Prof. Georges El Fakhri Profile

Prof. Georges El Fakhri

Director, Yale PET Center at Yale Univ. School of Medicine

SPIE Involvement:

Author

Publications (28)

Proceedings Article | 1 May 2024 Poster + Paper

Speech motion anomaly detection via cross-modal translation of 4D motion fields from tagged MRI

Xiaofeng Liu, Fangxu Xing, Jiachen Zhuo, Maureen Stone, Jerry Prince, Georges El Fakhri, Jonghye Woo

Proceedings Volume 12926, 129262W (2024) https://doi.org/10.1117/12.3006874

KEYWORDS: Education and training, 3D modeling, Magnetic resonance imaging, Acoustics, Tongue, Motion detection, Data modeling, Motion models, Performance modeling, Diseases and disorders

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Proceedings Article | 3 April 2024 Poster + Paper

Treatment-wise glioblastoma survival Inference with multi-parametric preoperative MRI

Xiaofeng Liu, Nadya Shusharina, Helen Shih, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo

Proceedings Volume 12927, 129272H (2024) https://doi.org/10.1117/12.3006897

KEYWORDS: Data modeling, Magnetic resonance imaging, Education and training, Resection, Visual process modeling, Tumors, Modeling, 3D mask effects, Medical imaging, Machine learning

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Proceedings Article | 3 April 2024 Presentation + Paper

Evaluation of few-shot detection of head and neck anatomy in CT

Kyungeun Lee, Jihoon Cho, Jiye Lee, Fangxu Xing, Xiaofeng Liu, Hyungjoon Bae, Kyungsu Lee, Jae Youn Hwang, Jinah Park, Georges El Fakhri, Kyung-Wook Jee, Jonghye Woo

Proceedings Volume 12927, 1292716 (2024) https://doi.org/10.1117/12.3006895

KEYWORDS: Object detection, Anatomy, Neck, Medical imaging, Head, Data modeling, Computed tomography

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Proceedings Article | 2 April 2024 Poster + Paper

Disentangled multimodal brain MR image translation via transformer-based modality infuser

Jihoon Cho, Xiaofeng Liu, Fangxu Xing, Jinsong Ouyang, Georges El Fakhri, Jinah Park, Jonghye Woo

Proceedings Volume 12926, 129262H (2024) https://doi.org/10.1117/12.3006502

KEYWORDS: Magnetic resonance imaging, Education and training, Image segmentation, Brain, Neuroimaging, Transformers, Tumors, Medical imaging, Feature extraction, Visualization

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Proceedings Article | 3 April 2023 Poster + Paper

Quantifying velopharyngeal motion variation in speech sound production using an audio-informed dynamic MRI atlas

Fangxu Xing, Riwei Jin, Imani Gilbert, Georges El Fakhri, Jamie Perry, Bradley Sutton, Jonghye Woo

Proceedings Volume 12464, 124642M (2023) https://doi.org/10.1117/12.2654082

KEYWORDS: Magnetic resonance imaging, Deformation, Principal component analysis, Data acquisition, Visualization, Tongue, Motion analysis, Laser induced plasma spectroscopy, Tissues, Quantitative analysis

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Proceedings Article | 3 April 2023 Presentation + Paper

Synthesizing audio from tongue motion during speech using tagged MRI via transformer

Xiaofeng Liu, Fangxu Xing, Jerry Prince, Maureen Stone, Georges El Fakhri, Jonghye Woo

Proceedings Volume 12464, 1246410 (2023) https://doi.org/10.1117/12.2653345

KEYWORDS: Transformers, Modeling, Magnetic resonance imaging, 3D modeling, Tongue, Education and training, Windows, Gallium nitride, Deformation, Feature extraction

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Proceedings Article | 4 April 2022 Presentation + Paper

Unsupervised domain adaptation for segmentation with black-box source model

Xiaofeng Liu, Chaehwa Yoo, Fangxu Xing, C.-C. Jay Kuo, Georges El Fakhri, Je-Won Kang, Jonghye Woo

Proceedings Volume 12032, 1203210 (2022) https://doi.org/10.1117/12.2607895

KEYWORDS: Data modeling, Tumors, Performance modeling, Image segmentation, Magnetic resonance imaging, Databases, Statistical modeling, Resonance enhancement, Classification systems, Neuroimaging

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Proceedings Article | 4 April 2022 Presentation + Paper

Structure-aware unsupervised tagged-to-cine MRI synthesis with self disentanglement

Xiaofeng Liu, Fangxu Xing, Jerry L. Prince, Maureen Stone, Georges El Fakhri, Jonghye Woo

