contouring work by up to 95% and boosts consistency by an average of 20% across different experts and clinics. This efficiency allows radiation oncology professionals to focus more on patient-facing tasks, reduce waiting lists, and provide faster access to treatment.

Contour+ offers comprehensive coverage with over 300 structures, including 159 organs-at-risk and 67 lymph node regions, across major anatomical sites like head and neck, breast, mediastinal, and pelvic areas. It features customizable advanced operations for modifying AI-generated contours, clinical flexibility for creating new ROIs and virtual structures, and seamless integration with existing DICOM-compliant radiotherapy treatment planning systems.

Available in both cloud-based and local deployment options, Contour+ ensures complete data protection and privacy, meeting stringent GDPR and HIPAA regulations through encryption and pseudonymization of scans.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered auto-segmentation of OARs and lymph nodes
  • Guideline-based contouring (ESTRO, EPTN, RTOG, UK SABR Consortium)
  • Reduces manual contouring work by up to 95%
  • Boosts contouring consistency by 20%
  • Comprehensive anatomical coverage (300+ structures, 159 OARs, 67 LN regions)
  • Customizable advanced ROI operations and post-processing tools
  • Clinical flexibility for new ROIs and virtual structures
  • Seamless integration with DICOM-compliant TPS
  • Cloud-based and local (on-premises) deployment options
  • Supports CT and MR images

Use Cases

  • Radiation therapy treatment planning
  • Auto-contouring of organs-at-risk
  • Auto-contouring of lymph node regions
  • Standardizing contouring practices
  • Improving workflow efficiency in radiotherapy departments
  • Supporting clinical trials and cancer research

What Physicians Need to Know

Key Capabilities
AI-powered auto-segmentation for radiation therapy planning, delineating over 300 organs-at-risk (OARs) and lymph node areas across major anatomical sites (e.g., head and neck, breast, pelvis). It supports both CT and MR images, including adult and pediatric scans, and handles contrast/non-contrast images and dental artifacts. Contour+ is part of the Guideline-Based Segmentation (GBSu2122) Suite, which also includes Guide for training and Verify for contour assessment.
Clinical Utility
Significantly improves the accuracy, efficiency, and workflow of radiation therapy planning by reducing contouring time by up to 95% (median 29-79%, max 54-92%) and boosting consistency by 20%. Clinicians report high acceptability, with 78-87% of contours requiring only minor or no edits. It has minimal impact on radiation dose distribution, maintains treatment quality and safety, and facilitates advanced techniques like VMAT.
Integration Options
Available as both cloud-based and local deployments, ensuring flexibility for data protection needs. It is fully compatible with all radiotherapy treatment planning systems (TPS), including direct integration with Eclipse, RayStation, and Monaco via DICOM. MVision AI provides the MVision Daemon for routing, de-identifying, and uploading DICOM files, and the system can also support manual DICOM file transfer.
Compliance Status
CE marked (CE 2797) under EU MDR 2017/745 and FDA 510(k) cleared for clinical use in the United States. It adheres to GDPR and HIPAA regulations for data protection and privacy, with encrypted and pseudonymized image transfer. Contour+ has also received market clearance in the UAE, Australia (MR models), Singapore, and South Korea.
Pricing Model
The pricing model is not publicly disclosed. Interested parties are encouraged to contact MVision AI directly for a demo and specific pricing information.
User Experience
Highly accepted by clinicians, with studies showing 87% of contours rated as 'well done' or 'very well done' and 78-80% requiring no or minor adjustments. It significantly improves workflow efficiency, reduces manual work, and allows clinicians to focus on more complex tasks and patient care. The solution is equally helpful for both junior and senior oncologists.
Support Quality
MVision AI offers support for integration into existing DICOM networks and assists with advanced structure operations. The company continuously upgrades its product in collaboration with research partners to meet evolving clinical needs. Direct support is available via email.
Implementation Complexity
Designed for seamless integration into existing clinical workflows. Cloud deployment simplifies IT operations with easy, fast updates without complex local hardware. A local solution is also available. Integration into the customer's DICOM network is guided by MVision AI, often utilizing additional software like MVision Daemon for data handling. Its modular architecture allows for progressive adoption.
Evidence Base
Supported by a robust evidence base, including numerous independent, non-sponsored studies published in peer-reviewed journals (2020-2024). These studies involved 17 clinics across 12 countries, with 64 evaluators assessing over 16,000 volumes of interest on more than 1,200 scans. Research confirms high accuracy (median DSC 0.87-0.88), clinical acceptability, significant time savings, and minimal dosimetric impact.
Physician Tip

Contour+ can dramatically reduce contouring time, allowing for increased focus on complex cases, adaptive planning, and patient interaction. Leverage the Guideline-Based Segmentation (GBSu2122) Suite's 'Guide' and 'Verify' modules to standardize contouring practices across your department and for continuous staff training and quality assurance. While the AI provides highly accurate initial contours, always perform a thorough review and make any necessary minor edits to ensure alignment with individual patient anatomy and treatment goals. The minimal dosimetric impact observed in studies suggests confidence in maintaining treatment quality and safety.

Contour+ is designed for seamless integration into existing radiotherapy workflows, functioning as a DICOM service. It offers both cloud and on-premises deployment options and is compatible with major TPS like Eclipse, RayStation, and Monaco. Clinics should plan for integration into their DICOM network, potentially utilizing MVision AI's Daemon for secure and de-identified data transfer. The modular nature of the broader Workspace+ platform allows for phased adoption, minimizing disruption to current operations.

