Prof. Murray H. Loew Profile

Prof. Murray H. Loew

Professor at George Washington Univ

SPIE Involvement:

Conference Program Committee | Editorial Board Member: Journal of Medical Imaging | Author

Publications (75)

SPIE Journal Paper | 22 November 2023

Anonymization and validation of three-dimensional volumetric renderings of computed tomography data using commercially available T1-weighted magnetic resonance imaging-based algorithms

Rahil Patel, Destie Provenzano, Murray Loew

JMI, Vol. 10, Issue 06, 066501, (November 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.6.066501

KEYWORDS: Computed tomography, Detection and tracking algorithms, Facial recognition systems, Magnetic resonance imaging, 3D image processing, Head, Brain, Medical imaging, Databases, Control systems

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SPIE Journal Paper | 24 May 2023

Is it blur or is it texture? An analysis of computational blur and texture measures commonly used in medical image analysis

Andrew William Chen, Murray H. Loew

JMI, Vol. 10, Issue S1, S11920, (May 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.S1.S11920

KEYWORDS: Thulium, Data modeling, Mammography, Medical imaging, Image classification, Matrices, Histograms, Diamond, Imaging devices, Image processing

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Proceedings Article | 10 April 2023 Presentation + Paper

Anonymization and validation of 3-dimensional volumetric renderings of Computed Tomography (CT) data using commercially available T1W MRI-based algorithms

Rahil Patel, Destie Provenzano, Murray Loew

Proceedings Volume 12469, 124690A (2023) https://doi.org/10.1117/12.2654411

KEYWORDS: Computed tomography, Detection and tracking algorithms, Magnetic resonance imaging, Facial recognition systems, 3D image processing, Brain, Neuroimaging, Medical imaging

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SPIE Journal Paper | 18 February 2023

CaraNet: context axial reverse attention network for segmentation of small medical objects

Ange Lou, Shuyue Guan, Murray Loew

JMI, Vol. 10, Issue 01, 014005, (February 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.1.014005

KEYWORDS: Image segmentation, Polyps, Medical imaging, Tumors, Brain, Data modeling, Performance modeling, Convolution, Surgery, Neuroimaging

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SPIE Journal Paper | 24 August 2022 Open Access

Brief history of Image Processing at SPIE Medical Imaging

Murray Loew

JMI, Vol. 9, Issue S1, S12209, (August 2022) https://doi.org/10.1117/12.10.1117/1.JMI.9.S1.S12209

KEYWORDS: Medical imaging, Image processing, Imaging systems, Picture Archiving and Communication System, Image segmentation, Artificial intelligence, Medicine, Image analysis, Biomedical optics, Signal processing

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Proceedings Article | 4 April 2022 Presentation + Paper

CaraNet: context axial reverse attention network for segmentation of small medical objects

Ange Lou, Shuyue Guan, Hanseok Ko, Murray Loew

Proceedings Volume 12032, 120320D (2022) https://doi.org/10.1117/12.2611802

KEYWORDS: Image segmentation, Medical imaging, Tumors, Brain, Data modeling, Convolution, Surgery, Performance modeling, Neural networks, Machine vision

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Proceedings Article | 15 February 2021 Poster + Presentation + Paper

DC-UNet: rethinking the U-Net architecture with dual channel efficient CNN for medical image segmentation

Ange Lou, Shuyue Guan, Murray Loew

Proceedings Volume 11596, 115962T (2021) https://doi.org/10.1117/12.2582338

KEYWORDS: Medical imaging, Image segmentation, Performance modeling, Computer programming, Machine vision, Data modeling, Convolutional neural networks, Computer vision technology

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Proceedings Article | 12 July 2019 Presentation + Paper

Optical coherence tomography of 19th century glass: facts and phantoms

Lynn Brostoff, Carol Lynn Ward Bamford, Tara Diba, Andrew Buechele, Murray Loew, Jason Zara

Proceedings Volume 11058, 110580W (2019) https://doi.org/10.1117/12.2526170

KEYWORDS: Glasses, Optical coherence tomography, Reflection, Surface finishing, Scanning electron microscopy, Cultural heritage, Visualization, Silicate glass, Spectroscopy

