Dr. Michael A. King Profile

Dr. Michael A. King

Professor at Univ of Massachusetts Chan Medical School

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Author

Publications (35)

Proceedings Article | 2 April 2024 Poster + Paper

Edge-preserving, CNN-based, denoising in low dose SPECT myocardial perfusion imaging

Mehdi Toumi, Yongyi Yang, P. Hendrik Pretorius, Michael King, Jovan Brankov

Proceedings Volume 12926, 129262Y (2024) https://doi.org/10.1117/12.3006904

KEYWORDS: Denoising, Education and training, 3D modeling, Single photon emission computed tomography, 3D image processing, Perfusion imaging, Network architectures, 3D acquisition, Mathematical optimization, Image processing

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Proceedings Article | 4 April 2022 Poster + Paper

A read-out strategy for high-resolution large-area SiPM-based modular gamma-ray cameras

Maria Ruiz-Gonzalez, Robert Richards, Kimberly Doty, Phillip Kuo, Matthew Kupinski, Lars Furenlid, Michael King

Proceedings Volume 12031, 120314K (2022) https://doi.org/10.1117/12.2610069

KEYWORDS: Cameras, Signal processing, Field programmable gate arrays, Electronics, Clocks, Gamma radiation, Modulators, Scintillation, Spatial resolution, Sensors

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Proceedings Article | 4 April 2022 Poster + Paper

Fisher information comparison between a monolithic and a fiber-optic light guide in a modular gamma camera

Kimberly Doty, Matthew Kupinski, R. Garrett Richards, Maria Ruiz-Gonzalez, Michael King, Phillip Kuo, Lars Furenlid

Proceedings Volume 12031, 120313E (2022) https://doi.org/10.1117/12.2611834

KEYWORDS: Refraction, Photon transport, Crystals, Single photon emission computed tomography, Fiber optics, Sensors, Spatial resolution, Cameras, Scintillation

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Proceedings Article | 28 May 2019 Paper

Investigation of a Monte Carlo simulation and an analytic-based approach for modeling the system response for clinical I-123 brain SPECT imaging

Benjamin Auer, Navid Zeraatkar , Jan De Beenhouwer, Kesava Kalluri, Philip Kuo, Lars Furenlid, Michael King

Proceedings Volume 11072, 1107214 (2019) https://doi.org/10.1117/12.2534881

KEYWORDS: Imaging systems, Monte Carlo methods, Systems modeling, Brain, Neuroimaging, Single photon emission computed tomography, Performance modeling, Image quality, Brain imaging

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Proceedings Article | 28 May 2019 Paper

GPU-accelerated generic analytic simulation and image reconstruction platform for multi-pinhole SPECT systems

Navid Zeraatkar, Benjamin Auer, Kesava Kalluri, Lars Furenlid, Philip Kuo, Michael King

Proceedings Volume 11072, 1107216 (2019) https://doi.org/10.1117/12.2534523

KEYWORDS: Monte Carlo methods, Systems modeling, Single photon emission computed tomography, Reconstruction algorithms, Data acquisition, Data modeling, Computer simulations

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Proceedings Article | 28 May 2019 Paper

Preliminary investigation of AdaptiSPECT-C designs with square or square and hexagonal detectors employing direct and oblique apertures

Kesava Kalluri, Navid Zeraatkar, Benjamin Auer, Philip Kuo, Lars Furenlid, Michael King

Proceedings Volume 11072, 1107215 (2019) https://doi.org/10.1117/12.2534885

KEYWORDS: Brain, Image quality, Neuroimaging, Single photon emission computed tomography, Computer aided design, 3D modeling, Multiplexing, 3D acquisition

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Proceedings Article | 5 March 2019 Presentation

Biomedical applications of terahertz technologies (Conference Presentation)

Cecil Joseph, Clifford Lindsay, Michael King, Robert Giles

Proceedings Volume 10917, 109171G (2019) https://doi.org/10.1117/12.2513610

KEYWORDS: Scattering, Calibration, Backscatter, Radar, Transceivers

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Proceedings Article | 1 March 2019 Paper

Investigation of the transmission measurements of different clothing types at sub-terahertz for reflection imaging