Details

Category Oncology AI, Radiology & Imaging AI
Pricing Contact for pricing
DeploymentCloud-based, On-premises (local)
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

Contour+ received FDA 510(k) clearance (K212915) on May 31, 2022, for guideline-based, AI-powered automatic segmentation for radiotherapy. An updated FDA 510(k) clearance (K241490) was granted on October 18, 2024, for advanced CT and MR models, supporting a total of 159 organs-at-risk and 67 lymph node regions in the U.S. market.
Integrations
EHR Not specified
Specialties Oncology, Radiology

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Press & Coverage

MVision AI
Press Release: MVision AI launches Contour+ auto-contouring to facilitate standardization and shorten time to treatment for cancer radiotherapy
MVision AI launched Contour+ (version 1.2.4), an AI-powered auto-contouring software designed to standardize and automate radiotherapy treatment planning, significantly reducing contouring time for cancer patients.
2023-08
MPO Magazine
MVision AI Wins South Korean Approval for Guideline-Based AI Segmentation Tech
South Korean regulators have approved MVision AI's Contour+ image analysis algorithms for radiation therapy treatment planning, allowing its introduction to the country to accelerate contouring and enhance standardization.
2024-08
MVision AI
MVision AI Secures FDA 510(k) Clearance for Contour+ Advanced CT and MR Models
MVision AI announced FDA 510(k) clearance for new and updated Contour+ models, expanding its auto-contouring capabilities for 159 organs-at-risk and 67 lymph node regions in the U.S. market.
2024-10
MVision AI
MVision AI Achieves MDR CE Certification for Contour+
MVision AI's Contour+ has successfully transitioned to the new EU Medical Device Regulation (MDR) from the MDD, ensuring compliance with higher standards of safety, performance, and quality in the European market.
2024-12
MVision AI
MVision AI Working on Agreement to Offer Contour+ Accessu2122 with Philips CT Simulators
MVision AI is collaborating with Philips to integrate its Contour+ Accessu2122 AI-powered auto-contouring software directly into Philips CT simulators, aiming to streamline radiotherapy planning workflows.
2025-09
MVision AI
MVision AI's Contour+ Receives Market Clearance in the United Arab Emirates
MVision AI's Contour+ auto-contouring software has received market clearance from the UAE Ministry of Health and Prevention, allowing its use in clinical radiation therapy workflows across the country.
2025-04
MVision AI
MVision AI Contour+ (Guideline-Based AI Segmentation): highlights from an independent validation study using a comprehensive and curated data set
An independent validation study highlighted that MVision AI Contour+ significantly reduced contouring time and decreased interobserver variability, with 87% of radiation oncologists rating it highly.
2023-10
MVision AI
MVision AI is proud to announce the launch of the world's first comprehensive Guideline-Based Segmentation (GBSu2122) solution for responsible radiation therapy contouring
MVision AI launched its Guideline-Based Segmentation (GBSu2122) solution, which includes Contour+, Guide, and Verify, to provide a comprehensive approach to responsible and accurate radiation therapy contouring.
2023-09

Videos

Product demos, reviews, and walkthroughs for Contour+ (MVision AI Segmentation).

View all on YouTube

Frequently Asked Questions

Contour+ is an AI-powered auto-segmentation software designed to seamlessly integrate with existing radiotherapy treatment planning systems, supporting both cloud-based and local deployments. It automates the delineation of organs-at-risk and lymph node areas on CT and MR images, significantly reducing manual contouring time by up to 95% and boosting consistency by 20% across different users and clinics.
Contour+ is compliant with GDPR and HIPAA standards, ensuring high levels of data protection and patient privacy. Patient images are pseudo-anonymized and transferred to the MVision AI cloud via an encrypted connection for processing, with received data deleted from the cloud server within 24 hours.
While Contour+ significantly reduces manual effort and improves consistency, it is not intended to detect lesions or tumors, nor is it designed for real-time adaptive planning workflows. Physicians must still visualize, review, modify, and approve the AI-generated contours, especially for Gross Target Volumes and Clinical Target Volumes where personalized clinical factors are crucial.
Several AI contouring solutions exist, including those from Synaptiq, Limbus AI, TheraPanacea, and Siemens Healthineers. Contour+ differentiates itself as a cornerstone of MVision AI's Guideline-Based Segmentation (GBSu2122) solution, which also includes 'Guide' for training and 'Verify' for contour assessment, emphasizing guideline compliance, educational support, and comprehensive coverage of over 300 structures.
Specific pricing details for Contour+ are not publicly disclosed, as is common for specialized healthcare AI software. Generally, such solutions are offered through a subscription model, with costs influenced by factors like the number of anatomical sites covered, volume of usage, deployment method (cloud or on-premises), and integration requirements with existing treatment planning systems.
Independent studies have shown that Contour+ produces consistent, high-quality contours for various anatomical structures, with median Dice Similarity Coefficients (DSC) often around 0.87-0.88. Clinicians have reported high acceptance, with most AI-generated contours requiring only minor edits or no adjustments in a significant percentage of cases, demonstrating its clinical usability and reliability.
Contour+ significantly enhances clinical efficiency by reducing contouring time, allowing clinicians to focus on patient-facing tasks and complex cases that previously caused delays. It also supports staff training by providing a guideline-based foundation for contouring, fostering consistency across different experts and clinics, and offering tools like 'Guide' for educational purposes.

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Suggest an Edit → | Last Verified: 2026-04-18 | First Added: 2026-04-18
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