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Proceedings Article | 25 March 2019 Paper

Using generative adversarial networks and transfer learning for breast cancer detection by convolutional neural networks

Shuyue Guan, Murray Loew

Proceedings Volume 10954, 109541C (2019) https://doi.org/10.1117/12.2512671

KEYWORDS: Gallium nitride, Medical imaging, Breast cancer, Mammography, Neural networks, RGB color model, Data modeling, Breast, Convolutional neural networks, Databases

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In the U.S., breast cancer is diagnosed in about 12% of women during their lifetime and it is the second leading reason for women’s death. Since early diagnosis could improve treatment outcomes and longer survival times for breast cancer patients, it is significant to develop breast cancer detection techniques. The Convolutional Neural Network (CNN) can extract features from images automatically and then perform classification. To train the CNN from scratch, however, requires a large number of labeled images, which is infeasible for some kinds of medical image data such as mammographic tumor images. In this paper, we proposed two solutions to the lack of training images. 1)To generate synthetic mammographic images for training by the Generative Adversarial Network (GAN). Adding GAN generated images made to train CNN from scratch successful and adding more GAN images improved CNN’s validation accuracy to at most (best) 98.85%. 2)To apply transfer learning in CNN. We used the pre-trained VGG-16 model to extract features from input mammograms and used these features to train a Neural Network (NN)-classifier. The stable average validation accuracy converged at about 91.48% for classifying abnormal vs. normal cases in the DDSM database. Then, we combined the two deep-learning based technologies together. That is to apply GAN for image augmentation and transfer learning in CNN for breast cancer detection. To the training set including real and GAN augmented images, although transfer learning model did not perform better than the CNN, the speed of training transfer learning model was about 10 times faster than CNN training. Adding GAN images can help training avoid over-fitting and image augmentation by GAN is necessary to train CNN classifiers from scratch. On the other hand, transfer learning is necessary to be applied for training on pure real images. To apply GAN to augment training images for training CNN classifier obtained the best classification performance.

SPIE Journal Paper | 23 March 2019

Breast cancer detection using synthetic mammograms from generative adversarial networks in convolutional neural networks

Shuyue Guan, Murray Loew

JMI, Vol. 6, Issue 03, 031411, (March 2019) https://doi.org/10.1117/12.10.1117/1.JMI.6.3.031411

KEYWORDS: Gallium nitride, Mammography, Medical imaging, Breast cancer, Neural networks, Convolutional neural networks, Tumors, Breast, Image processing, Digital imaging

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SPIE Journal Paper | 15 December 2018

Application of unsupervised learning to hyperspectral imaging of cardiac ablation lesions

Shuyue Guan, Huda Asfour, Narine Sarvazyan, Murray Loew

JMI, Vol. 5, Issue 04, 046003, (December 2018) https://doi.org/10.1117/12.10.1117/1.JMI.5.4.046003

KEYWORDS: Tissues, Machine learning, Hyperspectral imaging, Atrial fibrillation, Radiofrequency ablation, Visualization, Binary data, Surgery, Photons, Natural surfaces

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Proceedings Article | 6 July 2018 Paper

Breast cancer detection using synthetic mammograms from generative adversarial networks in convolutional neural networks

Shuyue Guan, Murray Loew

Proceedings Volume 10718, 107180X (2018) https://doi.org/10.1117/12.2318100

KEYWORDS: Realistic image synthesis, Mammography, Neural networks, Breast cancer, Medical imaging, Convolutional neural networks, Tumors, Digital mammography, Image processing

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Proceedings Article | 9 April 2018 Presentation + Paper

Comparing salience detection algorithms in mammograms

Kristina Landino, Murray Loew

Proceedings Volume 10577, 1057709 (2018) https://doi.org/10.1117/12.2293787

KEYWORDS: Mammography, Principal component analysis, Convolutional neural networks, Data modeling, Detection and tracking algorithms, Databases, Brain mapping, Breast, Tissues, Neurons