Proceedings Volume 12032, 120321Q (2022) https://doi.org/10.1117/12.2610655

KEYWORDS: Magnetic resonance imaging, Image segmentation, Gallium nitride, Tissues, Medical imaging, Tongue, Motion analysis, Feature extraction, Computer programming, Binary data

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Proceedings Article | 4 April 2022 Presentation + Paper

Measuring strain in diffusion-weighted data using tagged magnetic resonance imaging

Fangxu Xing, Xiaofeng Liu, Timothy Reese, Maureen Stone, Van Wedeen, Jerry Prince, Georges El Fakhri, Jonghye Woo

Proceedings Volume 12032, 1203205 (2022) https://doi.org/10.1117/12.2610989

KEYWORDS: Tongue, Magnetic resonance imaging, Diffusion, Image segmentation, Tissues, Data acquisition, Motion estimation, Motion analysis, Image registration, Neural networks

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Proceedings Article | 4 April 2022 Presentation + Paper

Variational inference for quantifying inter-observer variability in segmentation of anatomical structures

Xiaofeng Liu, Fangxu Xing, Thibault Marin, Georges El Fakhri, Jonghye Woo

Proceedings Volume 12032, 120321M (2022) https://doi.org/10.1117/12.2604547

KEYWORDS: Image segmentation, Magnetic resonance imaging, Medical imaging, Brain, Databases, Computer programming, Brain mapping, Neural networks, Data modeling, Tumors

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Proceedings Article | 15 February 2021 Presentation + Paper

Floor-of-the-mouth muscle function analysis using dynamic magnetic resonance imaging

Fangxu Xing, Maureen Stone, Jerry Prince, Xiaofeng Liu, Georges El Fakhri, Jonghye Woo

Proceedings Volume 11596, 115961P (2021) https://doi.org/10.1117/12.2581484

KEYWORDS: Tongue, Magnetic resonance imaging, Statistical analysis, Mechanics, Cancer

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Proceedings Article | 10 March 2020 Paper

Identifying the common and subject-speciﬁc functional units of speech movements via a joint sparse non-negative matrix factorization framework

Jonghye Woo, Fangxu Xing, Jerry Prince, Maureen Stone, Timothy Reese, Van Wedeen, Georges El Fakhri

Proceedings Volume 11313, 113131S (2020) https://doi.org/10.1117/12.2548991

KEYWORDS: Tongue, Magnetic resonance imaging, Motion analysis, Medical imaging

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Proceedings Article | 28 May 2019 Paper

MAPEM-Net: an unrolled neural network for Fully 3D PET image reconstruction

Kuang Gong, Dufan Wu, Kyungsang Kim, Jaewon Yang, Tao Sun, Georges El Fakhri, Youngho Seo, Quanzheng Li

Proceedings Volume 11072, 110720O (2019) https://doi.org/10.1117/12.2534904

KEYWORDS: Image restoration, Neural networks, Positron emission tomography, Denoising, 3D image processing, Computer simulations, Reconstruction algorithms, 3D modeling, Medical imaging

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Proceedings Article | 28 May 2019 Paper

Bulk motion detection and correction using list-mode data for cardiac PET imaging

Tao Sun, Yoann Petibon, Paul Han, Chao Ma, Sally Kim, Nathaniel Alpert, Georges El Fakhri, Jinsong Ouyang

Proceedings Volume 11072, 110722F (2019) https://doi.org/10.1117/12.2534701

KEYWORDS: Positron emission tomography, Image quality, Motion detection, Data corrections, Motion estimation, Blood, Image enhancement, Signal attenuation, Heart, Image processing

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Proceedings Article | 1 March 2019 Paper

Computational-efficient cascaded neural network for CT image reconstruction

Dufan Wu, Kyungsang Kim, Georges El Fakhri, Quanzheng Li

Proceedings Volume 10948, 109485Z (2019) https://doi.org/10.1117/12.2511526

KEYWORDS: Neural networks, CT reconstruction, Computed tomography, Reconstruction algorithms, 3D image processing, Medical imaging, Image restoration

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Proceedings Article | 1 March 2019 Presentation + Paper

First results developing time-of-flight proton radiography for proton therapy applications

William Worstell, Bernhard Adams, Melvin Aviles, Justin Bond, Ethan Cascio, Till Cremer, Georges El Fakhri, Camden Ertley, Michael Foley, Kira Grogg, Cole Hamel, Hsiao-Ming Lu, Alexey Lyashenko, Michael Minot, Harald Paganetti, Mark Popecki, Michael Stochaj

Proceedings Volume 10948, 109480G (2019) https://doi.org/10.1117/12.2511804

KEYWORDS: Sensors, Microchannel plates, Radiography, Telescopes, Picosecond phenomena, Photodetectors, Oscilloscopes, Quantum efficiency, Resistance, Pulsed laser operation

