Anuradha Godavarty

Prof. Anuradha Godavarty

Dept of Biomedical Engineering, 10555 W. Flagler St., EC 2675, Florida International University, Miami, FL 33174, USA
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Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 June 2003 in Physics in Medicine & Biology
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Journal Article
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AGAnuradha Godavarty
Anuradha Godavarty
MEMargaret J Eppstein
Margaret J Eppstein
CZChaoyang Zhang
Chaoyang Zhang
STSangeeta Theru
Sangeeta Theru
ATAlan B Thompson
Alan B Thompson
ESEva M Sevick-Muraca
Eva M Sevick-Muraca
A novel image-intensified charge-coupled device (ICCD) imaging system has been developed to perform 3D fluorescence tomographic imaging in the frequency-domain using near-infrared contrast agents. The imager is unique since it (i) employs a large tissue-mimicking phantom, which is shaped and sized to resemble a female breast and part of the extended chest-wall region, and (ii) enables rapid data acquisition in the frequency-domain by using a gain-modulated ICCD camera. Diffusion model predictions are compared to experimental measurements using two different referencing schemes under two different experimental conditions of perfect and imperfect uptake of fluorescent agent into a target. From these experimental measurements, three-dimensional images of fluorescent absorption were reconstructed using a computationally efficient variant of the approximate extended Kalman filter algorithm. The current work represents the first time that 3D fluorescence-enhanced optical tomographic reconstructions have been achieved from experimental measurements of the time-dependent light propagation on a clinically relevant breast-shaped tissue phantom using a gain-modulated ICCD camera.

8 July 2002 in Proceedings of the National Academy of Sciences
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MEMargaret J. Eppstein
Margaret J. Eppstein
DHDaniel J. Hawrysz
Daniel J. Hawrysz
AGAnuradha Godavarty
Anuradha Godavarty
ESEva M. Sevick-Muraca
Eva M. Sevick-Muraca
A method for inverting measurements made on the surfaces of tissues for recovery of interior optical property maps is demonstrated for sparse near-infrared (NIR) fluorescence measurement sets on large tissue-simulating volumes with highly variable signal-to-noise ratio. A Bayesian minimum-variance reconstruction algorithm compensates for the spatial variability in signal-to-noise ratio that must be expected to occur in actual NIR contrast-enhanced diagnostic medical imaging. Image reconstruction is demonstrated by using frequency-domain photon migration measurements on 256-cm 3 tissue-mimicking phantoms containing none, one, or two 1-cm 3 heterogeneities with 50- to 100-fold greater concentration of Indocyanine Green dye over background levels. The spatial parameter estimate of absorption owing to the dye was reconstructed from only 160 to 296 surface measurements of emission light at 830 nm in response to incident 785-nm excitation light modulated at 100 MHz. Measurement error of acquired fluence at fluorescent emission wavelengths is shown to be highly variable. Convergence and quality of image reconstructions are improved by Bayesian conditioning incorporating ( i ) experimentally determined measurement error variance, ( ii ) recursively updated estimates of parameter uncertainty, and ( iii ) dynamic zonation. The results demonstrate that, to employ NIR fluorescence-enhanced optical imaging for large volumes, reconstruction approaches must account for the large range of signal-to-noise ratio associated with the measurements.

18 March 2005 in Medical Physics
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Journal Article
Closed access
AGAnuradha Godavarty
Anuradha Godavarty
ESEva M. Sevick‐Muraca
Eva M. Sevick‐Muraca
MEMargaret J. Eppstein
Margaret J. Eppstein

1 February 2003 in Carbon
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Journal Article
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YYYaw D Yeboah
Yaw D Yeboah
YXYong Xu
Yong Xu
ASAtul Sheth
Atul Sheth
AGAnuradha Godavarty
Anuradha Godavarty
PAPradeep K Agrawal
Pradeep K Agrawal

2 December 2008 in Medical Engineering & Physics
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Journal Article
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SESarah J. Erickson
Sarah J. Erickson
AGAnuradha Godavarty
Anuradha Godavarty
Near-infrared (NIR) optical imaging is a non-invasive and non-ionizing modality that is emerging as a diagnostic/prognostic tool for breast cancer and other applications related to functional brain mapping. In recent years, hand-held based optical imaging devices are developed for clinical translation of the technology, as opposed to the various bulky optical imagers available. Herein, we review the different hand-held based NIR devices developed to date, in terms of the measurement techniques implemented (continuous wave, time or frequency-domain), the imaging methods used, and the specific applications towards which they were applied. The advantages and disadvantages of the different hand-held optical devices are described and also compared with respect to a novel hand-held based device currently developed in our Optical Imaging Laboratory towards three-dimensional tomography studies.

1 January 2004 in Journal of Biomedical Optics
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AGAnuradha Godavarty
Anuradha Godavarty
ATAlan B. Thompson
Alan B. Thompson
RRRanadhir Roy
Ranadhir Roy
MGMikhail Gurfinkel
Mikhail Gurfinkel
MEMargaret J Eppstein
Margaret J Eppstein
ESEva Marie Sevick-Muraca
Eva Marie Sevick-Muraca
Molecular targeting with exogenous near-infrared excitable fluorescent agents using time-dependent imaging techniques may enable diagnostic imaging of breast cancer and prognostic imaging of sentinel lymph nodes within the breast. However, prior to the administration of unproven contrast agents, phantom studies on clinically relevant volumes are essential to assess the benefits of fluorescence-enhanced optical imaging in humans. Diagnostic 3-D fluorescence-enhanced optical tomography is demonstrated using 0.5 to 1 cm3 single and multiple targets differentiated from their surroundings by indocyanine green (micromolar) in a breast-shaped phantom (10-cm diameter). Fluorescence measurements of referenced ac intensity and phase shift were acquired in response to point illumination measurement geometry using a homodyned intensified charge-coupled device system modulated at 100 MHz. Bayesian reconstructions show artifact-free 3-D images (3857 unknowns) from 3-D boundary surface measurements (126 to 439). In a reflectance geometry appropriate for prognostic imaging of lymph node involvement, fluorescence measurements were likewise acquired from the surface of a semi-infinite phantom (8×8×8 cm3) in response to area illumination (12 cm2) by excitation light. Tomographic 3-D reconstructions (24,123 unknowns) were recovered from 2-D boundary surface measurements (3194) using the modified truncated Newton's method. These studies represent the first 3-D tomographic images from physiologically relevant geometries for breast imaging.