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Proceedings Article | 12 March 2018 Paper

Lesion detection for cardiac ablation from auto-fluorescence hyperspectral images

Shuyue Guan, Murray Loew, Huda Asfour, Narine Sarvazyan, Narine Muselimyan

Proceedings Volume 10578, 105781O (2018) https://doi.org/10.1117/12.2293652

KEYWORDS: Tissues, Radiofrequency ablation, Visualization, Hyperspectral imaging, Atrial fibrillation, Machine learning, Binary data, Image processing, Cameras, Ultraviolet radiation

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Proceedings Article | 19 June 2015 Paper

Evaluation of the variable depth resolution of active dynamic thermography on human skin

Nicholas Prindeze, Hilary Hoffman, Bonnie Carney, Lauren Moffatt, Murray Loew, Jeffrey Shupp

Proceedings Volume 9531, 95310P (2015) https://doi.org/10.1117/12.2180807

KEYWORDS: Skin, Thermography, Image resolution, Tissues, Surgery, Halogens, Lamps, Imaging systems, Optical resolution, Video

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Proceedings Article | 30 May 2013 Paper

Automatic registration and mosaicking of conservation images

Damon Conover, John Delaney, Murray Loew

Proceedings Volume 8790, 87900A (2013) https://doi.org/10.1117/12.2021318

KEYWORDS: Image registration, X-rays, X-ray imaging, Infrared imaging, Infrared radiation, Distortion, Cameras, Algorithm development, Hyperspectral imaging, Visible radiation

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Proceedings Article | 18 May 2013 Paper

Accurate accommodation of scan-mirror distortion in the registration of hyperspectral image cubes

Damon Conover, John Delaney, Murray Loew

Proceedings Volume 8743, 87431S (2013) https://doi.org/10.1117/12.2016567

KEYWORDS: Distortion, Hyperspectral imaging, Cameras, Image registration, Short wave infrared radiation, Cultural heritage, Image filtering, Mirrors, Remote sensing, Imaging systems

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Proceedings Article | 14 February 2012 Paper

Automatic control-point selection for image registration using disparity fitting

Damon Conover, John Delaney, Paola Ricciardi, Murray Loew

Proceedings Volume 8314, 831425 (2012) https://doi.org/10.1117/12.912471

KEYWORDS: Image registration, Infrared imaging, Infrared radiation, Image filtering, X-ray imaging, X-rays, Medical imaging, Multispectral imaging, Wavelet transforms, Image processing

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Proceedings Article | 9 March 2011 Paper

Toward understanding the complex mechanisms behind breast thermography: an overview for comprehensive numerical study

Li Jiang, Wang Zhan, Murray Loew

Proceedings Volume 7965, 79650H (2011) https://doi.org/10.1117/12.877839

KEYWORDS: Tumors, Breast, Thermal modeling, Thermography, Tissues, Inverse problems, Blood, Natural surfaces, Signal to noise ratio, Breast cancer

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Proceedings Article | 8 March 2011 Paper

Towards automatic registration of technical images of works of art

Damon Conover, John Delaney, Paola Ricciardi, Murray Loew

Proceedings Volume 7869, 78690C (2011) https://doi.org/10.1117/12.872634

KEYWORDS: Image registration, Infrared imaging, Infrared radiation, X-rays, X-ray imaging, Image filtering, Multispectral imaging, Luminescence, Image processing, Wavelet transforms

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Proceedings Article | 9 March 2010 Paper

A numerical study of the inverse problem of breast infrared thermography modeling

Li Jiang, Wang Zhan, Murray Loew

Proceedings Volume 7626, 76260O (2010) https://doi.org/10.1117/12.844695

KEYWORDS: Breast, Tumors, Inverse problems, Thermography, Thermal modeling, Signal to noise ratio, Tissues, Finite element methods, Natural surfaces, Blood

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Proceedings Article | 9 March 2010 Paper

Topologic analysis and comparison of brain activation in children with epilepsy versus controls: an fMRI study

