Abstract

Time Domain Diffuse Optical Tomography (TD-DOT) enables a full 3D reconstruction of the optical properties of tissue, and could be used for non-invasive and cost-effective in-depth body exploration (e.g., thyroid and breast imaging). Performance quantification is crucial for comparing results coming from different implementations of this technique. A general-purpose simulation platform for TD-DOT clinical systems was developed with a focus on performance assessment through meaningful figures of merit. The platform was employed for assessing the feasibility and characterizing a compact hand-held probe for breast imaging and characterization in reflectance geometry. Important parameters such as hardware gating of the detector, photon count rate and inclusion position were investigated. Results indicate a reduced error (<10%) on the absorption coefficient quantification of a simulated inclusion up to 2-cm depth if a photon count rate ≥ 106 counts per second is used along with a good localization (error < 1 mm down to 25 mm-depth).

Highlights

  • Medical imaging often employs tomography as an effective tool to help detecting and characterizing both pathological and physiological conditions in tissues

  • Performing optical measurements with a set of properly arranged sources and detectors enables a full 3D reconstruction of the optical properties that correlate with the nature of imaged tissue. Such an approach is known as Diffuse Optical Tomography (DOT), because light propagation follows a quasi-diffusion like model when working in the NIR on large tissue volumes

  • The rest of this paper is organized as follows: In Section 2 we present the architecture of the developed multipurpose simulation platform, followed by a detailed discussion about the specific kernel for time domain breast tomography, with problem specifications

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Summary

Introduction

Medical imaging often employs tomography as an effective tool to help detecting and characterizing both pathological and physiological conditions in tissues. Performing optical measurements with a set of properly arranged sources and detectors enables a full 3D reconstruction of the optical properties that correlate with the nature of imaged tissue. Such an approach is known as Diffuse Optical Tomography (DOT), because light propagation follows a quasi-diffusion like model when working in the NIR on large (cm3 ) tissue volumes (e.g., for clinical applications). Other approaches involve the detection of the diffused fluorescence signal (Fluorescence DOT) emitted by a specific fluorescent marker after being injected into the tissue [1]

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