Prof. Eric L. Miller Profile

Prof. Eric L. Miller

Assistant Professor at Tufts Univ

SPIE Involvement:

Author | Instructor

Publications (51)

SPIE Journal Paper | 22 December 2023 Open Access

Restoration of metabolic functional metrics from label-free, two-photon human tissue images using multiscale deep-learning-based denoising algorithms

Nilay Vora, Christopher M. Polleys, Filippos Sakellariou, Georgios Georgalis, Hong-Thao Thieu, Elizabeth Genega, Narges Jahanseir, Abani Patra, Eric Miller, Irene Georgakoudi

JBO, Vol. 28, Issue 12, 126006, (December 2023) https://doi.org/10.1117/12.10.1117/1.JBO.28.12.126006

KEYWORDS: Education and training, Data modeling, Denoising, Tissues, Image quality, Wavelets, Nicotinamide adenine dinucleotide, Mitochondria, Image quality standards, Biopsy

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Proceedings Article | 12 April 2021 Presentation

A novel reconstruction technique for two-dimensional Bragg scatter imaging

James Webber, Eric Miller

Proceedings Volume 11738, 1173809 (2021) https://doi.org/10.1117/12.2589013

KEYWORDS: Tomography, Scattering, Radon transform, Monte Carlo methods, Error analysis, Signal attenuation, Detection and tracking algorithms, Computer simulations, Compton scattering

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Proceedings Article | 1 May 2017 Presentation + Paper

Sparse view Compton scatter tomography with energy resolved data: experimental and simulation results

Abdulla Desmal, Brian Tracey, Hamideh Rezaee, Eric Miller, Jeffrey Schubert, Jeff Denker, Aaron Couture

Proceedings Volume 10187, 1018707 (2017) https://doi.org/10.1117/12.2266688

KEYWORDS: Tomography, Sensors, Photons, Calibration, Scatter measurement, Data modeling, Signal attenuation, Compton scattering, Scattering, X-rays, Reconstruction algorithms, Computing systems

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Proceedings Article | 12 May 2016 Paper

Robust x-ray based material identification using multi-energy sinogram decomposition

Yaoshen Yuan, Brian Tracey, Eric Miller

Proceedings Volume 9847, 98470V (2016) https://doi.org/10.1117/12.2222584

KEYWORDS: Signal attenuation, X-ray computed tomography, Sensors, Imaging systems, Metals, Photodetectors, X-rays, Photon counting, Aluminum, Actinium

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Proceedings Article | 5 March 2015 Paper

3D parameter reconstruction in hyperspectral diffuse optical tomography

Arvind Saibaba, Nishanth Krishnamurthy, Pamela Anderson, Jana Kainerstorfer, Angelo Sassaroli, Eric Miller, Sergio Fantini, Misha Kilmer

Proceedings Volume 9319, 93191B (2015) https://doi.org/10.1117/12.2079775

KEYWORDS: Chromophores, Sensors, Data modeling, Optical tomography, Inverse problems, Systems modeling, Image restoration, 3D modeling, Absorption, Mathematical modeling

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Proceedings Article | 23 May 2013 Paper

Geometic image formation for target identification in multi-energy computed tomography

Brian Tracey, Eric Miller

Proceedings Volume 8746, 87460T (2013) https://doi.org/10.1117/12.2020668

KEYWORDS: X-ray computed tomography, Image acquisition, Computed tomography, X-rays, Data modeling, Computing systems, Absorption, Image processing, Chemical elements, Image restoration

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Proceedings Article | 18 May 2012 Paper

Combined use of backscattered and transmitted images in x-ray personnel screening systems

B. Tracey, Markus Schiefele, Christopher Alvino, Eric Miller, Omar Al-Kofani

Proceedings Volume 8392, 839219 (2012) https://doi.org/10.1117/12.917114

KEYWORDS: Lung, Image segmentation, X-rays, Image processing, X-ray imaging, Brain-machine interfaces, Image fusion, Backscatter, Feature extraction, Image classification

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Proceedings Article | 1 April 2011 Paper

Investigation of born approximation applied to non-destructive evaluation of concrete media