Khalid Oweis, Madison Berl, William Gaillard, Elizabeth Duke, Kaitlin Blackstone, Murray Loew, Jason Zara

Proceedings Volume 7626, 76261W (2010) https://doi.org/10.1117/12.843927

KEYWORDS: Epilepsy, Brain, Control systems, Functional magnetic resonance imaging, Feature extraction, Statistical analysis, Principal component analysis, Magnetic resonance imaging, Brain activation, Algorithm development

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SPIE Journal Paper | 1 July 2009 Open Access

Wavelet analysis enables system-independent texture analysis of optical coherence tomography images

Colleen Lingley-Papadopoulos, Murray Loew, Jason Zara

JBO, Vol. 14, Issue 04, 044010, (July 2009) https://doi.org/10.1117/12.10.1117/1.3171943

KEYWORDS: Optical coherence tomography, Algorithm development, Wavelets, Imaging systems, Tissues, Biological research, Image analysis, Detection and tracking algorithms, Cancer, Image resolution

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Proceedings Article | 6 March 2009 Paper

Dynamic characterization for tumor- and deformation-induced thermal contrasts on breast surface: a simulation study

Li Jiang, Wang Zhan, Murray Loew

Proceedings Volume 7262, 72621C (2009) https://doi.org/10.1117/12.812499

KEYWORDS: Breast, Tumors, Thermography, Tissues, Thermal modeling, Breast cancer, Blood, Finite element methods, Modulation, Temperature metrology

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Proceedings Article | 12 March 2008 Paper

Combined thermal and elastic modeling of the normal and tumorous breast

Li Jiang, Wang Zhan, Murray Loew

Proceedings Volume 6916, 69161E (2008) https://doi.org/10.1117/12.772451

KEYWORDS: Breast, Tumors, Tissues, Thermal modeling, Finite element methods, Blood, Breast cancer, Skin, Thermography, 3D modeling

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SPIE Journal Paper | 1 March 2008 Open Access

Computer recognition of cancer in the urinary bladder using optical coherence tomography and texture analysis

Colleen Lingley-Papadopoulos, Murray Loew, Michael Manyak, Jason Zara

JBO, Vol. 13, Issue 02, 024003, (March 2008) https://doi.org/10.1117/12.10.1117/1.2904987

KEYWORDS: Optical coherence tomography, Bladder, Tissues, Bladder cancer, Inflammation, Cancer, Tumors, Detection and tracking algorithms, Image analysis, Biopsy

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Proceedings Article | 21 September 2007 Paper

Deconvolution of gamma-spectra variably affected by space radiation using an evolutionary algorithm

Timothy McClanahan, Murray Loew, Jacob Trombka, Larry Evans

Proceedings Volume 6706, 67060I (2007) https://doi.org/10.1117/12.738357

KEYWORDS: Sensors, Radiation effects, Mars, Affine motion model, Spectroscopy, Annealing, Data modeling, Deconvolution, Evolutionary algorithms, Spectrum analysis

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Proceedings Article | 20 March 2007 Paper

Validation of closed-form compression noise statistics using model observers

Dunling Li, Murray Loew

Proceedings Volume 6515, 65150X (2007) https://doi.org/10.1117/12.711142

KEYWORDS: Image compression, Signal detection, Quantization, Image quality, Image processing, Statistical modeling, Performance modeling, Medical imaging, Statistical analysis, Distortion

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Proceedings Article | 8 March 2007 Paper

Parsimonious model selection for tissue classification: a DTI study of zebrafish

Raisa Freidlin, Michal Komlosh, Murray Loew, Peter Basser

Proceedings Volume 6512, 65122T (2007) https://doi.org/10.1117/12.708312

KEYWORDS: Diffusion, Tissues, Data modeling, Diffusion tensor imaging, Diffusion weighted imaging, Received signal strength, 3D modeling, Signal to noise ratio, Image segmentation, Microscopy

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Proceedings Article | 10 March 2006 Paper

Analysis of parenchymal patterns using conspicuous spatial frequency features in mammograms applied to the BI-RADS density rating scheme

