WoundCorder
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WoundCorder: Features

Discover WoundCorder, a revolutionary tool transforming wound assessment through cutting-edge smartphone technology and advanced AI. Moving beyond conventional 2D imaging, WoundCorder leverages LiDAR for precise 3D wound mapping.

The Technology Behind Precision: Hardware & AI Integration

1

LiDAR Sensor Integration

We harness the power of LiDAR sensors in modern consumer smartphones to capture high-fidelity depth maps of wound beds, overcoming the limitations of traditional 2D photography for superior data acquisition.

2

Advanced AI Models

Preliminary computer vision (CV) models are employed to accurately identify wound boundaries and differentiate between healthy skin and wound tissue with enhanced precision.

3

Vision-Language Models (VLMs)

VLMs analyze visual data to generate interpretable documentation, providing structured summaries that describe anatomical location and laterality for comprehensive reporting.

Rigorous Validation: Unmatched Accuracy in Wound Measurement

WoundCorder underwent rigorous testing against physical ground-truth benchmarks. Utilizing water displacement tests, we verified the accuracy of our volume calculations, achieving exceptional consistency.

90%

Volume Consistency

Achieved in repeated trials against water displacement benchmarks.

97%

Area Accuracy

Compared to manual tracing, ensuring reliable surface measurements.

Our commitment to precision ensures reliable and consistent wound assessment results for clinical applications.

Enhanced Data Processing: Capturing Every Detail

1

Mesh Points Inside Outline

This function iterates through all vertices of scanned mesh anchors, using 2D projection to gather mesh points falling within the user-defined polygon outline, ensuring comprehensive data capture.

2

Surface Points for Outline

This helper function collects all mesh points within the outline, optionally including boundary points, returning a dense set of points critical for accurate surface triangulation.

3

Update Metrics Changes

For area and volume calculations, we now leverage both densified boundaries and internal mesh points, generating a significantly richer and more precise surface for both top and bottom outlines.

Code Update: Foundations for Future Enhancements

Our latest code update significantly enhances the fidelity and precision of wound measurements by integrating advanced mesh processing capabilities.

  • Added a new function to efficiently collect mesh vertices that are strictly inside a given boundary polygon, ensuring data relevance.
  • Implemented logic for computing area and volume that intelligently combines both boundary and inner mesh points, triangulating them as required for highly accurate computations.
  • These improvements lay the groundwork for continuous enhancement in our wound measurement accuracy and diagnostic capabilities.

The integration of these functionalities ensures that WoundCorder provides unparalleled accuracy and detail in wound assessment, setting a new standard in clinical informatics.

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