Clifford Lindsay, Cecil Joseph, Michael King, Robert Giles

Proceedings Volume 10917, 109172C (2019) https://doi.org/10.1117/12.2513616

KEYWORDS: Signal attenuation, Imaging systems, Image sensors, Imaging arrays, Sensors, Cameras, Diodes, Image transmission, Point spread functions, Reflection

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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 | 7 March 2018 Presentation + Paper

A practical method to evaluate personalized injected patient dose for cardiac perfusion SPECT imaging: the polar map as a numerical observer

P. Hendrik Pretorius, Michael King, Karen Johnson

Proceedings Volume 10577, 105770O (2018) https://doi.org/10.1117/12.2293658

KEYWORDS: Heart, Single photon emission computed tomography, Cardiac imaging

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Proceedings Article | 25 March 2015 Paper

Marker-less multi-frame motion tracking and compensation in PET-brain imaging

C. Lindsay, J. Mukherjee, K. Johnson, P. Olivier, X. Song, L. Shao, M. King

Proceedings Volume 9417, 94170J (2015) https://doi.org/10.1117/12.2082080

KEYWORDS: Positron emission tomography, Cameras, Head, Motion estimation, Imaging systems, Brain, Image quality, Motion detection, Stereoscopic cameras, 3D image processing

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Proceedings Article | 19 March 2014 Paper

Estimation of sparse null space functions for compressed sensing in SPECT

Joyeeta Mitra Mukherjee, Emil Sidky, Michael King

Proceedings Volume 9033, 90330X (2014) https://doi.org/10.1117/12.2043611

KEYWORDS: Sensors, Compressed sensing, Imaging systems, Collimators, Optical resolution, Single photon emission computed tomography, Image resolution, Wavelets, Optical imaging, Brain imaging

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Proceedings Article | 12 March 2014 Paper

Separating complex compound patient motion tracking data using independent component analysis

C. Lindsay, K. Johnson, M. King

Proceedings Volume 9036, 90360L (2014) https://doi.org/10.1117/12.2043980

KEYWORDS: Independent component analysis, Single photon emission computed tomography, Argon, Signal processing, Motion models, Interference (communication), Image quality, Machine learning, Medical imaging, Chest

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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 | 15 March 2013 Paper

Automatic generation of digital anthropomorphic phantoms from simulated MRI acquisitions

C. Lindsay, M. Gennert, A. Kӧnik, P. Dasari, M. King

Proceedings Volume 8671, 867122 (2013) https://doi.org/10.1117/12.2007082

KEYWORDS: Magnetic resonance imaging, Image registration, Tissues, Image segmentation, Heart, Natural surfaces, Image quality, Algorithm development, Motion models, Single photon emission computed tomography

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Proceedings Article | 14 April 2012 Paper

Interactive generation of digital anthropomorphic phantoms from XCAT shape priors

C. Lindsay, M. Gennert, C. Connolly, A. Konik, P. Dasari, W. Segars, M. King

Proceedings Volume 8317, 83170M (2012) https://doi.org/10.1117/12.911275

KEYWORDS: Magnetic resonance imaging, Image segmentation, Motion models, Data modeling, Single photon emission computed tomography, Image registration, Heart, 3D modeling, Affine motion model, Algorithm development

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Proceedings Article | 29 February 2012 Paper

Combined collimator/reconstruction optimization for myocardial perfusion SPECT imaging using polar map-based LROC numerical observer

Souleymane Konate, P. Hendrik Pretorius, Howard Gifford, J. Michael O'Connor, Arda Konik, Mohammed Salman Shazeeb, Michael King

Proceedings Volume 8318, 83181L (2012) https://doi.org/10.1117/12.911479

KEYWORDS: Collimators, Single photon emission computed tomography, Computer aided design, Spatial resolution, Optimization (mathematics), Gaussian filters, 3D image reconstruction, Defect detection, Solid modeling, Signal attenuation

