Neuroimaging Intelligence

MRI data transformed into biological truth

PhenoSpan Imaging converts complex, multi-site MRI data into harmonized, population-referenced intelligence for clinical research and therapeutic development.

Our Platform Meet the Team
🧠
10K+
Normative Reference Scans
30%
Earlier Atrophy Detection
$15M
Trial Cost Savings Per Study
The Challenge

Clinical trials are failing because
MRI methods aren't keeping up

Current neuroimaging approaches detect disease too late, suffer from scanner variability, and require massive sample sizes to show meaningful effects.

01

Late-Stage Detection

Standard MRI endpoints only capture changes at advanced stages of disease progression — too late for effective intervention or meaningful measurement of treatment response.

02

High Screening Failure Rates

Patient selection in neurological clinical trials is costly and inefficient. Without precise imaging-based tools, a large proportion of recruited patients do not meet trial criteria.

03

Multi-Site Scanner Variability

MRI data collected across multiple sites and scanner types introduces measurement noise that obscures true biological signals and inflates the sample sizes needed to detect real effects.

04

No Population Reference Standard

Without a robust normative baseline, it is difficult to distinguish true disease-related change from normal variation — limiting the sensitivity and reliability of imaging endpoints.

What We Do

A complete neuroimaging analytics platform

Our core capabilities are built on years of foundational research in neuroimaging and clinical neuroscience, now engineered for commercial scale.

🔬

Multi-Site MRI Harmonization

Software-only harmonization using rotationally invariant features and dMRI-specific algorithms — deployable across any site without physical calibration hardware.

📊

Normative Reference Modeling

Pediatric and lifespan normative atlases derived from thousands of rigorously curated, regulatory-grade scans. Enables virtual reference standards and deviation scoring for patient selection.

🧬

Diffusion MRI Tract Analytics

Advanced diffusion MRI tractography and tract-level analytics that reveal white matter microstructure beyond what structural MRI alone can detect.

📈

Longitudinal Trajectory Mapping

Models that capture the rate and trajectory of brain change over time — not just cross-sectional volume — providing far more sensitive imaging endpoints.

🏗️

Structural MRI Morphometry

Cortical volume, thickness, and shape analysis standardized across sites and calibrated against population norms to isolate true biological deviation.

💡

Imaging-Based Biomarker Development

End-to-end biomarker pipeline from raw imaging data through validated, trial-ready endpoints suitable for regulatory research contexts.

🛠️

MRI Sequence Design & Consultation

Expert consultation on the design and development of optimized MRI sequences for neuroimaging research — tailored to your study protocol and scanner environment.

🏥

Clinical Site Sequence Installation

Hands-on support for deploying and validating MRI sequences across clinical sites, ensuring consistent acquisition parameters from day one of your study.

✅

Initial Data Quality Control

Systematic QC protocols applied at the point of data collection to catch acquisition issues early — before they affect downstream analysis or trial timelines.

Our Solution

Turning MRI data into actionable
biological intelligence

PhenoSpan bridges the gap between raw neuroimaging data and the reliable, population-referenced insights that clinical research demands.

Precision Patient Selection

Earlier, More Accurate Enrollment

Our normative modeling framework generates individual-level deviation scores from population baselines, enabling researchers to identify the right patients earlier and more precisely.

Cross-Site Harmonization

Consistent Data Across Every Site

Our software-based harmonization removes scanner-induced variability without the need for physical calibration hardware — delivering consistent, trustworthy data regardless of acquisition site.

Normative Reference Intelligence

A Population Baseline You Can Trust

Built from thousands of rigorously curated scans, our normative atlas provides a robust reference standard for detecting meaningful deviation — supporting both research endpoints and trial design.

The Team

Founded by leading experts
in neuroimaging and MRI harmonization

Our founders bring rare expertise at the intersection of clinical neuroscience, advanced MRI methodology, and AI-driven data analytics.

Suheyla Cetin-Karayumak

Suheyla Cetin-Karayumak, PhD

CEO & Co-Founder

Specialist in medical imaging, AI, and harmonization of multi-site MRI. Leading the company's scientific strategy and commercialization efforts.

Yogesh Rathi

Yogesh Rathi, PhD

Founder

Pioneer in diffusion MRI, tractography, harmonization, and large-scale population analysis.

Lipeng Ning

Lipeng Ning, PhD

Co-Founder

Expert in MRI reconstruction algorithms, brain connectivity, and information-theoretic frameworks.

Our Advantage

Why PhenoSpan delivers where
conventional approaches fall short

01

PhenoSpan

Software-only harmonization — deployable instantly across any site without logistical overhead or physical calibration equipment.

Why It Matters

Traditional approaches to multi-site calibration are slow, expensive, and difficult to scale. Our method removes those barriers entirely.

02

PhenoSpan

Longitudinal trajectory norms that capture the rate and direction of brain change over time — not just a single snapshot.

Why It Matters

Cross-sectional snapshots miss the dynamic nature of neurological change. Trajectory-based norms are far more sensitive to early and subtle progression.

03

PhenoSpan

Normative atlas built from rigorously curated, raw imaging data with the provenance and quality required for regulated clinical research.

Why It Matters

Many approaches rely on secondary or administrative data sources that lack the imaging fidelity needed for reliable endpoint measurement.

Scientific Advisory Board

Guided by world-leading experts
in neuroimaging research

Our scientific advisory board brings decades of expertise in psychiatric neuroimaging, MRI methodology, and translational neuroscience.

MS

Martha E. Shenton, PhD

Scientific Advisor

Professor of Psychiatry and Radiology at Harvard Medical School. Founding Director, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital. Research Associate, Department of Psychiatry, Massachusetts General Hospital.

MK

Marek Kubicki, MD, PhD

Scientific Advisor

Professor of Psychiatry and Associate Professor of Radiology at Harvard Medical School. Associate Director, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital. Co-Director, Center for Morphometric Analysis, Massachusetts General Hospital.

LO

Lauren J. O'Donnell, PhD

Scientific Advisor

Associate Professor of Radiology at Harvard Medical School. Department of Radiology, Brigham and Women's Hospital.

YR

Yogesh Rathi, PhD

Scientific Advisor & Founder

Associate Professor of Psychiatry and Radiology at Harvard Medical School. Associate Director, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital. Core Director, Center for Morphometric Analysis, Massachusetts General Hospital.

LN

Lipeng Ning, PhD

Scientific Advisor & Co-Founder

Assistant Professor of Psychiatry at Harvard Medical School. Investigator, Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital.

Get in Touch

Ready to transform your trial's
imaging analytics?

Whether you're a research sponsor, imaging partner, or academic collaborator, we'd love to discuss how PhenoSpan's platform can support your work.

Contact Our Team Explore Capabilities

Or reach us directly at info [at] phenospanimaging [dot] com