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The Technology Behind the VMA®

Motion-Based Spinal Imaging Built for Objective Diagnosis

The Vertebral Motion Analyzer (VMA®) is a patented spinal imaging technology designed to measure and quantify spinal motion in real time. By evaluating how the spine functions under load and during movement, the VMA® generates objective diagnostic data that static imaging modalities are not designed to capture.
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See Motion Measured

Real-Time Motion
Spinal movement captured during motion.
Quantified Measurement
Spinal motion measured using defined parameters.
Structured Reporting
Motion data translated into clinical reports

Real time motion

Visualizes spinal movement in motion.

90%

Consistent motion capture across standardized studies.*

0.5mm

Defined spinal translation measurement precision.*

FDA

Cleared motion-based imaging system

In Personal Injury Care

Where Motion-Based Diagnosis Matters Most

In personal injury cases, spinal ligament instability is frequently overlooked because conventional imaging evaluates the spine at rest. By measuring spinal motion with precision, the VMA® provides objective findings that help clarify injury severity and support appropriate clinical and documentation decisions.
  • 1
    Moves beyond sprain and strain classifications
  • 2
    Documents instability not visible on MRI or X-ray
  • 3
    Provides objective, defensible diagnostic evidence
Where Motion-Based Diagnosis Matters Most

How the VMA Measures Spinal Motion

The VMA® captures and analyzes spinal movement using standardized, repeatable measurement protocols designed to support diagnostic accuracy and consistency.

Weight-Bearing

Measures motion under real-world spinal load

Real-Time

Captures continuous motion, not static positions

Quantified

Measures translation and angular movement precisely

Repeatable

Standardized process ensures consistent diagnostic results

The Difference Is Motion

Why Motion-Based Imaging Changes Spinal Diagnosis

By evaluating how the spine actually moves under load, motion-based imaging addresses limitations inherent in static imaging methods that were never designed to assess functional instability.

01

Static Images Miss Functional Injury

Ligament instability may remain undetected when the spine is evaluated only at rest.

02

The Spine Is a Dynamic System

True spinal behavior is expressed through movement, not static positioning.

03

Weight-Bearing Reveals Instability

Evaluating the spine under load reflects how patients function in daily life.

04

Motion Must Be Quantified

Objective diagnosis requires precise measurement, not visual interpretation alone.

05

Measurement Creates Diagnostic Confidence

Quantified motion data reduces uncertainty and strengthens clinical decision-making.

06

Objective Findings Support Better Care

When instability is clearly identified, diagnosis, documentation, and treatment align more effectively

Real Time Motion
Additional diagnostic tools support motion-based evaluation across clinical and imaging environments.

System Expansion

  • Integrate with clinical operations
  • Streamline data handling
  • Support consistent evaluations

Supporting Technologies

Tools That Extend
Motion-Based Diagnosis

These complementary technologies enhance the VMA ecosystem by supporting precise motion capture, analysis, and diagnostic consistency.
  • Enhance motion visualization
  • Support quantitative assessment
  • Aid diagnostic interpretation
Innovate. Implement. Inspire

A Diagnostic Technology Built for How the Spine Actually Works

The VMA® was designed to address the fundamental limitations of static spinal imaging by measuring motion, quantifying instability, and producing objective diagnostic evidence.
  • Captures spinal motion under real-world conditions
  • Quantifies instability with precise measurement
  • Produces standardized, defensible diagnostic reports
  • Supports confident clinical and diagnostic decisions

Next Step

Book Your Strategy Session

Discuss whether motion-based spinal imaging is clinically and operationally appropriate for your practice.

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