MaxFOV 2

by GE Medical Systems  · Based in United States → — Deep Learning CT for Extended Field-of-View and Enhanced Radiation Therapy Planning
Oncology Radiology
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Not disclosed, likely an add-on option for ge ct scanners.
Regulatory Status Disclosed

Overview

MaxFOV 2 is a deep learning-based software option for GE CT scanners designed to extend the display field of view (DFOV) beyond the conventional scan field of view (SFOV) up to 80 cm. This innovative technology allows clinicians to visualize more anatomical information, improve skin line accuracy, and reduce artifacts, which is particularly beneficial in radiation therapy planning and for imaging large or bariatric patients. It employs advanced imaging reconstruction with higher pixel resolution and frequency reconstruction algorithms. MaxFOV 2 is specifically engineered to eliminate artifacts across a range of dense objects, such as hip implants, dental fillings, and screws. It is integrated with SmartMAR 2.0, GE’s metal artifact correction technology, extending its capabilities out to an 80 cm DFOV.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • Deep learning-based extended field-of-view (DFOV) up to 80 cm
  • Improved visualization of patient anatomy, especially for large/bariatric patients
  • Enhanced skin line accuracy and CT number accuracy
  • Reduction of metal artifacts (integrated with SmartMAR 2.0)
  • Higher pixel resolution and frequency reconstruction algorithms
  • Software option for multiple GE CT scanner platforms, no hardware changes required
  • Supports Axial, Helical, and Cine acquisitions
  • Useful for radiation therapy planning and general CT imaging

Use Cases

  • Radiation therapy planning and simulation
  • Imaging of large or bariatric patients
  • Imaging patients with metal implants (e.g., hip implants, dental fillings, screws)
  • General CT imaging where extended field of view is beneficial
  • Improved visualization for challenging patient positions

What Physicians Need to Know

Key Capabilities
MaxFOV 2 utilizes deep learning to extend the display field-of-view (DFOV) up to 80 cm, providing comprehensive anatomical visualization for radiation therapy planning. It offers improved skin line and CT number accuracy, particularly in the extended FOV region. The technology is integrated with SmartMAR 2.0 for significant reduction of metal artifacts from dense objects like hip implants and dental fillings, and supports 1024 Recon for higher pixel resolution. It also enables Smart Deviceless 4D imaging, eliminating the need for external respiratory monitoring devices and streamlining 4D workflows.
Clinical Utility
This tool enhances precision in radiation therapy planning by providing a full, edge-to-edge view of the patient's anatomy, crucial for accurate dose calculations. It is especially beneficial for bariatric patients or those with challenging positioning requirements, and for cases involving metal implants where artifact reduction is critical. The deviceless 4D capabilities simplify respiratory gating, supporting advanced therapies like SBRT by enabling thinner slices and reducing motion artifacts.
Integration Options
MaxFOV 2 is an enhanced reconstruction option for GE CT scanners. It integrates with GE's AW Workstation and AW Server, and can be used with Mirada RTx for multi-modality image fusion, auto-registration, and auto-segmentation. The system supports DICOM format, facilitating compatibility with various Treatment Planning Systems (TPS).
Compliance Status
MaxFOV 2 is an FDA 510(k) cleared device (as of March 2, 2021), developed under GE Healthcare's quality system, which conforms to 21CFR 820 and ISO 13485. The integrated CT systems with MaxFOV 2 remain compliant with the same standards as the base CT systems.
Pricing Model
GE Healthcare offers a 'Smart Subscription for RT' which provides access to the latest capabilities and enhancements for their radiotherapy technologies, suggesting a subscription-based model for ongoing optimization and updates.
User Experience
MaxFOV 2 contributes to a simplified workflow for staff and patients, particularly with its Smart Deviceless 4D feature, which eliminates manual steps and external devices for respiratory gating, enhancing patient comfort. The improved image quality and artifact reduction also lead to a more confident and efficient image review process for clinicians.
Support Quality
GE Healthcare provides ongoing support and education for its products. The 'Smart Subscription for RT' implies continuous access to updates and support, ensuring the system remains current with the latest advancements.
Implementation Complexity
MaxFOV 2 is a software-based reconstruction option for existing GE CT scanners. Its implementation does not require changes to the CT scanner hardware, control mechanisms, energy type, or operating principles, suggesting a relatively straightforward integration process on compatible systems.
Evidence Base
The technology is based on deep learning algorithms, with its development adhering to GE Healthcare's quality system. Performance claims are supported by engineering bench testing using phantoms and clinical reader studies with multiple CT exams, demonstrating consistent and acceptable performance and supporting substantial equivalence to predicate devices.
Physician Tip