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Proceedings Article | 1 March 2019 Paper

EMnet: an unrolled deep neural network for PET image reconstruction

Kuang Gong, Dufan Wu, Kyungsang Kim, Jaewon Yang, Georges El Fakhri, Youngho Seo, Quanzheng Li

Proceedings Volume 10948, 1094853 (2019) https://doi.org/10.1117/12.2513096

KEYWORDS: Neural networks, Positron emission tomography, Image restoration, Denoising, Expectation maximization algorithms, Medical imaging, Image quality, Brain, Neuroimaging, Medical image reconstruction

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Proceedings Article | 2 March 2018 Presentation + Paper

Strain map of the tongue in normal and ALS speech patterns from tagged and diffusion MRI

Fangxu Xing, Jerry Prince, Maureen Stone, Timothy Reese, Nazem Atassi, Van Wedeen, Georges El Fakhri, Jonghye Woo

Proceedings Volume 10574, 1057411 (2018) https://doi.org/10.1117/12.2293028

KEYWORDS: Tongue, Diffusion tensor imaging, Control systems, Tissues, Magnetic resonance imaging, Structured optical fibers, Motion estimation, Diffusion magnetic resonance imaging, Image registration, Radiology

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Proceedings Article | 2 March 2018 Paper

Subject-specific brain tumor growth modelling via an efficient Bayesian inference framework

Yongjin Chang, Gregory Sharp, Quanzheng Li, Helen Shih, Georges El Fakhri, Jong Beom Ra, Jonghye Woo

Proceedings Volume 10574, 105742I (2018) https://doi.org/10.1117/12.2293145

KEYWORDS: Tumors, Brain, Image segmentation, Diffusion, Neuroimaging, Modeling, Bayesian inference, Magnetic resonance imaging, In vivo imaging, Medical imaging

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SPIE Journal Paper | 26 April 2017

Joint estimation of activity image and attenuation sinogram using time-of-flight positron emission tomography data consistency condition filtering

Quanzheng Li, Hao Li, Kyungsang Kim, Georges El Fakhri

JMI, Vol. 4, Issue 02, 023502, (April 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.2.023502

KEYWORDS: Signal attenuation, Positron emission tomography, Image analysis, Image filtering, Lithium, Medical imaging, Scanners, Computed tomography, Image quality, Electroluminescence

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Proceedings Article | 13 March 2017 Presentation + Paper

Image deblurring using a joint entropy prior in x-ray luminescence computed tomography

Chang Su, Joyita Dutta, Hui Zhang, Georges El Fakhri, Quanzheng Li

Proceedings Volume 10137, 1013706 (2017) https://doi.org/10.1117/12.2254649

KEYWORDS: X-ray computed tomography, Image processing, Point spread functions, X-ray imaging, Luminescence, Image quality, CCD cameras, Lung, Tissues, Bone

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Proceedings Article | 24 February 2017 Presentation + Paper

A four-dimensional motion field atlas of the tongue from tagged and cine magnetic resonance imaging

Fangxu Xing, Jerry Prince, Maureen Stone, Van Wedeen, Georges El Fakhri, Jonghye Woo

Proceedings Volume 10133, 101331H (2017) https://doi.org/10.1117/12.2254363

KEYWORDS: Tongue, Magnetic resonance imaging, Motion measurement, Statistical analysis, Human subjects, Motion estimation, Principal component analysis, Visualization, 3D image processing, Image processing

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SPIE Journal Paper | 12 July 2016

Numerical observer for atherosclerotic plaque classification in spectral computed tomography

Auranuch Lorsakul, Georges El Fakhri, William Worstell, Jinsong Ouyang, Yothin Rakvongthai, Andrew Laine, Quanzheng Li

JMI, Vol. 3, Issue 03, 035501, (July 2016) https://doi.org/10.1117/12.10.1117/1.JMI.3.3.035501

KEYWORDS: Computed tomography, Signal attenuation, Signal to noise ratio, Sensors, Image filtering, X-ray computed tomography, Arteries, Imaging systems, X-rays, Medical imaging