Abhijit Ganguli, Carey Rappaport, Eric Miller, Sara Wadia-Fascetti

Proceedings Volume 7984, 79842C (2011) https://doi.org/10.1117/12.880538

KEYWORDS: Finite-difference time-domain method, Scattering, Data modeling, Civil engineering, Fourier transforms, Nondestructive evaluation, Wave propagation, Receivers, Correlation function, Systems modeling

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Proceedings Article | 8 February 2011 Paper

A hybrid approach to imaging and anomaly characterization from dual energy CT data

Eric Miller, Oguz Semerci

Proceedings Volume 7873, 78730O (2011) https://doi.org/10.1117/12.888080

KEYWORDS: Dual energy imaging, Absorption, X-rays, Reconstruction algorithms, X-ray computed tomography, Signal attenuation, Computed tomography, Niobium, Signal to noise ratio, Image restoration

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Proceedings Article | 1 March 2007 Paper

Reconstruction of tissue dynamics in the compressed breast using multiplexed measurements and temporal basis functions

Gregory Boverman, Eric Miller, Dana Brooks, Qianqian Fang, S. Carp, J. Selb, David Boas

Proceedings Volume 6434, 643413 (2007) https://doi.org/10.1117/12.708306

KEYWORDS: Breast, Absorption, Tissues, Tissue optics, Oxygen, Image restoration, Hemodynamics, Imaging systems, Blood, Multiplexing

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Proceedings Article | 28 February 2007 Paper

Analysis of reconstructions in full view fluorescence molecular tomography

Damon Hyde, Antoine Soubret, Joshua Dunham, Tobias Lasser, Eric Miller, Dana Brooks, Vasilis Ntziachristos

Proceedings Volume 6498, 649803 (2007) https://doi.org/10.1117/12.713900

KEYWORDS: Luminescence, Reconstruction algorithms, Tomography, Sensors, Fluorescence tomography, Diffusion, In vivo imaging, Imaging systems, Data modeling, Tissue optics

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Proceedings Article | 11 March 2005 Paper

Recursive estimation methods for tracking of localized perturbations in absorption using diffuse optical tomography

Amine Hamdi, Eric Miller, David Boas, Maria Franceschini, Misha Kilmer

Proceedings Volume 5674, (2005) https://doi.org/10.1117/12.587837

KEYWORDS: Brain, Absorption, Sensors, Optical properties, Filtering (signal processing), Diffuse optical tomography, Detection and tracking algorithms, Data modeling, Diffusion, Optical tracking

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Proceedings Article | 11 March 2005 Paper

New inverse method for simultaneous reconstruction of object buried beneath rough ground and the ground surface structure using SAMM forward model

Reza Firoozabadi, Eric Miller, Carey Rappaport, Ann Morgenthaler

Proceedings Volume 5674, (2005) https://doi.org/10.1117/12.587935

KEYWORDS: Interfaces, Tellurium, Receivers, Scattering, Human-machine interfaces, Dielectrics, Mie scattering, Reconstruction algorithms, Matrices, Optimization (mathematics)

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Proceedings Article | 26 October 2004 Paper

Cortical constraint method for diffuse optical brain imaging

Misha Kilmer, Eric Miller, Marco Enriquez, David Boas

Proceedings Volume 5559, (2004) https://doi.org/10.1117/12.559745

KEYWORDS: Absorption, Diffusion, Brain, 3D image reconstruction, 3D modeling, Scattering, Reconstruction algorithms, 3D image processing, Data modeling, Brain imaging

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Proceedings Article | 21 May 2004 Paper

Subspace-based analysis of the ERT inverse problem

Mohamed Khames Ben Hadj Miled, Eric Miller

Proceedings Volume 5299, (2004) https://doi.org/10.1117/12.523385

KEYWORDS: Inverse problems, Computer simulations, Reconstruction algorithms, Resistance, Data modeling, Signal to noise ratio, Electrodes, Tomography, Receivers, Sensing systems

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Proceedings Article | 21 May 2004 Paper

A new flexible parameterization for the estimation of 3D shape structure from scattered field data