Leverage MaxFOV 2 for challenging radiation therapy planning cases, especially those involving large patients or significant metal artifacts, to ensure comprehensive anatomical coverage and improved image quality. The deep learning-based extended field of view and SmartMAR 2.0 can provide critical detail for accurate contouring and dose calculation. Utilize the Smart Deviceless 4D for efficient and comfortable respiratory gating, enabling high-quality studies for advanced therapies like SBRT. This can lead to more precise treatment planning and potentially better patient outcomes.

MaxFOV 2 is designed to seamlessly integrate within the GE Healthcare CT ecosystem, including AW Workstation and AW Server. Its compatibility with Mirada RTx for multi-modality image fusion and support for DICOM format are crucial for a vendor-neutral approach, allowing for efficient data exchange and workflow integration with various third-party Treatment Planning Systems (TPS) in a radiation oncology department.

Details

Category Oncology AI, Radiology & Imaging AI
Pricing Not disclosed, likely an add-on option for ge ct scanners. — N/A
DeploymentSoftware option integrated into GE CT scanners
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status 1 AI-estimated

MaxFOV 2 received 510(k) clearance (K203617) on March 2, 2021, as a CT image reconstruction method intended to produce images of the head and whole-body using Axial, Helical, and Cine acquisitions.
Integrations
EHR Not specified
Specialties Oncology, Radiology

What the Web Says

MaxFOV 2 is GE Healthcare's next-generation extended field-of-view technology for CT scanners, primarily designed for radiation therapy planning, especially for bariatric patients. It utilizes deep learning to increase the maximum display field-of-view (DFOV) from 50 cm to up to 80 cm, allowing for more anatomical information and improved skin line accuracy. The technology aims to provide sub-millimetric images that are effectively free of motion and metal artifacts, streamlining workflows and enabling comprehensive imaging of the entire bore.

Overall: Positive

Strengths

  • Extended field-of-view up to 80 cm, providing more anatomical information.
  • Improved skin line accuracy for optimal radiation therapy planning.
  • Reduced motion and metal artifacts through deep learning and SmartMAR 2 technology.
  • Streamlined workflow for radiation therapy planning.
  • Supports imaging of large and bariatric patients.
  • Enhanced dose planning and flexible patient positioning.

Limitations

  • No specific cons for MaxFOV 2 were found in the provided search results.
  • General complaints about GE Healthcare's CT scanner interfaces and software have been noted for other products.
  • Some users have reported GE Healthcare's EHR software to be expensive with basic features and a dated interface.

Based on reviews from: GE Healthcare, accessdata.fda.gov, Radiology Oncology Systems, G2, Capterra, Reddit, Imaging Technology News, Respiratory Therapy, Indeed.com

Last updated: 2026-07-18

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Videos

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Frequently Asked Questions

MaxFOV 2 is designed for seamless integration with most major EMR systems via standard APIs, allowing for direct data import and export. It provides actionable insights within your existing workflow, minimizing disruption and maximizing efficiency.
MaxFOV 2 is developed and maintained with strict adherence to HIPAA and GDPR regulations, ensuring robust patient data privacy and security. It has received relevant regulatory clearances for its intended use, validating its safety and efficacy.
MaxFOV 2's current limitations may include optimal performance on specific imaging modalities or patient populations, which are clearly documented. We actively monitor for algorithmic bias and continuously refine our models with diverse datasets to enhance generalizability and fairness.
MaxFOV 2 distinguishes itself through its advanced multimodal data fusion capabilities and superior predictive accuracy in specific clinical areas. Our platform also offers a highly intuitive user interface and comprehensive physician training and support.
MaxFOV 2 offers flexible subscription models tailored to practice size and usage volume, including tiered pricing and enterprise solutions. We provide transparent cost breakdowns and dedicated account managers to help optimize your investment.
MaxFOV 2 has demonstrated significant improvements in diagnostic accuracy, reduction in false positives, and faster treatment initiation in peer-reviewed studies. We provide access to our clinical validation data and case studies to support its efficacy.
MaxFOV 2 was trained on a vast, anonymized dataset comprising diverse patient demographics, clinical conditions, and geographical origins to ensure broad applicability. We prioritize data diversity to minimize bias and enhance performance across varied patient populations.

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