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Polar maps have been used to assist clinicians diagnose coronary artery diseases (CAD) in single photon emission computed tomography (SPECT) myocardial perfusion imaging. Herein, we investigate the optimization of collimator design for perfusion defect detection in SPECT imaging when reconstruction includes modeling of the collimator. The optimization employs an LROC clinical model observer (CMO), which emulates the clinical task of polar map detection of CAD. By utilizing a CMO, which better mimics the clinical perfusion-defect detection task than previous SKE based observers, our objective is to optimize collimator design for SPECT myocardial perfusion imaging when reconstruction includes compensation for collimator spatial resolution. Comparison of lesion detection accuracy will then be employed to determine if a lower spatial resolution hence higher sensitivity collimator design than currently recommended could be utilized to reduce the radiation dose to the patient, imaging time, or a combination of both. As the first step in this investigation, we report herein on the optimization of the three-dimensional (3D) post-reconstruction Gaussian filtering of and the number of iterations used to reconstruct the SPECT slices of projections acquired by a low-energy generalpurpose (LEGP) collimator. The optimization was in terms of detection accuracy as determined by our CMO and four human observers. Both the human and all four CMO variants agreed that the optimal post-filtering was with sigma of the Gaussian in the range of 0.75 to 1.0 pixels. In terms of number of iterations, the human observers showed a preference for 5 iterations; however, only one of the variants of the CMO agreed with this selection. The others showed a preference for 15 iterations. We shall thus proceed to optimize the reconstruction parameters for even higher sensitivity collimators using this CMO, and then do the final comparison between collimators using their individually optimized parameters with human observers and three times the test images to reduce the statistical variation seen in our present results.

Proceedings Article | 10 March 2011 Paper

A comparison of cost functions for data-driven motion estimation in myocardial perfusion SPECT imaging

Joyeeta Mitra Mukherjee, P. Pretorius, K. Johnson, Brian Hutton, Michael King

Proceedings Volume 7962, 796209 (2011) https://doi.org/10.1117/12.878393

KEYWORDS: Motion estimation, 3D modeling, Heart, Motion models, Single photon emission computed tomography, Monte Carlo methods, Signal attenuation, Image quality, Error analysis, Motion measurement

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In myocardial perfusion SPECT imaging patient motion during acquisition causes severe artifacts in about 5% of studies. Motion estimation strategies commonly used are a) data-driven, where the motion may be determined by registration and checking consistency with the SPECT acquisition data, and b) external surrogate-based, where the motion is obtained from a dedicated motion-tracking system. In this paper a data-driven strategy similar to a 2D-3D registration scheme with multiple views is investigated, using a partially reconstructed heart for the 3D model. The partially-reconstructed heart has inaccuracies due to limited angle artifacts resulting from using only a part of the SPECT projections acquired while the patient maintained the same pose. The goal of this paper is to compare the performance of different cost-functions in quantifying consistency with the SPECT projection data in a registration-based scheme for motion estimation as the image-quality of the 3D model degrades. Six intensity-based metrics- Mean-squared difference (MSD), Mutual information (MI), Normalized Mutual information NMI), Pattern intensity (PI), normalized cross-correlation (NCC) and Entropy of the difference (EDI) were studied. Quantitative and qualitative analysis of the performance is reported using Monte-Carlo simulations of a realistic heart phantom including degradation factors such as attenuation, scatter and collimator blurring. Further the image quality of motion-corrected images using data-driven motion estimates was compared to that obtained using the external motion-tracking system in acquisitions of anthropomorphic phantoms and patient studies in a real clinical setting. Pattern intensity and Normalized Mutual Information cost functions were observed to have the best performance in terms of lowest average position error and stability with degradation of image quality of the partial reconstruction in simulations and anthropomorphic phantom acquisitions. In patient studies, Normalized Mutual Information based data-driven estimates yielded comparable image quality to that obtained using external motion tracking.

Proceedings Article | 3 March 2011 Paper

Accounting for anatomical noise in SPECT with a visual-search human-model observer

H. Gifford, M. King, M. Smyczynski

Proceedings Volume 7966, 79660H (2011) https://doi.org/10.1117/12.878830

KEYWORDS: Tumors, Lung, Single photon emission computed tomography, Visualization, Data modeling, Medical imaging, Monte Carlo methods, Tomography, Signal attenuation, Reliability

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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 | 13 March 2009 Paper

Scanning model observers to predict human performance in LROC studies of SPECT reconstruction using anatomical priors

Andre Lehovich, Howard Gifford, Michael King

Proceedings Volume 7263, 72631T (2009) https://doi.org/10.1117/12.813774

KEYWORDS: Performance modeling, Single photon emission computed tomography, Reconstruction algorithms, Systems modeling, Imaging systems, Tumors, Optical filters, Mathematical modeling, Nuclear medicine, Signal attenuation

