Make Every MRI Geometrically Accurate — Every Patient, Every Scan
Eliminate distortion-driven treatment errors with integrated phantom calibration and AI-powered patient-specific correction.
Hardware Validation
Patient-anatomy phantom validates MRI systems with high-resolution geometric calibration
AI Correction
Cloud platform corrects patient images with per-patient AI algorithms integrated into MRI workflows
Sub-Millimeter Accuracy
Clinically validated precision enables safer, more effective radiation therapy targeting
Certain components of the platform are currently in pilot and pre-commercial deployment.
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MRI Spatial Errors Create Clinical Risk
Geometric distortion in MRI compromises radiation therapy targeting accuracy. These systematic errors persist across all manufacturers and models, creating measurable clinical risks in treatment delivery.
Compromised Treatment Accuracy
MRI spatial errors compromise radiation therapy targeting, increasing risk of geographic miss and unnecessary healthy tissue exposure.
No Patient-Specific Verification
Current QA protocols lack patient-specific spatial verification, leaving treatment teams without essential accuracy data at the point of care.
Periodic, Not Continuous QA
Existing validation relies on periodic system checks, creating accuracy gaps between scheduled assessments and missing daily variation.
A Hardware + AI Platform for MRI Accuracy
PrecisionMRI.AI combines high-resolution phantom-based system validation with AI-powered per-patient geometric distortion correction. Our integrated platform delivers comprehensive spatial accuracy solutions for both system-level calibration and patient-specific correction.
1
Validate System Geometry
Patient-anatomy phantom establishes baseline MRI system performance and geometric characteristics
2
Quantify Spatial Error
High-resolution calibration identifies and measures distortion patterns across the imaging volume
3
Correct Patient Images
AI software applies patient-specific corrections, delivering sub-millimeter accuracy for treatment planning
Platform Advantages
  • Phantom-based system validation
  • AI-powered patient-specific correction
  • Sub-millimeter spatial accuracy
  • Vendor-neutral implementation
  • Proven ROI within 2 years
Two Products. One Integrated Platform.
Our solution integrates phantom-based hardware validation with AI-powered software correction, creating a seamless workflow from system commissioning through patient-specific treatment planning.
Ghead Head Phantom
Hardware Validation
Patient-anatomy mimicking QA phantom enables high-resolution geometric calibration of MRI systems. Designed specifically for head and neck cancer applications, Ghead provides comprehensive spatial characterization across the imaging volume.
  • Patient-anatomy mimicking QA phantom design
  • High-resolution geometric calibration capability
  • Enables patient-specific distortion correction
  • Compatible across MRI manufacturers
Patient-Specific AI Software
Our MVP Platform
Cloud-based platform applies AI algorithms for per-patient geometric distortion correction. Processes individual MRI scans to eliminate spatial errors, integrating seamlessly with existing radiology and radiation oncology workflows.
  • Cloud platform for MRI spatial correction
  • Per-patient AI correction algorithms
  • Integrates with standard MRI workflows
  • Vendor-neutral implementation

Combined Value Proposition
Sub-millimeter accuracy: Clinically validated precision for radiation therapy targeting
Proven ROI: Measurable impact on treatment outcomes and operational efficiency within 2 years
Corrected MRI Enables Precise Targeting
Spatial accuracy translates directly into clinical value. Reliable MRI geometry enables confident radiation beam alignment with tumor boundaries while protecting surrounding healthy structures.
Tumor-Target Alignment
Corrected MRI ensures complete tumor-target alignment, eliminating systematic geometric errors that could result in geographic miss or inadequate dose coverage.
Healthy Tissue Protection
Accurate spatial information enables tighter treatment margins, reducing radiation exposure to healthy tissue and minimizing treatment-related toxicity risk.
These improvements contribute to better patient outcomes and reduced complications. For cancer centers, spatial accuracy represents a measurable quality advancement supporting clinical excellence and patient safety.
Clinical & Technical Validation
PrecisionMRI.AI has achieved key validation milestones across technology development, clinical adoption, and regulatory pathways, demonstrating both technical feasibility and market readiness.
