Abstract: Systems, methods, and devices for image reconstruction using combined PDE-constrained and simplified spherical harmonics (SPN) algorithm are presented herein. SPN equations can be used as the forward model in diffuse optical tomography (DOT) and employed in a PDE-constrained reduced space sequential quadratic programming (rSQP) optimization method to reconstruct spatially distributed optical properties, such as absorption, scattering, fat, oxygenated hemoglobin, de-oxygenated hemoglobin, fluorescent concentration, quantum yield, etc. The SPN algorithm with the PDE-constrained rSQP optimization method allows for DOT imaging that uses significantly less computational resources (e.g., time and random-access memory (RAM)) than methods employing the equation of radiative transfer (ERT). The techniques disclosed herein allow for more expeditious image processing as well as the potential for clinical diagnosis using DOT imaging.

Abstract: Devices, methods, and systems for providing optical imaging to detect and characterize anatomical and/or physiological indicators, such as, rheumatoid arthritis, and devices, methods and systems for computer aided detection and diagnosis of tomographic images. Embodiments for optimizing machine classification of tissue samples are described. Embodiments for using machine classification techniques to classify indicators present in optical tomographic images are described.

Abstract: Systems, methods, and devices for image reconstruction using combined PDE-constrained and simplified spherical harmonics (SPN) algorithm are presented herein. SPN equations can be used as the forward model in diffuse optical tomography (DOT) and employed in a PDE-constrained reduced space sequential quadratic programming (rSQP) optimization method to reconstruct spatially distributed optical properties, such as absorption, scattering, fat, oxygenated hemoglobin, de-oxygenated hemoglobin, fluorescent concentration, quantum yield, etc. The SPN algorithm with the PDE-constrained rSQP optimization method allows for DOT imaging that uses significantly less computational resources (e.g., time and random-access memory (RAM)) than methods employing the equation of radiative transfer (ERT). The techniques disclosed herein allow for more expeditious image processing as well as the potential for clinical diagnosis using DOT imaging.

Abstract: The disclosed subject matter includes devices, methods, and systems for generating optical tomographic data including volumetric and surface geometric data. The disclosed subject matter also includes devices, methods, and systems for generating optical tomographic data for purposes of diagnosing rheumatoid arthritis.

Abstract: Devices, methods, and systems for providing optical imaging to detect and characterize anatomical and/or physiological indicators, such as, rheumatoid arthritis, and devices, methods and systems for computer aided detection and diagnosis of tomographic images. Embodiments for optimizing machine classification of tissue samples are described. Embodiments for using machine classification techniques to classify indicators present in optical tomographic images are described.