Ashley Tarokh, Eric Miller, David Boas

Proceedings Volume 5299, (2004) https://doi.org/10.1117/12.522928

KEYWORDS: Reconstruction algorithms, Detection and tracking algorithms, Absorption, 3D modeling, Scattering, Diffuse optical tomography, Optimization (mathematics), 3D image processing, Sensing systems, Tumors

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Proceedings Article | 21 May 2004 Paper

Linear and nonlinear reconstruction for diffuse optical tomography in an inhomogeneous background

Gregory Boverman, Eric Miller, David Boas

Proceedings Volume 5299, (2004) https://doi.org/10.1117/12.522927

KEYWORDS: Optical properties, Inverse problems, Nonlinear optics, Absorption, Scattering, Diffuse optical tomography, Tumors, Tissue optics, Sensors, Photons

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Proceedings Article | 21 May 2004 Paper

Computational algorithm for reconstructing the profile of 2D rough surfaces

Magda El-Shenawee, Eric Miller

Proceedings Volume 5299, (2004) https://doi.org/10.1117/12.529306

KEYWORDS: Reconstruction algorithms, Receivers, Algorithm development, Dielectrics, Detection and tracking algorithms, General packet radio service, Electromagnetic radiation, Optimization (mathematics), Dielectric polarization, Radar signal processing

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Proceedings Article | 21 May 2004 Paper

On imaging multiple physical parameters in an inverse problems context

Eric Miller, Andreas Mandelis

Proceedings Volume 5299, (2004) https://doi.org/10.1117/12.523381

KEYWORDS: Inverse problems, Data modeling, Sensors, Nondestructive evaluation, Ultrasonography, Receivers, Diffusion, Physics, Error analysis, Imaging systems

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Proceedings Article | 11 September 2003 Paper

Scattering from dielectric targets buried beneath 2D randomly rough surfaces

Magda El-Shenawee, Carey Rappaport, Eric Miller

Proceedings Volume 5089, (2003) https://doi.org/10.1117/12.486752

KEYWORDS: Scattering, Dielectrics, Polarimetry, 3D acquisition, Monte Carlo methods, Land mines, Dielectric polarization, Target detection, Free space, Electrical engineering

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Proceedings Article | 11 September 2003 Paper

Covariance matrix for radar imaging of targets buried beneath two-dimensional rough surfaces

Magda El-Shenawee, Eric Miller

Proceedings Volume 5089, (2003) https://doi.org/10.1117/12.488497

KEYWORDS: Radar, Target detection, Scattering, Radar imaging, Backscatter, Electromagnetic scattering, Dielectrics, Polarimetry, 3D acquisition, Electromagnetic radiation

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Proceedings Article | 1 July 2003 Paper

Use of secondary equivalent sources for solving electrical resistance inverse problems

Mohamed K. Ben Hadj Miled, Eric Miller

Proceedings Volume 5016, (2003) https://doi.org/10.1117/12.488618

KEYWORDS: Inverse problems, Signal to noise ratio, Receivers, Resistance, Iterative methods, Reconstruction algorithms, Sensing systems, Tomography, Inverse scattering, Reliability

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In this paper, we propose a "source-type" solution to the problem of electrical resistance tomography (ERT). The goal of ERT is to develop a map of the electrical properties in a region of space based on observations of voltages collected at the boundary in response to input DC currents also at the boundary. As with many inverse problems, ERT is both nonlinear and poorly posed. Source-type inverse methods have been proposed in the inverse scattering context as a way of quasi-linearizing the problem. Specifically, inhomogeneities in the medium are viewed as secondary sources embedded in a homogeneous medium. One can solve a linear inverse source problem to localize these sources (i.e. determine their geometry); however resolving their spatial contrasts quantitatively is not possible under this method. In a sense, the nonlinearity of the original problem is buried in the amplitude. Our work here is motivated by thefact that use of a source-type formulation has not been considered for ERT to the best of our knowledge. We shall show that the secondary sources for ERT are defined by the inner product of the gradients of true conductivity and electrical potential. Using this equivalence, the inverse problem is easily transformed into a multi-source inversion. Given the ill-posedness of the ERT problem arising from the inherent low sensitivity of the observed data to changes in the internal conductivity of the medium, the proposed transformation provides a better description of the effect of inhomogeneities and therefore leads to more efficient inversion techniques. We introduce and discuss one step as well as iterative methods, especially for piecewise constant media. In the iterative method, we make use of a level set formulation and we replace the update of the steepest descent approach by the correlation coefficient between the residual vector and the response of a specified source. Using the same measure, i.e. the correlation coefficient, we introduce a simple single step imaging method. Results of both methods using simulated data are presented.