Philip Perconti, Murray Loew

Proceedings Volume 6144, 61440F (2006) https://doi.org/10.1117/12.654061

KEYWORDS: Breast, Mammography, Spatial frequencies, Databases, Tissues, Distance measurement, Breast cancer, Image processing, Image segmentation, Mahalanobis distance

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Proceedings Article | 29 April 2005 Paper

The use and benefit of stereology in choosing a CT scanning protocol for the lung

Zvi Markowitz, Murray Loew, Joseph Reinhardt

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.595657

KEYWORDS: Lung, Computed tomography, Collimation, Scanners, Solids, Data processing, Data acquisition, 3D image processing, Statistical analysis, Computer engineering

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Proceedings Article | 14 April 2005 Paper

Automated insulin granule segmentation from electron photomicrographs of rat pancreatic ß-cells

Timothy McClanahan, Susanne Straub, Geoffrey Sharp, Murray Loew

Proceedings Volume 5746, (2005) https://doi.org/10.1117/12.595637

KEYWORDS: Image processing, Image segmentation, Plasma, Photomicroscopy, Glucose, Algorithm development, Mahalanobis distance, Analytical research, Image processing algorithms and systems, Error analysis

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Proceedings Article | 6 April 2005 Paper

Closed-form compression noise in images with known statistics

Dunling Li, Murray Loew

Proceedings Volume 5749, (2005) https://doi.org/10.1117/12.596017

KEYWORDS: Quantization, Image compression, Bismuth, Statistical analysis, Performance modeling, Matrices, Statistical modeling, Image filtering, Nickel, Medical imaging

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Proceedings Article | 6 April 2005 Paper

Conspicuous spatial frequency features in mammograms using a mixed-effects model

Philip Perconti, Murray Loew

Proceedings Volume 5749, (2005) https://doi.org/10.1117/12.596067

KEYWORDS: Spatial frequencies, Mammography, Statistical modeling, Computer aided diagnosis and therapy, Algorithm development, Visualization, Data modeling, Solid modeling, Spatial filters, Inspection

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SPIE Journal Paper | 1 September 2004 Open Access

Differential oblique angle spectroscopy of the oral epithelium

David Hattery, Brenda Hattery, Victor Chernomordik, Paul Smith, Murray Loew, James Mulshine, Amir Gandjbakhche

JBO, Vol. 9, Issue 05, (September 2004) https://doi.org/10.1117/12.10.1117/1.1781161

KEYWORDS: Scattering, Photons, Tissue optics, Absorption, Sensors, Tissues, Inflammation, Natural surfaces, Spectroscopy, Light scattering

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Proceedings Article | 12 May 2004 Paper

Quantifying the tradeoff between uniform computer-based and nonuniform manual sampling in stereology

Zvi Markowitz, Murray Loew

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.535438

KEYWORDS: Image processing, Thulium, Tissues, Image classification, Nonuniform sampling, Error analysis, Image segmentation, Nickel, Natural surfaces, Image resolution

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Proceedings Article | 4 May 2004 Paper

Closed-form quality measures for compressed medical images: compression noise statistics of transform coding

Dunling Li, Murray Loew

Proceedings Volume 5372, (2004) https://doi.org/10.1117/12.536124

KEYWORDS: Bismuth, Image compression, Quantization, Statistical analysis, Medical imaging, Image quality, Quality measurement, Statistical modeling, Image processing, Performance modeling

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Proceedings Article | 4 May 2004 Paper

Salient features in mammograms using Gabor filters and clustering

Philip Perconti, Murray Loew

Proceedings Volume 5372, (2004) https://doi.org/10.1117/12.536014

KEYWORDS: Mammography, Visibility, Spatial frequencies, Mahalanobis distance, Visual process modeling, Distance measurement, Statistical analysis, Image filtering, Image processing, Filtering (signal processing)

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Proceedings Article | 22 May 2003 Paper

Bit-plane-channelized hotelling observer for predicting task performance using lossy-compressed images

