Dr. Joyoni Dey Profile

Dr. Joyoni Dey

Associate Professor at Louisiana State Univ

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Publications (15)

Proceedings Article | 4 April 2022 Poster + Presentation + Paper

Observation of fringe patterns from a modulated phase grating x-ray interferometry system

Ivan Hidrovo, Sydney Carr, Kyungmin Ham, Les Butler, Amitava Roy, Joyoni Dey

Proceedings Volume 12031, 120313L (2022) https://doi.org/10.1117/12.2611814

KEYWORDS: Fringe analysis, X-rays, Interferometry, Phase interferometry

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Proceedings Article | 4 April 2022 Poster + Presentation + Paper

Hybrid modulated-phase-grating for phase contrast x-ray for a varying fringe period clinical interferometry system

Elizabeth Park, Jingzhu Xu, Joyoni Dey

Proceedings Volume 12031, 120313N (2022) https://doi.org/10.1117/12.2611610

KEYWORDS: X-rays, Interferometry, Modulation, Phase contrast, Imaging systems, Cancer, X-ray imaging

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Proceedings Article | 4 April 2022 Poster + Presentation + Paper

Maximum-likelihood estimation of thickness with a linear-scatter model for mammography

Bryce Smith, Joyoni Dey

Proceedings Volume 12031, 120311Y (2022) https://doi.org/10.1117/12.2611970

KEYWORDS: X-rays, X-ray detectors, Monte Carlo methods, Mammography, X-ray sources, Sensors, X-ray imaging, Breast, Tissues, Expectation maximization algorithms

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SPIE Journal Paper | 26 March 2020 Open Access

X-ray interferometry without analyzer for breast CT application: a simulation study

Jingzhu Xu, Kyungmin Ham, Joyoni Dey

JMI, Vol. 7, Issue 02, 023503, (March 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.2.023503

KEYWORDS: X-rays, Sensors, Visibility, Interferometry, Breast, Modulation, Fringe analysis, X-ray computed tomography, X-ray imaging, Seaborgium

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Proceedings Article | 16 March 2020 Paper

Investigation of artifacts due to large-area grating defects and correction using short window Fourier transform and convolution neural networks for phase-contrast x-ray interferometry

Joyoni Dey, Jingzhu Xu, Bryce Smith

Proceedings Volume 11312, 113124Z (2020) https://doi.org/10.1117/12.2549409

KEYWORDS: X-rays, Signal attenuation, Convolution, Neural networks, Interferometry, Fourier transforms, X-ray imaging, Fringe analysis, Phase interferometry

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Proceedings Article | 1 March 2019 Paper

Towards deep iterative-reconstruction algorithms for computed tomography (CT) applications

Abhejit Rajagopal, Noah Stier, Joyoni Dey, Michael King, Shivkumar Chandrasekaran

Proceedings Volume 10948, 1094856 (2019) https://doi.org/10.1117/12.2513005

KEYWORDS: Reconstruction algorithms, Expectation maximization algorithms, Sensors, Computed tomography, Algorithm development, Signal attenuation, Physics, Neural networks, Evolutionary algorithms, Detection and tracking algorithms

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Proceedings Article | 1 March 2019 Paper

Investigation of scintillation light spread in a hemi-ellipsoid monolithic crystal for Cardiac SPECT using Geant4

Hanif Soysal, Joyoni Dey, William Donahue

Proceedings Volume 10948, 109485V (2019) https://doi.org/10.1117/12.2512858

KEYWORDS: Crystals, Sensors, Scintillation, Single photon emission computed tomography, Monte Carlo methods, Photons, Scintillators, Detection and tracking algorithms, Geometrical optics

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Proceedings Article | 9 March 2018 Presentation + Paper

Two-dimensional single grating phase contrast system

Jingzhu Xu, Joyoni Dey, Kyungmin Ham, Narayan Bhusal, Leslie Butler

Proceedings Volume 10573, 1057323 (2018) https://doi.org/10.1117/12.2292829

KEYWORDS: X-rays, Phase contrast, Interferometry, Mammography, Near field, X-ray imaging, Interferometers

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Proceedings Article | 29 March 2013 Paper

Toward improved quantification of disease progression and treatment monitoring using dynamic or static steady-state tumor-model parameters

Joyoni Dey, Robert Licho

Proceedings Volume 8676, 867609 (2013) https://doi.org/10.1117/12.2006470

KEYWORDS: Tumors, Diffusion, Magnetic resonance imaging, Data modeling, Brain, Computed tomography, Tumor growth modeling, Lung, Positron emission tomography, Mathematical modeling