Proceedings Article | 13 August 2002 Paper

Hypothesis testing detection of mines buried under rough ground surfaces using 2D FDTD modeling

He Zhan, Carey Rappaport, Magda El-Shenawee, Eric Miller

Proceedings Volume 4742, (2002) https://doi.org/10.1117/12.479073

KEYWORDS: Finite-difference time-domain method, Signal processing, Target detection, Land mines, General packet radio service, Dielectrics, Reflection, Surface roughness, Receivers, Monte Carlo methods

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In ground penetrating radar (GPR) antipersonnel mine sensing, in which the target is small, shallow and often of low dielectric contrast, detection is challenging. One of the difficulties is that it is hard to distinguish the target signal from the omnipresent random rough ground reflection clutter. In this work, a Monte Carlo computational simulation using 2-dimensional (2-D) transverse magnetic (TM) finite difference time domain (FDTD) with multiple rough surfaces is implemented to investigate single TNT target buries in dispersive soil. Based on the effects of the random rough surface on an impulse GPR signal and the knowledge of wave propagation differences in different media - air, soil, and TNT - a special background average process using physics based signal processing (PBSP) is performed to remove the ground clutter signal. This procedure first involves shifting and scaling multiple time signals from target-free random rough ground to establish the nominal (average) ground reflection pulse shape. Next, this nominal pulse shape is correlated in time with each trial signal, then shifted and scaled to match the ground surface clutter of that trial signal. Subtracting this shifted scaled clutter signal from the trial signal ideally leaves the target signal (with some additional multiple scattering between the target and ground surface). The PBSP algorithm reapplied in cases for which surface scattering occurs at multiple points. The statistical results of PBSP surface clutter removal indicate that the detection performance degrades with increasing surface roughness and decreasing burial depth. Hypothesis testing on the processed results proved to be successful in a detection and estimation point of view. This paper presents the detection performances in terms of Receiver Operating Characteristics (ROC) for various ground surface roughness and target burial depth cases. Also demonstrated is the performance improvements expected from multiple views: indicating that a multi-bistatic configuration appears to be superior to multistatic transmitter/receiver geometry with minimum combinations.

Proceedings Article | 13 August 2002 Paper

Model-based approach to the detection, classification, and characterization of subsurface targets from forward-looking ground penetrating radar data

Jie Cheng, Eric Miller

Proceedings Volume 4742, (2002) https://doi.org/10.1117/12.479102

KEYWORDS: Data modeling, Target detection, Model-based design, Motion models, Ground penetrating radar, Land mines, Sensors, Radar sensor technology, Radar, Scattering

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Proceedings Article | 22 October 2001 Paper

Target detection and classification using a deformable template

Roger Dufour, Eric Miller, Nikolas Galatsanos

Proceedings Volume 4379, (2001) https://doi.org/10.1117/12.445392

KEYWORDS: Library classification systems, Detection and tracking algorithms, Image restoration, Target detection, Phase only filters, Fourier transforms, Signal to noise ratio, Image processing, Statistical analysis, Gaussian filters

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Proceedings Article | 18 October 2001 Paper

Statistical method to localize buried landmines from GPR array measurement

Xiaoyin Xu, Eric Miller

Proceedings Volume 4394, (2001) https://doi.org/10.1117/12.445527

KEYWORDS: General packet radio service, Land mines, Signal processing, Wave propagation, Explosives, Reflectors, Transmitters, Receivers, Mining, Fourier transforms