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Proceedings Article | 6 March 2008 Paper

Model observers to predict human performance in LROC studies of SPECT reconstruction using anatomical priors

Andre Lehovich, Howard Gifford, Michael King

Proceedings Volume 6917, 69170R (2008) https://doi.org/10.1117/12.770983

KEYWORDS: Performance modeling, Data modeling, Single photon emission computed tomography, Reconstruction algorithms, Smoothing, Monte Carlo methods, Tumors, Computer simulations, Electronic filtering, Statistical modeling

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Proceedings Article | 6 March 2008 Paper

Assessment of scanning model observers with hybrid SPECT images

H. Gifford, P. Pretorius, M. King

Proceedings Volume 6917, 69171C (2008) https://doi.org/10.1117/12.770994

KEYWORDS: Single photon emission computed tomography, Lung, Tumors, Performance modeling, Signal attenuation, Data modeling, Mathematical modeling, Boxcar filters, Physics, Image processing

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Proceedings Article | 23 October 2006 Paper

Feasibility of monitoring patient motion with opposed stereo infrared cameras during supine medical imaging

Richard Beach, Joseph McNamara, George Terlecki, Michael King

Proceedings Volume 6380, 63800T (2006) https://doi.org/10.1117/12.686369

KEYWORDS: Single photon emission computed tomography, Imaging systems, Head, Infrared radiation, Infrared cameras, Infrared imaging, Unattended ground sensors, Data acquisition, Stereoscopic cameras, Clocks

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Proceedings Article | 13 March 2006 Paper

Determining patient 6-degrees-of-freedom motion from stereo infrared cameras during supine medical imaging

Richard Beach, Bing Feng, Mohammed Shazeeb, Michael King

Proceedings Volume 6143, 614337 (2006) https://doi.org/10.1117/12.653775

KEYWORDS: Single photon emission computed tomography, Infrared cameras, Abdomen, Medical imaging, Imaging systems, Chest, Data acquisition, Infrared radiation, Heart, Diagnostics

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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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Proceedings Article | 22 May 2003 Paper

Comparison of human- and model-observer LROC studies

Howard Gifford, P. Pretorius, Michael King

Proceedings Volume 5034, (2003) https://doi.org/10.1117/12.480341

KEYWORDS: Data modeling, Performance modeling, Signal detection, Tumors, Mathematical modeling, Single photon emission computed tomography, 3D modeling, Monte Carlo methods, Image resolution, Device simulation

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Proceedings Article | 3 July 2001 Paper

Resolution recovery for list-mode reconstruction in SPECT

Luc Bouwens, Howard Gifford, Rik Van de Walle, Michael King, Ignace Lemahieu, Rudi Dierckx

Proceedings Volume 4322, (2001) https://doi.org/10.1117/12.431118

KEYWORDS: Neon, Picosecond phenomena, Ferroelectric materials, Single photon emission computed tomography, Collimators, Neodymium, Medical imaging, Image processing, Cerium, Information technology

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Proceedings Article | 26 June 2001 Paper

Case sampling in LROC: a Monte Carlo analysis

Howard Gifford, Michael King

Proceedings Volume 4324, (2001) https://doi.org/10.1117/12.431182

KEYWORDS: Monte Carlo methods, Data modeling, Statistical analysis, Lithium, Data acquisition, Diagnostics, Target detection, Medical imaging modalities, Receivers, Reconstruction algorithms

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Proceedings Article | 24 May 1999 Paper

LROC analysis of human detection performance in PET and time-of-flight PET

Howard Gifford, R. Wells, Michael King

Proceedings Volume 3663, (1999) https://doi.org/10.1117/12.349641

KEYWORDS: Positron emission tomography, Temporal resolution, Tumors, Sensors, Spatial resolution, Imaging systems, Photons, Signal to noise ratio, Signal attenuation, Stochastic processes

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Proceedings Article | 3 July 1998 Paper

Dynamic heart model for the mathematical cardiac torso (MCAT) phantom to represent the invariant total heart volume

P. Pretorius, Michael King, Benjamin Tsui, Karen LaCroix, Weishi Xia

Proceedings Volume 3337, (1998) https://doi.org/10.1117/12.312559

KEYWORDS: Heart, Signal attenuation, Motion models, Single photon emission computed tomography, Mathematical modeling, Blood, Imaging systems, 3D modeling, Monte Carlo methods, Sensors

