ClearPoint Maestro Brain Model
Overview
The ClearPoint Maestro® Brain Model is an anatomical segmentation analysis tool developed in partnership with Philips. This AI-powered software automates the process of identifying, labeling, and quantifying the volume and shape of brain structures visible in MRI images. Its unique methodology combines deformable surfaces with active shape models and machine learning, resulting in accurate and highly reproducible segmentation. The Maestro Brain Model provides consistent, point-based correspondence for target identification, which is ideal for MRI-guided neuro interventions. Originally cleared as a standalone diagnostic platform, it has since been integrated into the ClearPoint Neuro Navigation System software (version 2.2 and later) to enhance surgical planning and execution.
Reviewed by Pouyan Golshani, MD — Interventional Radiologist
Key Features
- Automated anatomical segmentation analysis of brain structures from MRI images
- Identifies, labels, and quantifies brain structure volume and shape
- Utilizes deformable surfaces, active shape models, and machine learning for segmentation
- Offers superior segmentation reproducibility compared to manual methods and FreeSurfer
- Provides consistent point-based correspondence for target identification
- Facilitates patient-specific, multi-modal fusion for accurate target identification and trajectory planning
- Enables fast, peri-procedural segmentation of cortical structures
- Supports workflow for verifying brain structure segmentation results
- Generates clinical procedure reports summarizing brain structure volume measurements
- Integration with ClearPoint Neuro Navigation System software for enhanced functionality
Use Cases
- MRI-guided neurosurgical interventions
- Planning for cell and gene therapy delivery
- Assisting in laser ablation procedures
- Guidance for brain biopsies
- Facilitating Deep Brain Stimulation (DBS) lead placement
- Analysis and detection of subtle volumetric and shape abnormalities in traumatic brain injury (TBI)
What Physicians Need to Know
The ClearPoint Maestro Brain Model offers precise anatomical segmentation and volumetric analysis, which is invaluable for neurosurgical planning and interventions. Physicians can leverage its sub-millimeter accuracy and capabilities for longitudinal comparison to perform patient-specific assessments, particularly for procedures such as deep brain stimulation (DBS), laser ablation, biopsy, and targeted drug/gene therapy delivery. Its integration with the ClearPoint Neuro Navigation System facilitates accurate target identification and trajectory planning in MRI-guided procedures.
The ClearPoint Maestro Brain Model is integrated into the ClearPoint Neuro Navigation System (ClearPoint 2.2 Software). It was developed in partnership with Royal Philips, with an ongoing collaboration to add fully automatic subnuclei segmentation. Additionally, ClearPoint Neuro has partnered with NE Scientific, LLC to integrate a GPU-accelerated software solution into the Maestro Brain Model for simulating patient-specific drug infusions, allowing for optimization of infusion parameters pre-procedure.
Details
| Category | Neurology AI, Radiology & Imaging AI, Surgical AI |
| Pricing | Contact for pricing |
| Deployment | Software, available as a standalone diagnostic platform and integrated into the ClearPoint Neuro Navigation System software. Currently installed at select institutions in the United States. |
| Compliance | |
| BAA Available | Unknown AI-estimated |
| HIPAA Compliant | Unknown AI-estimated |
| FDA Status |
1 AI-estimated The ClearPoint Maestro Brain Model received 510(k) clearance (K213645) on August 8, 2022. It is intended for automatic labeling, visualization, volumetric, and shape quantification of segmentable brain structures from a set of MRI images. It was cleared as a diagnostic platform for individuals with suspected traumatic brain injury (TBI) to quantify and label the shape and volume of brain structures from MRI images. |
| Integrations | |
| EHR | Not specified |
| Specialties | Neurology, Neurosurgery, Radiology |
What the Web Says
The ClearPoint Maestro Brain Model is an AI-enabled anatomical segmentation analysis tool developed by ClearPoint Neuro in partnership with Philips. It automates the identification, labeling, and quantification of brain structures from MRI images, aiming to improve accuracy and reproducibility in neurosurgical procedures. The software has received FDA clearance and is integrated into the ClearPoint Neuro Navigation System, which is used in over 60 clinical and research centers. It is designed to assist in various MRI-guided interventions, including deep brain stimulation, laser ablation, biopsy, and targeted drug delivery.
Overall: PositiveStrengths
- Automated and highly reproducible segmentation of brain structures.
- Superior performance compared to manual expert segmentation and other open-source software like FreeSurfer.
- Enhances accuracy and efficiency in MRI-guided neuro interventions.
- Facilitates precise target identification and trajectory planning for various procedures.
- Supports advanced applications like quantifying drug delivery and simulating patient-specific infusions.
- FDA cleared and integrated into an established navigation system.
Limitations
- Requires a learning curve for procedural efficiency.
- Routine MRI software updates can disrupt communication with the ClearPoint Neuro Navigation System.
- Requires vigilance in MR distortion correction and IT maintenance.
- Limited public reviews from individual physicians or healthcare IT professionals outside of company-sponsored information.
- No specific reviews found on G2 or Capterra for the Maestro Brain Model itself, only for ClearPoint Strategy (a different product).
- Reddit discussions are more about the company's stock and market opportunity rather than direct product reviews.
Based on reviews from: Birdeye, ClearPoint Neuro Official Communications/Publications, Diagnostic Imaging, NeuroImage (via ClearPoint Neuro and Diagnostic Imaging), Practical Neurology, accessdata.fda.gov, GlobeNewswire, M. V. Cunha's Substack, Indeed.com, PMC (PubMed Central), Umbrex Consulting, Reddit
Last updated: 2026-07-17
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