Contact-free and sub-surface 3D imaging of tissues

Shanshan Cai; John Mai; Winn Hong; Scott Fraser; Francesco Cutrale

doi:10.1117/12.2626333

7 March 2022 Contact-free and sub-surface 3D imaging of tissues

Shanshan Cai, John Mai, Winn Hong, Scott Fraser, Francesco Cutrale

Proceedings Volume PC11954, Optical Biopsy XX: Toward Real-Time Spectroscopic Imaging and Diagnosis; PC119540I (2022) https://doi.org/10.1117/12.2626333
Event: SPIE BiOS, 2022, San Francisco, California, United States

Conference Poster

Abstract

The availability and the cost of 3D imaging systems are still a problem nowadays, which brings us to the need and urgency of a new way to democratize optical biopsy. Inspired by structural illumination and diffuse optical imaging, we propose a 3D-multiplexed diffused optical imaging (3D-mDOI) solution, a technique to reconstruct the 3D optical properties of the tissue from 2D diffuse images and estimate the depth of tissue lesions. 3D-mDOI uses a low-cost and contact-free design of the imaging acquisition platform, integrating a digital micromirror device (DMD) and an infrared-enhanced CCD camera. The imaging setup that creates custom sampling patterns for tissue photon migration enables spatial multiplexing to overcome low photon signals. We design a hybrid reconstruction pipeline for harvesting the benefits from existing mathematical solutions. The analytical solution of the steady-state radiation transfer equation is utilized to compute each pixel's optical properties in 2D. Monte Carlo simulation provides the stochastic solution for 3D photon diffusion patterns on the discretized tissue volume. We then map the 2D optical properties to the corresponding 3D photon diffusion patterns between a light source and a detector. To better correct the instrumental noises, we design multiple calibrations. 3D-mDOI is versatile, non-invasive, and cost-effective, containing 3D insights to subsurface molecular composition. The technique reconstructs lesions up to 5mm below the surface with 0.2mm axial spatial resolution. We could apply the solution to broad applications in the scientific and medical fields, including the rapid estimation of melanoma staging.

Citation Download Citation

Shanshan Cai, John Mai, Winn Hong, Scott Fraser, and Francesco Cutrale "Contact-free and sub-surface 3D imaging of tissues", Proc. SPIE PC11954, Optical Biopsy XX: Toward Real-Time Spectroscopic Imaging and Diagnosis, PC119540I (7 March 2022); https://doi.org/10.1117/12.2626333

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