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Mesoscopic Fluorescence Molecular Tomography (MFMT) is a novel optical imaging modality that reveals the 3D distribution of fluorescent probes at depths of a few millimeter in turbid tissues. MFMT harnesses scattered photons collected in a reflection geometry and cast an inverse problem to retrieve the spatial distribution of the biomarker of interests. Due to its high-sensitivity and deep depth penetration,...
This study proposes a method to objectively differentiate surgical motor skill by analyzing brain activation in the prefrontal cortex, supplementary motor area (SMA), and primary motor cortex (M1) using functional near infrared spectroscopy (fNIRS) while performing a bimanual surgical task. Results show that experts have a significant decrease (p<0.05) in functional activation in the prefrontal...
Fluorescence lifetime imaging is an essential analytical tool in studies of cells and tissues. Recently, translation of the technique from microscopy to in vivo or with augmented data (hyperspectral) is being developed. One major concern for these new implementations reside in the lengthy acquisition times required. Data reduction techniques are one approach to significantly reduce the imaging protocol...
In this work, we will report on the design and validation of a Laminar Optical Tomography systems developed at RPI to image tissue-engineered constructs. The systems characteristics and image reconstruction methods will be presented and discussed. In silico and in vitro validation of the imaging platform based on phantom studies mimicking the optical properties of various bio-tissues will demonstrate...
Collagen is believed to be one of the principal load bearing components of skin. This implies that deformation of collagen microfibrils play an important role in determining the extent of skin deformation under applied loads. We have developed a novel technique for generating internal strain maps of bundles of collagen microfibrils in the skin. The technique relies on digital image correlation (DIC)...
In this work, we investigate the performances of segmentation algorithms applied to micro-CT images of small animal to derive anatomical templates for guided Fluorescence Molecular Tomography. We report on the performances of Active Contours methods to retrieve the boundary surface of the specimen and the internal distribution of a fluorescent probe. The spatial information gained from this segmentation...
In this work, we propose a method to reconstruct spatially resolved pharmacokinetic rate images of fluorescence agents directly from the boundary photon flux measurements. We use a compartmental modeling scheme to model the pharmacokinetics of fluorescence agents. We coupled this model with the fluorescence diffuse optical tomography (FDOT) forward model to form a state space model which is then iteratively...
Diffuse optical tomography (DOT) poses a typical ill-posed inverse problem with limited number of measurements and inherently low spatial resolution. In this paper, we propose a hierarchical Bayesian approach to improve spatial resolution and quantitative accuracy by using a priori information provided by a secondary high resolution anatomical imaging modality, such as magnetic resonance (MR) or X-ray...
In this paper, we analyze the perturbation in the reconstructed optical absorption images, resulting from the discretization of the forward and inverse problems. We show that the perturbation due to each problem is a function of both the forward and inverse problem solutions and can be reduced by proper refinement of the discretization mesh. Based on the perturbation analysis, we devise an adaptive...
In this paper, we present three different compartmental models to model the pharmacokinetics of Indocyanine green (ICG) in cancerous tumors. We introduce a systematic and robust method to analyze ICG pharmacokinetics based on extended Kalman filtering (EKF) framework. We introduced information theoretic criteria for best compartmental model selection in terms of statistical fit. We tested our approach...
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