SoniX EchoQuant™

Simplifying Complex Measurements and Analysis
AI Echocardiography Quantification Solution

Systematically supporting every stage
of quantitative echocardiography analysis
through intuitive visual interfaces, including Strain Analysis,
View Classification, and the Image Quality Meter.
Maximize confidence in clinical decision-making with real-time,
AI-driven analysis.

Enhancing Clinician
Workflow Efficiency

AI automatically measures over 81 cardiac parameters,
drastically reducing interpretation time. Experience
a clinical workflow innovation that mitigates clinician fatigue
and elevates diagnostic accuracy.

• LV GLS: Manual measurement ~48 sec → AI-automated ~6 sec
• LARS: Manual measurement ~27 sec → AI-automated ~2 sec

※ Clinical Evidence: Artificial intelligence-enhanced automation of left ventricular diastolic assessment: a pilot study for feasibility, diagnostic validation, and outcome prediction (2024)

The Process

SoniX EchoQuant™ Workflow

Core Features

Zero-Click AI Automation
& High Analysis Performance

Zero-Click
AI Automated Analysis

SoniX EchoQuant is a solution where AI automatically performs
the entire quantitative measurement process previously handled manually
by specialists in echocardiography—requiring zero clicks.

Analysis initiates automatically the moment DICOM images are received.
The entire sequence—from image quality assessment
and view classification to structural segmentation, cardiac cycle detection,
keyframe extraction, and quantitative measurement—is processed through
a single, unified AI pipeline.

SoniX EchoQuant™

5 Step
AI Automated Measurement

Step 1: Image Quality Assessment

The Image Quality Meter evaluates image quality on a 5-tier scale, automatically excluding images unsuitable for analysis.
Step 2: Automated View Classification

Classifies 37 distinct views, including B-mode, M-mode, and Doppler images, achieving an average accuracy of 96.25%.
Step 3: Structural Segmentation and Tracking

Automatically extracts and tracks regions of interest (ROIs) for each cardiac structure based on segmentation AI.
Step 4: Cardiac Cycle Detection

Detects systole and diastole without requiring ECG signals and automatically selects keyframes.
Step 5: Quantitative Measurement Calculation

Automatically measures over 80 parameters to calculate B-mode, M-mode, Doppler, and strain metrics, demonstrating a correlation of r ≥ 0.97 across key measurements.

Automated Strain Analysis
Without ECG

SoniX EchoQuant™’s Auto Strain feature automatically
measures strain without requiring ECG signals.

Delivering high clinical reliability with an LVGLS PCC of 0.95,
it simultaneously enhances patient convenience
and workflow efficiency.

Auto Strain

Image Selection (Quality-Aware)

Automatically selects images optimal for strain analysis based on quality scores. It ensures high reliability by excluding low-quality images from the analysis.
Segmentation and Cardiac Cycle Tracking

The AI automatically segments myocardial borders frame-by-frame and detects systolic and diastolic cycles to precisely identify end-systolic and end-diastolic keyframes.
Quantitative Strain Calculation (ECG-Free)

Automatically measures LV, LA, and RV strain without requiring ECG signals. With an LVGLS PCC of 0.95 and a LARS PCC of 0.89, it ensures clinical reliability equivalent to manual measurements by specialists.

Performance

Quantitative Measurement Items
& Performance Summary

제품 성능 표
Measurement Items	Number of Parameters	PCC (vs. Specialist	Analysis Speed	ECG Required	Compared to Competitors
B-mode Automated Measurement (Structure, Size, Volume)	33	0.97	0.8 sec / 50 frames	Not Required	Highest Count
M-mode Automated Measurement (Linear Metrics)	18	0.97	0.8 sec / 50 frames	Not Required	Highest Count
Doppler Automated Measurement (Blood Flow & Diastolic	30	0.98	-	Not Required	Highest Count
Auto Strain (LV, LA, RV)	6	0.89~0.95	Fully Automated	Not Required ★	World's First*

81 Quantitative Measurement Items

World's Most
FDA-Cleared Measurement Metrics

The Industry's
Most Comprehensive Range
of FDA-Cleared Metrics

As of June 2025, the solution features 81 quantitative metrics,
offering the industry's most extensive selection of FDA-cleared
indicators to support a highly diverse range of diagnostic measurements.

Environment-Agnostic Compatibility

It is entirely vendor-independent
and can be used immediately
with your existing ultrasound equipment.

Furthermore, both Cloud services
and On-premise deployments are fully supported,
allowing you to select the system configuration best tailored
to your hospital's specific needs.

Three Core Values

SoniX EchoQuant defines the future
of echocardiography diagnostics
through zero-click AI automation,
universal connectivity, and global reliability.

Zero-Click AI Automation

Automatically measures over 80 cardiac parameters without requiring any manual clicks.
Clinical Reliability

Delivers proven clinical trustworthiness, backed by FDA clearance and a 98% image recognition accuracy rate.
High Compatibility

Offers exceptional versatility, seamlessly integrating with your existing systems without the need for equipment replacement.

Other products

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AI Scan Guide.
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to ensure standardized
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SoniX EchoPilot LVH™

Differential Diagnosis Support.
Assists clinicians in differentiating
the underlying causes of myocardial hypertrophy,
including hypertrophic cardiomyopathy (HCM),
cardiac amyloidosis, and hypertensive heart disease.

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Simplifying Complex Measurements and Analysis AI Echocardiography Quantification Solution

Enhancing Clinician Workflow Efficiency