# Rapid diffused optical imaging for accurate 3D estimation of subcutaneous tissue features

## TL;DR

A new imaging method called 3D-mDOI can non-invasively estimate tissue depths up to 5 mm, helping with melanoma staging.

## Contribution

3D-mDOI introduces a low-cost, rapid, and non-invasive technique for subcutaneous tissue imaging using diffused optical methods.

## Key findings

- 3D-mDOI can reconstruct lesions up to 5 mm below the tissue surface.
- The method uses consumer-grade hardware and requires about 300 seconds of computation time.
- It enables accurate Breslow depth estimation for melanoma staging.

## Abstract

Conventional light imaging in living tissues is limited to depths under 100 μm by the significant tissue scattering. Consequently, few commercial imaging devices can image tissue lesions beneath the surface, or measure their invasion depth, critical in dermatology. We present 3D-multisite diffused optical imaging (3D-mDOI) an approach that combines photon migration techniques from diffuse optical tomography, with automated controls and image analysis techniques for estimating lesion’s depth via its optical coefficients. 3D-mDOI is a non-invasive, low-cost, fast, and contact-free instrument capable of estimating subcutaneous tissue structures volumes through multisite-acquisition of re-emitted light diffusion on the sample surface. It offers rapid estimation of Breslow depth, essential for staging melanoma. To standardize the performance, 3D-mDOI employs customized calibrations using physical tissue phantoms, to explore the system’s 3D reconstruction capabilities. We find that 3D-mDOI can reconstruct lesions up to 5 mm below the surface, requiring ∼300 s of computation time.

•Rapid, non-invasive 3D-mDOI imaging estimates tissue depths up to 5 mm in 300 s•Consumer-grade OPTIMAP achieves subcutaneous imaging with high computational efficiency•Hybrid modeling combines optical simulations for accurate sub-surface reconstructions•3D-mDOI provides cost-effective melanoma staging via Breslow depth estimation

Rapid, non-invasive 3D-mDOI imaging estimates tissue depths up to 5 mm in 300 s

Consumer-grade OPTIMAP achieves subcutaneous imaging with high computational efficiency

Hybrid modeling combines optical simulations for accurate sub-surface reconstructions

3D-mDOI provides cost-effective melanoma staging via Breslow depth estimation

Classification Description: Optical imaging; Cell biology; Biophysics