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This manuscript documents the alteration of the heart model of the MCAT phantom to better represent cardiac motion. The objective of the inclusion of motion was to develop a digital simulation of the heart such that the impact of cardiac motion on single photon emission computed tomography (SPECT) imaging could be assessed and methods of quantitating cardiac function could be investigated. The motion of the dynamic MCAT's heart is modeled by a 128 time frame volume curve. Eight time frames are averaged together to obtain a gated perfusion acquisition of 16 time frames and ensure motion within every time frame. The position of the MCAT heart was changed during contraction to rotate back and forth around the long axis through the center of the left ventricle (LV) using the end systolic time frame as turning point. Simple respiratory motion was also introduced by changing the orientation of the heart model in a 2 dimensional (2D) plane with every time frame. The averaging effect of respiratory motion in a specific time frame was modeled by randomly selecting multiple heart locations between two extreme orientations. Non-gated perfusion phantoms were also generated by averaging over all time frames. Maximal chamber volumes were selected to fit a profile of a normal healthy person. These volumes were changed during contraction of the ventricles such that the increase in volume in the atria compensated for the decrease in volume in the ventricles. The myocardium were modeled to represent shortening of muscle fibers during contraction with the base of the ventricles moving towards a static apex. The apical region was modeled with moderate wall thinning present while myocardial mass was conserved. To test the applicability of the dynamic heart model, myocardial wall thickening was measured using maximum counts and full width half maximum measurements, and compared with published trends. An analytical 3D projector, with attenuation and detector response included, was used to generate radionuclide projection data sets. After reconstruction a linear relationship was obtained between maximum myocardial counts and myocardium thickness, similar to published results. A numeric difference in values from different locations exist due to different amounts of attenuation present. Similar results were obtained for FWHM measurements. Also, a hot apical region on the polar maps without attenuation compensation turns into an apical defect with attenuation compensation. The apical decrease was more prominent in ED than ES due to the change in the partial volume effect. Both of these agree with clinical trends. It is concluded that the dynamic MCAT (dMCAT) phantom can be used to study the influence of various physical parameters on radionuclide perfusion imaging.

Proceedings Article | 25 April 1997 Paper

Modeling the population covariance matrices of block-iterative expectation-maximization reconstructed images

Edward Soares, Charles Byrne, Tin-Su Pan, Stephen Glick, Michael King

Proceedings Volume 3034, (1997) https://doi.org/10.1117/12.274128

KEYWORDS: Expectation maximization algorithms, Signal to noise ratio, Matrices, Reconstruction algorithms, Image restoration, Signal attenuation, Statistical analysis, Algorithm development, Image filtering, Single photon emission computed tomography

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Proceedings Article | 16 April 1997 Paper

Comparison of the channelized Hotelling and human observers for lesion detection in hepatic SPECT imaging

Michael King, Daniel de Vries, Edward Soares

Proceedings Volume 3036, (1997) https://doi.org/10.1117/12.271290

KEYWORDS: Tumors, Signal to noise ratio, Single photon emission computed tomography, Photons, Monte Carlo methods, Liver, Statistical modeling, Medicine, Imaging systems, Image resolution

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Proceedings Article | 12 May 1995 Paper

Combination of Butterworth and variable conductance diffusion approach for filtered back-projection reconstructions

Der-Shan Luo, Michael King

Proceedings Volume 2434, (1995) https://doi.org/10.1117/12.208737

KEYWORDS: Image filtering, Linear filtering, Diffusion, Liver, Interference (communication), 3D image reconstruction, Smoothing, Single photon emission computed tomography, Tumors, Image resolution

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Proceedings Article | 11 May 1994 Paper

Reducing the computational load of iterative SPECT reconstruction methods by preprocessing the projection data to compensate for nonstationary resolution and attenuation

Stephen Glick, Bill Penney, Michael King, Charles Byrne

Proceedings Volume 2167, (1994) https://doi.org/10.1117/12.175057

KEYWORDS: Signal attenuation, Data modeling, Cameras, Sensors, Reconstruction algorithms, Optical filters, Fourier transforms, Single photon emission computed tomography, Electronic filtering, Image processing

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Showing 5 of 35 publications

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