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Proceedings Article | 18 October 2001 Paper

Options for statistical classification of buried objects from spatially sampled time or frequency domain EMI data

Eric Miller

Proceedings Volume 4394, (2001) https://doi.org/10.1117/12.445454

KEYWORDS: Data modeling, Sensors, Library classification systems, Electromagnetic coupling, Sensing systems, Aluminum, Signal to noise ratio, Monte Carlo methods, Scattering, Error analysis

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Proceedings Article | 22 August 2000 Paper

GPR imaging approaches for buried plastic land mine detection

Haihua Feng, David Castanon, William Karl, Eric Miller

Proceedings Volume 4038, (2000) https://doi.org/10.1117/12.396236

KEYWORDS: Mining, General packet radio service, Receivers, Land mines, Data modeling, Tomography, Algorithm development, Reconstruction algorithms, Interfaces, Information operations

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Proceedings Article | 22 August 2000 Paper

Validation study of three-dimensional ray-based GPR simulation code

Harold Raemer, Carey Rappaport, Eric Miller, Roberta Young

Proceedings Volume 4038, (2000) https://doi.org/10.1117/12.396198

KEYWORDS: Mining, Interfaces, Scattering, General packet radio service, Acquisition tracking and pointing, Process modeling, Surface roughness, Computer simulations, Radar, Transmitters

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Proceedings Article | 22 August 2000 Paper

Statistical clutter modeling and parameter estimation for the characterization of buried objects using frequency-domain electromagnetic induction sensing

Mustafa Oezdemir, Eric Miller, Alan Witten

Proceedings Volume 4038, (2000) https://doi.org/10.1117/12.396277

KEYWORDS: Data modeling, Statistical analysis, Mining, Sensors, Electromagnetism, Calibration, Information operations, Statistical modeling, Metals, Optical spheres

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Proceedings Article | 22 August 2000 Paper

Combined high-dimensional analysis of variance (HANOVA) and sequential probability ratio test (SPRT) to detect buried mines

Xiaoyin Xu, Eric Miller, Gary Sower

Proceedings Volume 4038, (2000) https://doi.org/10.1117/12.396189

KEYWORDS: General packet radio service, Mining, Signal detection, Data processing, Receivers, Signal processing, Interference (communication), Sensors, Statistical analysis, Mathematical modeling

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Proceedings Article | 17 August 2000 Paper

Geometric parameter estimation with a multiscale template library

Roger Dufour, Eric Miller, Nikolas Galatsanos

Proceedings Volume 4050, (2000) https://doi.org/10.1117/12.395585

KEYWORDS: Signal to noise ratio, Detection and tracking algorithms, Image restoration, Error analysis, Fourier transforms, Phase only filters, Statistical analysis, Information operations, Image processing, Chromium

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Proceedings Article | 6 July 2000 Paper

Multimode subsurface sensing and imaging for land mine detection

Carey Rappaport, Michael Silevitch, Stephen McKnight, Charles DiMarzio, Eric Miller, Harold Raemer

Proceedings Volume 4129, (2000) https://doi.org/10.1117/12.390607

KEYWORDS: Land mines, Mining, Sensors, Acoustics, Electromagnetism, Metals, Target detection, General packet radio service, Signal detection, Optical filters

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Proceedings Article | 15 October 1999 Paper

Surface roughness effects in simulation of mine signals using a focused-array GPR system

Harold Raemer, Carey Rappaport, Eric Miller

Proceedings Volume 3752, (1999) https://doi.org/10.1117/12.365715

KEYWORDS: Mining, Wave propagation, Scattering, Receivers, Near field, Interfaces, Surface roughness, Reflection, Transmitters, Radar

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Proceedings Article | 15 October 1999 Paper

Physics-based modeling and inverse scattering for detection of buried mine-shaped anomalies

Carey Rappaport, Eric Miller

Proceedings Volume 3752, (1999) https://doi.org/10.1117/12.365708

KEYWORDS: Scattering, Inverse scattering, Mining, Target detection, Dielectrics, Land mines, General packet radio service, Algorithm development, Detection and tracking algorithms, Magnetism

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