Customer Validation
  • 2 signed letters of intent representing $250K in committed revenue
  • 3 active pilot programs at leading cancer centers
  • Clinical teams evaluating impact on treatment workflows
Regulatory Progress
  • FDA 510(k) pathway confirmed for commercial clearance
  • 2 provisional patents filed protecting core technology
  • Quality management system development underway
Technology Validation
  • Sub-millimeter accuracy achieved in clinical testing
  • Clinically validated across multiple MRI platforms
  • Reproducible results demonstrated in pilot sites
Strategic Partnerships
  • Active discussions with major MRI manufacturers
  • Advisory board from UCLA, Stanford, and UCSF
  • Collaboration framework established with research institutions
These milestones demonstrate technical readiness and validate market demand. Clinical partners recognize MRI spatial accuracy as a critical quality advancement for radiation therapy.
Competitive Landscape
PrecisionMRI.AI occupies a unique position in the MRI quality assurance market. While various vendors offer point solutions for either system validation or software correction, only our platform combines hardware phantom validation with AI-powered patient-specific correction in a vendor-neutral implementation.

Competitive Advantage: PrecisionMRI.AI is the only solution delivering hardware + AI + patient-specific correction + vendor-neutral implementation in a single integrated platform.
Clinical Partners & Collaboration
PrecisionMRI.AI collaborates with leading cancer centers and MRI manufacturers for technology validation, clinical pilot programs, and workflow integration. Our approach emphasizes rigorous clinical validation and shared commitment to patient safety.
Clinical Pilot Sites
We are currently conducting pilot programs at multiple leading cancer centers. These collaborations provide clinical validation and enable us to refine our platform based on real-world feedback from radiation oncology teams.
Pilot programs focus on:
  • Validating accuracy in clinical environments
  • Optimizing workflow integration
  • Measuring impact on treatment planning
  • Gathering user experience insights
MRI Manufacturer Partnerships
We maintain active discussions with major MRI manufacturers to explore integration opportunities and ensure our platform supports the full range of clinical imaging systems.
Partnership opportunities include:
  • Technology integration and validation
  • Joint development programs
  • Distribution and go-to-market strategies
  • Clinical research collaborations
To explore clinical collaboration or partnership opportunities, contact us directly.
Leadership Team & Advisors
PrecisionMRI.AI is led by experienced medical physicists and clinical scientists with deep expertise in MRI physics, radiation oncology, and AI-enabled imaging. Our advisory board features internationally recognized leaders from premier academic medical centers.
Executive Team
Ali Fatemi, Ph.D.
Founder & Chief Executive Officer
Clinical Medical Physicist (MRI & Radiation Oncology). Expert in MRI-guided radiotherapy and geometric QA. 15+ years developing precision imaging protocols.
James Petell, Ph.D.
Co-Founder & Chief Business Development and IP Officer
Senior leadership in private & public organization in research & product development, and IP licensing. Expert in IP commercialization, USPTO Patent Agent.
Mojtaba Safari, Ph.D.
Chief Scientific Officer
MRI & Radiation Oncology Physicist (Hardware & Software). Pioneer in AI-based medical imaging software development. Translates research innovations into clinical products.
Advisory Board
Daniel Low, Ph.D.
Vice Chair, Department of Radiation Oncology, UCLA
An internationally recognized expert in MRI-guided radiotherapy and medical physics, Dr. Low's research has defined industry standards for geometric accuracy.
Liam Ghiam, M.D.
Clinical Associate Professor, UCI
A board-certified radiation oncologist, Dr. Ghiam provides critical clinical perspective on real-world imaging challenges and treatment planning.
Michael Hoff, Ph.D.
Director of Medical Physics, UCSF
As a leading MRI physicist, Dr. Hoff ensures our platform meets rigorous quality assurance standards for clinical adoption and FDA clearance.
PrecisionMRI.AI delivers vendor-neutral MRI spatial accuracy solutions for radiation therapy planning. Our integrated platform combines patient-anatomy mimicking phantoms with AI-powered correction algorithms to address geometric distortion in medical imaging. Designed for medical physics teams and radiation oncology departments, our technology supports quality assurance workflows across all major MRI manufacturers.
Contact: info@precisionmri.ai
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