Clinical neuroimaging platform

Quantitative MRI
morphometry & glymphatic
imaging — automated.

BrainMetrix turns routine 3D T1 and diffusion MRI into structured volumetric and glymphatic reports — age‑matched z‑scores, percentile trajectories, and DTI‑ALPS indices, delivered to PACS in minutes instead of hours.

Explore features See a sample report

FreeSurfer recon-all-clinical + DSI Studio pipelines
DICOM Q/R, store, and Secondary‑Capture export
Age-, sex-, and ICV-residualized control comparison

Interactive 3D brain visualization showing segmented Harvard-Oxford subcortical structures with Right Putamen highlighted, volume metrics, and z-score distribution against age-matched controls.

3D Harvard-Oxford atlas Z-scored vs. controls

12+

Subcortical & cortical structures quantified per study

Z-scores residualized for age, sex, and intracranial volume

DTI

ALPS index for glymphatic function from diffusion MRI

PACS

Reports returned as DICOM Secondary Capture to your viewer

Capabilities

A complete pipeline, from DICOM to clinical report.

BrainMetrix orchestrates the full quantitative neuroimaging workflow — receiving studies from PACS, segmenting and measuring brain structures, comparing them against age-matched healthy controls, and returning a structured PDF with figures back to your clinical viewer.

3D MRI morphometry

Automated recon-all-clinical segmentation of cortical and subcortical structures from 3D T1 MPRAGE — raw volumes, percent ICV, and percentiles delivered per region.

DTI‑ALPS glymphatic index

Diffusion-Tensor Imaging Along the Perivascular Space — a non-invasive readout of glymphatic clearance, computed per hemisphere with thresholded interpretation tied to the clinical indication.

Age-matched control comparison

Each patient measurement is overlaid on a decade-matched healthy control distribution — z-score, n, and visual placement on a Gaussian curve, side-by-side for every structure.

Percentile trajectory curves

Lifespan normative curves (p5 / p25 / p50 / p75 / p95) for each structure, with the patient plotted in context — useful for tracking change across serial imaging.

Per‑structure detail

Raw volume in mm³, % of intracranial volume, percentile, z-score, and a human-readable interpretation (“within normal range”, “mildly low for age, sex, and head size”) for every labeled region.

PACS‑native delivery

Query / retrieve (findscu / movescu), receive (storescp), and return the finished report as DICOM Secondary Capture so it lives next to the source MRI in your clinical viewer.

Sample report

What a BrainMetrix study looks like.

Reports are designed to be skimmable at a glance and rigorous on inspection — a 3D anatomic overview, per-structure cards, age-trajectory curves, and a decade-matched control distribution for every region.

Three-dimensional Harvard-Oxford atlas rendering with selectable structures and z-score distributions. — **Interactive 3D anatomy.** Click any structure to see its bilateral volumes and decade-matched control distribution.

Per-structure detail cards showing raw volume, percent ICV, percentile, z-score, and color-coded normality range. — **Per-structure detail.** Raw volume, % ICV, percentile, and z-score on a color-coded normality bar for every region.

Age-trajectory percentile curves from age 23 to 97 with the patient plotted at age 38. — **Age-trajectory curves.** p5 / p25 / p50 / p75 / p95 lifespan curves with the patient plotted in context.

Age-adjusted control comparison panel showing Gaussian distributions for each structure with patient value and control mean. — **Age-adjusted control comparison.** Decade-matched healthy controls as a Gaussian distribution — patient value as red line, control mean dashed.

In practice

Built for research rigor and clinical clarity.

For research

Reproducible, structured neuroimaging at scale

Structured outputs. Volumes, percentiles, and z-scores stored alongside the source study — exportable for downstream statistics, longitudinal cohort tracking, or registry submissions.
Validated pipelines. FreeSurfer recon-all-clinical for morphometry and DSI Studio (GQI / DTI) for diffusion — both widely cited and transparent.
Age‑residualized statistics. Each metric is adjusted for age, sex, and intracranial volume, with the residual model and control n surfaced on every figure.
DTI‑ALPS at scale. Hemispheric ALPS indices computed reproducibly from tensor statistics — including the 2025 DSI Studio reconstruction.
Open audit trail. Every report is reproducible from the source DICOM, with intermediate tensor statistics and segmentation files retained per study.

For clinical neurology

Quantitative answers, integrated with your workflow

Cognitive impairment work-up. Objective hippocampal and cortical volume measurements with z-scores against age-matched controls — a quantitative complement to visual MRI interpretation.
Glymphatic assessment. DTI‑ALPS provides a non-invasive index of glymphatic clearance, increasingly used in cognitive disorders, sleep disorders, and small-vessel disease.
Serial comparison. Percentile trajectory curves make it easy to see whether a structure has shifted relative to its prior study.
PACS-native. Reports are returned as DICOM Secondary Capture, so they sit beside the original MRI in your existing PACS / viewer — no separate login.
Clinician-readable. Each measurement carries a plain-English interpretation, color-coded by deviation — designed to be skimmed at a glance during a clinic visit.

About the author

Vincent S. DeOrchis, M.D., M.S., F.A.A.N.

Board-certified neurologist · Fellow of the American Academy of Neurology

BrainMetrix was designed and built by Dr. Vincent S. DeOrchis — a board-certified neurologist with fellowship training in Clinical Neurophysiology and Neuromuscular Disease, and a long-standing interest in neuroimaging and clinical technology innovation.

Dr. DeOrchis serves as Director of Neurology and Stroke Director at St. Francis Hospital and Heart Center, where he led the development of the Catholic Health System’s first interventional stroke program — now a Joint Commission–certified Mechanical Thrombectomy Capable Stroke Center. He is a Clinical Assistant Professor of Neurology at the Zucker School of Medicine at Hofstra/Northwell, an attending neurologist at North Shore University Hospital, and Managing Partner at Neurological Associates of Long Island.

He earned a B.S. in Neural Science from New York University, a Master’s in Physiology and Biophysics from Georgetown, and his M.D. from SUNY Downstate, where he was inducted into Alpha Omega Alpha. He completed neurology residency at Albert Einstein / Montefiore — serving as Chief Resident and House Officer of the Year — followed by fellowship training in Clinical Neurophysiology and Neuromuscular Disease.

Dr. DeOrchis has presented original research at national meetings and published in peer-reviewed journals including Headache, Neurology, Neurology International, Journal of Vascular Diseases, and Muscle & Nerve. He has been recognized as one of New York’s Top Doctors by Castle Connolly and as the only neurologist in Nassau County named to Super Doctors 2025 by The New York Times.

Fellowship-trained in Clinical Neurophysiology & Neuromuscular Disease
Fellow of the American Academy of Neurology
Castle Connolly Top Doctor
Super Doctors 2025 — The New York Times
Alpha Omega Alpha Honor Society
Director of Neurology & Stroke Director, St. Francis Hospital and Heart Center

Full profile at axisneuro.org →

Interested in BrainMetrix for your practice or research program?

BrainMetrix is under active development. Reach out to discuss collaboration, deployment, or research partnerships.

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Quantitative MRI morphometry & glymphatic imaging — automated.