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Spectral computed tomography (SCT) generates better image quality than conventional computed tomography (CT). It has overcome several limitations for imaging atherosclerotic plaque. However, the literature evaluating the performance of SCT based on objective image assessment is very limited for the task of discriminating plaques. We developed a numerical-observer method and used it to assess performance on discrimination vulnerable-plaque features and compared the performance among multienergy CT (MECT), dual-energy CT (DECT), and conventional CT methods. Our numerical observer was designed to incorporate all spectral information and comprised two-processing stages. First, each energy-window domain was preprocessed by a set of localized channelized Hotelling observers (CHO). In this step, the spectral image in each energy bin was decorrelated using localized prewhitening and matched filtering with a set of Laguerre–Gaussian channel functions. Second, the series of the intermediate scores computed from all the CHOs were integrated by a Hotelling observer with an additional prewhitening and matched filter. The overall signal-to-noise ratio (SNR) and the area under the receiver operating characteristic curve (AUC) were obtained, yielding an overall discrimination performance metric. The performance of our new observer was evaluated for the particular binary classification task of differentiating between alternative plaque characterizations in carotid arteries. A clinically realistic model of signal variability was also included in our simulation of the discrimination tasks. The inclusion of signal variation is a key to applying the proposed observer method to spectral CT data. Hence, the task-based approaches based on the signal-known-exactly/background-known-exactly (SKE/BKE) framework and the clinical-relevant signal-known-statistically/background-known-exactly (SKS/BKE) framework were applied for analytical computation of figures of merit (FOM). Simulated data of a carotid-atherosclerosis patient were used to validate our methods. We used an extended cardiac-torso anthropomorphic digital phantom and three simulated plaque types (i.e., calcified plaque, fatty-mixed plaque, and iodine-mixed blood). The images were reconstructed using a standard filtered backprojection (FBP) algorithm for all the acquisition methods and were applied to perform two different discrimination tasks of: (1) calcified plaque versus fatty-mixed plaque and (2) calcified plaque versus iodine-mixed blood. MECT outperformed DECT and conventional CT systems for all cases of the SKE/BKE and SKS/BKE tasks (all p<0.01). On average of signal variability, MECT yielded the SNR improvements over other acquisition methods in the range of 46.8% to 65.3% (all p<0.01) for FBP-Ramp images and 53.2% to 67.7% (all p<0.01) for FBP-Hanning images for both identification tasks. This proposed numerical observer combined with our signal variability framework is promising for assessing material characterization obtained through the additional energy-dependent attenuation information of SCT. These methods can be further extended to other clinical tasks such as kidney or urinary stone identification applications.

SPIE Journal Paper | 3 November 2014

Quantitative simultaneous positron emission tomography and magnetic resonance imaging

Jinsong Ouyang, Yoann Petibon, Chuan Huang, Timothy Reese, Aleksandra Kolnick, Georges El Fakhri

JMI, Vol. 1, Issue 03, 033502, (November 2014) https://doi.org/10.1117/12.10.1117/1.JMI.1.3.033502

KEYWORDS: Positron emission tomography, Point spread functions, Signal attenuation, Magnetic resonance imaging, Motion models, Motion measurement, Scanners, Liver, Heart, Tissues

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Proceedings Article | 5 June 2014 Paper

Quantitative simultaneous PET-MR imaging

Jinsong Ouyang, Yoann Petibon, Chuan Huang, Timothy Reese, Aleksandra Kolnick, Georges El Fakhri

Proceedings Volume 9083, 908325 (2014) https://doi.org/10.1117/12.2051578

KEYWORDS: Positron emission tomography, Signal attenuation, Motion measurement, Point spread functions, Tissues, Magnetic resonance imaging, Motion models, Liver, Lung, Tumors

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Proceedings Article | 19 March 2014 Paper

A spectral CT technique using balanced K-edge filter set

Yothin Rakvongthai, William Worstell, Georges El Fakhri, Jinsong Ouyang

Proceedings Volume 9033, 90335M (2014) https://doi.org/10.1117/12.2043747

KEYWORDS: Optical filters, Signal attenuation, Spectroscopy, Data acquisition, X-rays, Computed tomography, Image filtering, Cerium, Dysprosium, Silver

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Proceedings Article | 21 May 1999 Paper

The need to develop guidelines for the evaluation of medical image processing procedures

Irene Buvat, Virginie Chameroy, Florent Aubry, Melanie Pelegrini, Georges El Fakhri, Celine Huguenin, Habib Benali, Andrew Todd-Pokropek, Robert Di Paola

Proceedings Volume 3661, (1999) https://doi.org/10.1117/12.348547

KEYWORDS: Image processing, Medical imaging, Mammography, Single photon emission computed tomography, Signal attenuation, X-rays, Data modeling, Detection and tracking algorithms, Reconstruction algorithms, Statistical analysis

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Proceedings Article | 24 June 1998 Paper

Evaluation of scatter correction methods using Monte Carlo simulation in nonuniform media

Georges El Fakhri, Philippe Maksud, Andre Aurengo

Proceedings Volume 3338, (1998) https://doi.org/10.1117/12.310913

KEYWORDS: Monte Carlo methods, Liver, Photons, Artificial neural networks, Signal attenuation, Collimators, Single photon emission computed tomography, Neurons, Spatial resolution, Error analysis

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Showing 5 of 28 publications

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