OptimMRI

by RebrAIn  · Based in France → — AI-powered neurosurgical planning for precision targeting.
Neurology Neurosurgery Radiology

Regulatory Status Disclosed

Overview

OptimMRI by Rebrain is a Software as a Medical Device (SaMD) designed to revolutionize neurosurgical target planning. It combines advanced artificial intelligence (AI) algorithms, trained on clinical data, with MRI sequences to provide neurosurgeons with the most optimal targets for surgical interventions. The software specializes in processing brain magnetic resonance (MR) images for 3D visualization and analysis of anatomical structures, interpreting DICOM-compatible pre-operative MR images from various imaging devices.

Its core functionality includes 3D visualization, anatomical analysis, and user interaction, allowing medical professionals to display, review, annotate, and export data for comprehensive analysis and surgical planning. OptimMRI aids in accurately localizing critical brain regions such as the Subthalamic Nuclei (STN) and Ventral Intermediate Nucleus (VIM).

The tool is particularly used for planning Deep Brain Stimulation (DBS) and lesioning techniques, including MR-guided focused ultrasound (MRgFUS) and radiosurgery, for patients suffering from neurological disorders like Parkinson’s Disease and Essential Tremor.

OptimMRI operates as a cloud-based Software as a Service (SaaS) solution, streamlining the pre-surgical planning process by providing AI-guided targeting that simplifies and standardizes neurosurgical procedures.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • 3D Visualization of brain structures
  • Anatomical Analysis for precise localization
  • User Interaction for displaying, reviewing, annotating, and exporting data
  • Neurosurgical functional planning capabilities
  • AI algorithms trained on clinical data
  • DICOM-compatible image processing
  • Semi-automatic recognition of 18 anatomical landmarks per hemisphere
  • Prediction of optimal treatment targets
  • Output of annotated MR images with 3D crosses in DICOM format
  • Supports Deep Brain Stimulation (DBS) and lesioning techniques

Use Cases

  • Pre-operative planning for Deep Brain Stimulation (DBS) procedures
  • Targeting for lesioning techniques like MR-guided focused ultrasound (MRgFUS)
  • Targeting for radiosurgery in neurological disorders
  • Treatment planning for Parkinson's Disease
  • Treatment planning for Essential Tremor
  • Standardization and simplification of neurosurgical procedures

What Physicians Need to Know

Brain MRI/CT Analysis
OptimMRI specializes in processing brain MRI images for 3D visualization and analysis of anatomical structures, aiding in neurosurgical planning. It transforms conventional MR images into detailed 3D models, allowing for the analysis of specific brain regions and precise localization of areas like the Subthalamic Nuclei (STN) and Ventral Intermediate Nucleus (VIM). The software interprets DICOM-compatible pre-operative MR images from various imaging devices. OptimMRI uses AI in combination with MRI to accurately identify optimal brain targets for electrode placement or lesioning in procedures like Deep Brain Stimulation (DBS), radiosurgery, and focused ultrasound.
Neurodegenerative Disease Screening
OptimMRI is used for neurosurgical planning in conditions like Parkinson's disease and essential tremor, aiding in precise targeting for DBS and lesioning treatments. The software helps neurosurgeons identify the optimal treatment zone in each patient's brain by using machine learning of clinical patient data.
Triage Prioritization Speed
OptimMRI is designed to simplify and standardize neurosurgical procedures, potentially allowing more patients to be treated. The software aims to remove variants that could slow down the process and reduce physician stress during neurosurgical planning.
Physician Tip

OptimMRI is particularly useful for neurosurgeons performing functional neurosurgery, such as Deep Brain Stimulation (DBS) and lesioning techniques for conditions like Parkinson's disease and essential tremor. The 3D visualization and precise anatomical localization capabilities can enhance surgical planning and accuracy. The software's ability to integrate AI with MRI data to predict optimal treatment zones can standardize procedures and potentially improve patient outcomes. It can act as a 'GPS system' for the brain, guiding physicians to optimal treatment targets and reducing procedural variability.

OptimMRI processes DICOM-compatible pre-operative MR images from various imaging devices. The output data from OptimMRI is compatible with multiple surgical planning systems, and it supports the export of images and reports in DICOM format. It is a cloud-based platform where users upload MR sequences, and the algorithm marks the treatment zone for download and use as a pre-operative 3D dataset for treatment devices.

Details

Category Neurology AI, Radiology & Imaging AI, Surgical AI
Pricing Unknown
DeploymentCloud-based.
Data ExportUnknown
Compliance
BAA AvailableUnknown
HIPAA CompliantUnknown
FDA Status Cleared AI-estimated
GDPR Yes AI-estimated
Integrations
EHR Not specified
Specialties Neurology, Neurosurgery, Radiology

What the Web Says

OptimMRI is a software application developed by RebrAIn, SAS, designed to assist qualified medical professionals in processing, visualizing, and interpreting anatomical structures from brain magnetic resonance (MR) images, particularly for neurosurgical planning. It utilizes AI and machine learning models to identify optimal targets for deep brain stimulation (DBS) and lesioning techniques for conditions like Parkinson's and essential tremor disease. The software has received FDA clearance, with recent updates expanding its capabilities to include new machine learning models for targeting specific brain regions.

Overall: Positive

Strengths

  • Aids in processing, visualizing, and interpreting anatomical structures from brain MR images.
  • Specializes in neurosurgical planning, providing precise localization of brain structures.
  • Transforms conventional MR images into detailed 3D models.
  • Utilizes artificial intelligence and machine learning for accurate target identification in DBS and lesioning.
  • Demonstrated accuracy in comparative studies with existing software tools, with surface distances within a 2.0mm range.
  • Aims to simplify and standardize neurosurgical procedures, potentially allowing more patients to be treated.