Brian Schmanske, Murray Loew

Proceedings Volume 5034, (2003) https://doi.org/10.1117/12.480082

KEYWORDS: Image compression, Signal detection, Performance modeling, Signal to noise ratio, Wavelets, Mammography, Image quality, Image analysis, Chromium, Spatial resolution

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Proceedings Article | 15 May 2003 Paper

Towards the automatic detection of large misregistrations

Claudia Rodriguez-Carranza, Murray Loew

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.481383

KEYWORDS: Brain, Image registration, Skin, Computed tomography, Visualization, Magnetic resonance imaging, Image segmentation, Electronic filtering, Distance measurement, Quality measurement

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Proceedings Article | 15 May 2003 Paper

Analysis of the trade-offs between manual and computer-based stereology/classification

Zvi Markowitz, Murray Loew

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.481911

KEYWORDS: Image processing, Image classification, Biological research, Error analysis, Thulium, Tissues, Algorithm development, Optical spheres, Image resolution, Image analysis

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SPIE Journal Paper | 1 January 2003 Open Access

Guest Editorial: Special Section on Biomedical Image Representation

Sunanda Mitra, Murray Loew

JEI, Vol. 8, Issue 01, (January 2003) https://doi.org/10.1117/12.10.1117/1.482670

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Proceedings Article | 9 May 2002 Paper

Feasibility of an automated technique for detection of large misregistrations

Claudia Rodriguez-Carranza, Murray Loew

Proceedings Volume 4684, (2002) https://doi.org/10.1117/12.467044

KEYWORDS: Image registration, Brain, Quality measurement, Error analysis, Image segmentation, Computed tomography, Visualization, Magnetic resonance imaging, Neuroimaging, Gold

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Proceedings Article | 3 May 2002 Paper

S/N and fMRI sensitivity

Natalia Petridou, Murray Loew, Peter Bandettini

Proceedings Volume 4682, (2002) https://doi.org/10.1117/12.465623

KEYWORDS: Head, Functional magnetic resonance imaging, Interference (communication), Modulation, Magnetism, Medical imaging, Image filtering, Magnetic resonance imaging, Signal detection, Data acquisition

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Proceedings Article | 21 May 2001 Paper

Neuronal current imaging using MRI: a feasibility study

Natalia Petridou, Jerzy Bodurka, Murray Loew, Peter Bandettini

Proceedings Volume 4321, (2001) https://doi.org/10.1117/12.428136

KEYWORDS: Magnetism, Magnetic resonance imaging, Neurons, Signal detection, Phase shifts, Brain, Image resolution, Electroencephalography, Magnetoencephalography, Medical imaging

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Current functional MRI techniques are essentially based on detection of hemodynamic changes induced by neuronal activation. This study is an exploration of the feasibility of direct detection of neuronal current induced NMR phase and/or magnitude changes. Our analysis was based on the approximation that neurons exist in an infinite homogeneous conducting medium, and are represented by an infinitely long cylindrical conductor, carrying uniform current. Neuronal activation was modeled by a current dipole. Simulations were performed to evaluate the effects of the local neuronal magnetic fields on the MRI signal at 3T. The magnetic field changes and the corresponding phase changes induced from a current range of 2 nA to 100 (mu) A were estimated. The conductor diameter was varied from 10 micrometer to 1 mm corresponding to the sizes ranging from that of a single axon to that of a patch of functionally similar cortex. Current induced magnetic field effects were assessed as resolution and neuronal orientation with respect to Bo were modulated. Simulation results were compared with measurements obtained from a current phantom at 3T, for a current range of 10 - 100 (mu) A. Based on the dipole model formulated we found that neuronal currents can produce magnetic fields on the order of 1.3 pT; 0.0006 degree(s) to 9 nT; 4 degree(s) depending on the neuronal bundle diameter, orientation, and current capacity. The mechanism for signal changes is that of Bo shifts. This is fundamentally similar to that of BOLD contrast, but caused by current changes rather than susceptibility changes from changes in blood oxygenation. If the bundles are of random orientations within a voxel, the estimated fields and NMR magnitude changes (decrease in T2*) are on the order of present system detection levels of approximately 1nT; 0.5 degree(s) or 0.01% signal change. Conversely, if the bundle orientation is homogeneous, then neuronal current effects are above system detection levels. The spatial scale of the current distribution also determines the net phase shift and magnitude change. The simulation and phantom experiment results demonstrated the feasibility of using MRI to directly detect local magnetic field perturbations that can result from neuronal currents on the order of a few (mu) A. This study provides a simple model for the evaluation of the feasibility to directly measure neuronal currents with MRI. Additionally it gives a starting point for the design of appropriate imaging methods towards detecting low signal level neuronal currents. A more extensive modeling of cortical and neuronal geometry, tissue inhomogeneity, timing mechanisms, and current distributions, will provide further insight in the development of MRI experimental techniques.

