designed by
&
Your valve analysis co-pilot.
VALVIA helps clinicians, researchers, and trainees explore cardiac CT-derived anatomy, practice aortic valve measurement workflows, and create standardized research-use annotations from retrospective or deidentified imaging data.
HOW IT WORKS.
Import your imaging data
Load CT/CTA datasets for retrospective review, deidentified case study, educational demonstration, or research annotation workflows.
AI pipeline makes measurements
Our AI agent automatically segments anatomy, identifies key landmarks, & produces measurements in minutes.
View results in reports & 3D apps
Review structured reports alongside interactive 3D visualizations for comprehensive retrospective analysis, education, and team review.
Edit, export, & share results
Refine measurements as needed & export finalized summaries for study documentation, model development, and training review
STANDARDIZED REPORTS IN MINUTES.
Root and valve geometry, organized
annulus diameters/area, STJ & sinus dimensions, commissural heights/angles, & cusp hinge/nadir
landmarks standardized into a structured 3D
workspace
Leaflet, coaptation, & advanced metrics
geometric height, effective height, free-margin
length, coaptation height/length, symmetry, &
related concepts for education, research, &
measurement workflow development.
Detailed outputs minutes after imaging
a complete measurement report with labeled
landmarks, confidence flags, & edit-ready values
generated from CT in <10 minutes & improved
over time from specialist corrections.
EASY TO USE DESKTOP & VR APPS.
PRECISE METRICS, SIMPLIFIED.
Fast, guided workflow
load a CT, review auto-generated outputs,
& approve or tweak it in a simple
step-by-step checklist.
Click-to-correct editing
drag landmarks, nudge contours, &
adjust measurements with instant
recompute, no manual re-measuring.
Confidence + alerts built in
low-confidence measurements are clearly
flagged so specialists focus where it matters;
edits are captured for model improvements.
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VR for complex 3D anatomy
grab, rotate, & inspect the valve/root at true
depth; place commissures, hinge points, &
coaptation landmarks naturally in 3D space.
One-click sign-off + audit trail
Capture user edits, timestamps, & annotation
changes to support study documentation,
quality review, & model-development datasets.
PREMIER AI PIPELINES, IMAGING VENDOR AGNOSTIC.
MODEL TRAINING
1.
SYSTEM USAGE
DATA CAPTURE
3.
2.
Our models continually improve from routine review
Trained with world-class datasets & physicians
Built from high-quality, expert-labeled cardiac CT data from leading institutions, continuously improved using specialist correction capture.
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Ensemble 3D neural net backbone
Multiple state-of-the-art models segment the annulus, STJ, sinuses, root, & leaflets for robust performance across scanners & anatomies.
Landmark detection for complex geometry
automated commissures, hinge points, nadirs, & coaptation
landmarks that anchor valve-relevant measurements.
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Multi-model & -method with build in redundancy
Combines multiple AI models with classic computer vision & geometry-based checks so every key landmark & measurement is cross-validated for reliability.
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