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Clinical Oncological imaging is performed with various modalities, CT, MRI and F-18-FDG-PET. Recently, investigators have used diffusion-advective-reaction tumor-growth models for registration to brain-atlas for MRI braintumor datasets. We wish to extract model parameters from clinical time series scans of tumors (e.g. CT or MRI of brain or lung tumors) to see if some of the parameters, tumor growth rate and/or diffusion-coefficient, could potentially serve as predictive markers for monitoring disease and treatment response. We can then correlate with disease history and/or PET SUV to assess the viability of the model parameters as markers. One hurdle to performing this is that for majority of patients only 1 or 2 scans would be available for a specific tumor. We first take an existing diffusion-advectionreaction dynamic tumor growth model and generate series of synthetic tumors. Then we try to invert the model and recover the coefficient for one or multiple target scans, minimizing the sum-squared-error using APPSPACK. We find that for this idealized case we could recover the diffusion-coefficient and growth-rate parameters with ~2%-3% error whether we used the entire time series or a single time point. However, in general, for either case (multiple or single time scan) some additional parameters such the tumor time scan and starting locations maybe necessary in the minimization. In a second (novel) approach, we hypothesize that over a short time scale the tumor density/volume change is small (or undetectable). Thus the cell birth and death and diffusion terms are in near-equilibrium. This steady-state model diffusion-coefficient and growth parameters may then be extracted from even a single CT or MRI scan available for each patient. Our steady state forward simulation and inversion could recover steady-state diffusion and growth-rate parameters with near-perfect (~0.6% ) error for no-noise case and ~(0,7%) error for a high-noise case. The steady-state model fitted excellently to a lung-tumor (1-d) profile of an (anonymized) patient with only 1.74% fitting error in a sumsquared sense.

Proceedings Article | 19 March 2013 Paper

Objective assessment of penalized maximum likelihood reconstruction with sparsity-promoting penalty for Myocardial perfusion SPECT imaging

Joyeeta Mukherjee, Joyoni Dey, Michael King, Souleymane Konate

Proceedings Volume 8668, 86681Y (2013) https://doi.org/10.1117/12.2007061

KEYWORDS: Surface plasmons, Single photon emission computed tomography, Defect detection, Wavelets, Sensors, Reconstruction algorithms, Visualization, Signal attenuation, Picosecond phenomena, 3D imaging standards

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Proceedings Article | 2 March 2011 Paper

Creation of 3D digital anthropomorphic phantoms which model actual patient non-rigid body motion as determined from MRI and position tracking studies of volunteers

C. Connolly, A. Konik, P. K. R. Dasari, P. Segars, S. Zheng, K. L. Johnson, J. Dey, M. King

Proceedings Volume 7964, 79642G (2011) https://doi.org/10.1117/12.878193

KEYWORDS: Magnetic resonance imaging, Monte Carlo methods, Single photon emission computed tomography, 3D modeling, Motion models, Signal attenuation, Electrocardiography, Chest, Heart, Motion estimation

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Proceedings Article | 19 March 2008 Paper

Temporal change analysis for improved tumor detection in dedicated CT breast imaging using affine and free-form deformation

Joyoni Dey, J. Michael O'Connor, Yu Chen, Stephen Glick

Proceedings Volume 6913, 69131D (2008) https://doi.org/10.1117/12.769551

KEYWORDS: Breast, Computed tomography, Tumors, Image registration, X-ray computed tomography, Mammography, Breast cancer, 3D image processing, Visualization, Tissues

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Proceedings Article | 16 March 2006 Paper

Boundary detection in 3D ultrasound reconstruction using nearest neighbor map

P. Pedersen, V. Mitra, J. Dey

Proceedings Volume 6147, 614707 (2006) https://doi.org/10.1117/12.651130

KEYWORDS: Image processing, Ultrasonography, Image filtering, Detection and tracking algorithms, Digital filtering, Electronic filtering, 3D modeling, Wavelets, Algorithm development, Image segmentation

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Proceedings Article | 15 March 2006 Paper

Prior-shape-based segmentation of various objects in ultrasound images after speckle-reduction using level-set-based curvature evolution

Joyoni Dey, Dennis Tighe, Gopal Vijayaraghavan, Vikramjit Mitra, Peder Pedersen

Proceedings Volume 6144, 61444P (2006) https://doi.org/10.1117/12.655037

KEYWORDS: Speckle, Image segmentation, Ultrasonography, Image processing algorithms and systems, Heart, Medical imaging, Acoustics, Computer aided diagnosis and therapy, Diffusion, Detection and tracking algorithms

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Proceedings Article | 10 March 2006 Paper

Knowledge-based segmentation of the heart from respiratory-gated CT datasets acquired without cardiac contrast-enhancement

Joyoni Dey, Tin-Su Pan, David Choi, Mark Smyczynski, Hendrik Pretorius, Michael King

Proceedings Volume 6144, 614409 (2006) https://doi.org/10.1117/12.655742

KEYWORDS: Heart, Image segmentation, Distance measurement, Single photon emission computed tomography, Algorithm development, Motion estimation, Imaging systems, Lung, Image quality, X-ray computed tomography

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Showing 5 of 15 publications

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