Proceedings Article | 6 June 2000 Paper

Fractal discrimination of MRI breast masses using multiple segmentations

Alan Penn, Scott Thompson, Mitchell Schnall, Murray Loew, Lizann Bolinger

Proceedings Volume 3979, (2000) https://doi.org/10.1117/12.387599

KEYWORDS: Image segmentation, Cancer, Fractal analysis, Breast, Magnetic resonance imaging, Binary data, Tumor growth modeling, Computer aided diagnosis and therapy, Statistical analysis, Lawrencium

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Proceedings Article | 6 June 2000 Paper

Evaluation of the accuracy of an edge-based approach for multimodality brain image registration

Li-Yueh Hsu, Murray Loew

Proceedings Volume 3979, (2000) https://doi.org/10.1117/12.387698

KEYWORDS: Image registration, Image segmentation, Feature extraction, Brain, Magnetic resonance imaging, Edge detection, Computed tomography, Neuroimaging, 3D image processing, Positron emission tomography

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Proceedings Article | 5 May 2000 Paper

Feature-based technique for automated image registration of the brain

Li-Yueh Hsu, Murray Loew

Proceedings Volume 3905, (2000) https://doi.org/10.1117/12.384878

KEYWORDS: Image registration, Image segmentation, Feature extraction, Magnetic resonance imaging, Brain, Edge detection, Computed tomography, Neuroimaging, 3D image processing, Positron emission tomography

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Proceedings Article | 25 April 2000 Paper

Two-dimensional model of electromagnetic wave propagation in the volume holographic recording using photorefractive polymer

Shahram Shiri, Murray Loew, Richard Lyon, Wasyl Wasylkiwskyj

Proceedings Volume 3977, (2000) https://doi.org/10.1117/12.384547

KEYWORDS: Refraction, Photorefractive polymers, Radio propagation, Multiplexing, Wave propagation, Holography, Holograms, Polymers, Data storage, Refractive index

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Proceedings Article | 20 April 2000 Paper

Fluorescence measurement of localized deeply embedded physiological processes

David Hattery, Victor Chernomordik, Israel Gannot, Murray Loew, Amir Gandjbakhche

Proceedings Volume 3978, (2000) https://doi.org/10.1117/12.383419

KEYWORDS: Luminescence, Absorption, Scattering, Tissue optics, Tissues, Sensors, Multiple scattering, Fluorescence lifetime imaging, 3D modeling, Natural surfaces

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Proceedings Article | 8 July 1999 Paper

Current directions in automated medical image analysis

Murray Loew

Proceedings Volume 3747, (1999) https://doi.org/10.1117/12.351618

KEYWORDS: Image registration, Image segmentation, Scattering, Brain, Medical imaging, Tissues, Demodulation, Magnetic resonance imaging, Ultrasonography, Neuroimaging

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Proceedings Article | 28 May 1999 Paper

Time-resolved fluorescent imaging in tissue

David Hattery, Victor Chernomordik, Murray Loew, Israel Gannot, Amir Gandjbakhche

Proceedings Volume 3659, (1999) https://doi.org/10.1117/12.349513

KEYWORDS: Photons, Scattering, Absorption, Sensors, Tissue optics, Tissues, Molecules, Multiple scattering, 3D modeling, Luminescence

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