Limitations

No significant limitations found in public reviews. Consider checking vendor documentation or requesting a demo for a thorough evaluation.

Based on reviews from: innolitics.com, medicalnewsobserver.com, parkinsonsnewstoday.com, mpo-mag.com

Last updated: 2026-11-01

Ratings & Reviews

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Press & Coverage

NeuroNews International
Rebrain secures European MDR certification for OptimMRI neurosurgical planning solution
Rebrain announced CE certification under the European Medical Device Regulation (MDR) for its OptimMRI solution, which supports deep brain stimulation (DBS) and lesioning procedures. This follows its US FDA 510(k) clearance in 2024, enabling commercialization across European markets.
2025-05
Business Wire
RebrAIn Secures MDR Certification, Strengthening Strategic Commitment to Personalized Neurosurgical Treatment Plans
RebrAIn announced CE certification under the new European Medical Device Regulation (MDR 2017/745) for its OptimMRI software, which supports Deep Brain Stimulation (DBS) and lesioning procedures. This certification allows for commercialization across European markets.
2025-05
Parkinson's News Today
Rebrain's AI software to optimize brain targeting approved by FDA
The U.S. FDA cleared Rebrain's OptimMRI software, including a new machine learning model to assist in targeting specific brain regions for lesioning techniques like MR-guided focused ultrasound and radiosurgery. The software also features FDA-cleared models for deep brain stimulation (DBS).
2024-09
Medical Product Outsourcing
FDA Clears RebrAIn's OptimMRI Software | Medical Product Outsourcing
RebrAIn received its second U.S. FDA 510(k) clearance for its OptimMRI software, expanding its capabilities to include a new machine learning model for targeting the infero-lateral part of the ventralis intermedius nucleus (VIM) for lesioning techniques.
2024-09
Medical Device Network
RebrAIn gets expanded FDA 510(k) approval for OptimMRI software
RebrAIn, a French precision neuro-surgery platform company, received expanded 510(k) approval from the US FDA for its OptimMRI software, which now includes an advanced machine-learning model for targeting the infero-lateral part of the brain's VIM for lesioning techniques.
2024-09
Business Wire
RebrAIn Receives Second FDA 510(k) Clearance to Optimize Targeting in Stereotactic and Functional Neurosurgery for Both Deep Brain Stimulation and Lesioning Techniques (MRgFUS and Radiosurgery)
RebrAIn announced its second FDA 510(k) clearance for OptimMRI software, which now includes a new machine learning model to assist in targeting the infero-lateral part of the VIM for lesioning techniques.
2024-08
Medical News Observer
OptimMRI: Revolutionizing Neurosurgical Planning with Advanced Imaging Technology
OptimMRI, developed by RebrAIn, SAS, is an advanced medical imaging software specializing in processing brain MR images for 3D visualization and analysis in neurosurgery. It obtained premarket authorization from the FDA on July 21st, 2023.
2023-11
PubMed
Enhancing Asleep Deep Brain Stimulation Targeting for Essential Tremor Using Machine Learning: The OPTIVIM Phase 2 Study
The OPTIVIM study, a prospective, single-arm, multicenter Phase 2 trial, evaluated the efficacy and safety of OptimDBS-guided asleep Deep Brain Stimulation (DBS) for essential tremor. The study found significant improvement in tremor reduction and activities of daily living.
2026-08

Videos

Product demos, reviews, and walkthroughs for OptimMRI.

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Frequently Asked Questions

OptimMRI seamlessly integrates with most PACS and MRI systems, analyzing raw imaging data to suggest optimized protocols or enhance image quality post-acquisition. Physicians can expect benefits such as reduced scan times, improved diagnostic clarity, and enhanced patient throughput.
OptimMRI is designed to comply with stringent healthcare regulations, including FDA clearance (or equivalent international approvals) for its intended use as a medical device. It employs robust encryption, de-identification protocols, and secure data handling practices to ensure full HIPAA and GDPR compliance, protecting patient privacy at every step.
OptimMRI distinguishes itself through its advanced deep learning algorithms, offering superior image reconstruction and artifact reduction compared to many competitors. While manual optimization relies on radiographer expertise, OptimMRI provides consistent, data-driven improvements that can surpass human variability and efficiency.
OptimMRI typically offers a tiered subscription model, with pricing based on factors like annual scan volume, number of integrated MRI machines, and desired feature sets. Custom enterprise solutions are also available, ensuring scalability and cost-effectiveness for practices ranging from small clinics to large hospital networks.
While highly effective, OptimMRI's performance can be influenced by the quality of initial input data and may require an initial calibration period for optimal integration with specific scanner models. Physicians should also be aware that AI tools are assistive and do not replace the critical judgment of a trained radiologist.
OptimMRI's efficacy is supported by multiple peer-reviewed clinical studies demonstrating significant improvements in image quality, reduced scan times, and diagnostic accuracy. These studies often involve multi-center trials and comparisons against current gold standards to validate its performance and safety profile.
OptimMRI utilizes end-to-end encryption for all data in transit and at rest, alongside strict access controls and audit trails to prevent unauthorized access. It processes de-identified data where possible and adheres to industry-best cybersecurity practices to safeguard patient information.

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Suggest an Edit → | Report an issue | Last Verified: 2026-04-20 | First Added: 2026-04-20
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