Prof. Jovan G. Brankov Profile

Prof. Jovan G. Brankov

Professor at Illinois Institute of Technology

SPIE Involvement:

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

Area of Expertise:

phase contrast imaging , image quality assessment , model observer , image processing , machine learning

Websites:

Company Website

Profile Summary

Dr. Brankov is a Professor in ECE/BME Department at the Illinois Institute of Technology. His research interests include medical imaging (software and hardware), machine learning and data mining. His current research topics include: medical image quality assessment based on a human-observer model, multiple-image radiography (a new phase-sensitive x-ray imaging method), 4D and 5D tomographic image reconstruction methods for medical image sequences and deep learning in medical imaging. He established the Advanced X-ray Imaging Laboratory (AXIL) at IIT, which is currently developing a phase-sensitive x-ray device.
His is currently serving as: associate editor for IEEE Transactions on Biomedical Engineering, Medical Physics (AAPM) and Journal of Electronic Imaging (SPIE and IS&T), program committee member for IEEE International Symposium on Biomedical Imaging and SPIE Image Perception conferences and review on SBIB (10) NIH panel. He is a member of SPIE, Sigma Xi and senior member of IEEE technical communities.

Publications (59)

Proceedings Article | 2 April 2024 Poster + Paper

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 | 29 March 2024 Presentation + Paper

Presentation + Paper

Adaptive learning approach to improve generalization performance of a domain-aware CNN-based ideal model observer

Nebojsa Bogdanovic, Craig Abbey, Yongyi Yang, Jovan Brankov

Proceedings Volume 12929, 129290C (2024) https://doi.org/10.1117/12.3006257

KEYWORDS: Education and training, Reconstruction algorithms, Image restoration, Performance modeling, Image processing, Information operations, Data modeling, Molybdenum, Network architectures, Convolutional neural networks

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Proceedings Article | 13 March 2024 Presentation + Paper

Presentation + Paper

A dual-aperture fluorescence ratio approach to guide margin assessment intraoperatively in head and neck cancer surgery

Cody Rounds, Jaron de Wit, Jasper Vonk, Jennifer Vorjohan, Sophia Nelson, Brooke Villinski, Allyson Trang, Jovan Brankov, Floris Voskuil, Max J. Witjes, Kenneth Tichauer

Proceedings Volume 12825, 1282502 (2024) https://doi.org/10.1117/12.3002628

KEYWORDS: Fluorescence, Surgery, Imaging systems, Cancer, Resection, Image analysis

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Proceedings Article | 13 March 2024 Presentation + Paper

Presentation + Paper

Ex vivo detection of oral squamous cell carcinoma spread to lymph nodes using paired-agent fluorescence optical tomography: path to clinical translation

Anjalika Sharma, Cody Rounds, T. Nijboer, Floris Voskuil, Max J. Witjes, Jovan Brankov, Kenneth Tichauer

Proceedings Volume 12825, 1282507 (2024) https://doi.org/10.1117/12.3001099

KEYWORDS: Cancer, Lymph nodes, Neck, Tumors, Head, 3D modeling, Tumor growth modeling, Surgery, Neodymium, Cancer detection

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SPIE Journal Paper | 17 January 2024 Open Access

Open Access

Improved intraoperative identification of close margins in oral squamous cell carcinoma resections using a dual aperture fluorescence ratio approach: first in-human results

Cody C. Rounds, Jaron G. de Wit, Jasper Vonk, Jennifer Vorjohan, Sophia Nelson, Allyson Trang, Brooke Villinski, Kimberley S. Samkoe, Jovan G. Brankov, Floris J. Voskuil, Max J. H. Witjes, Kenneth M. Tichauer

JBO, Vol. 29, Issue 01, 016003, (January 2024) https://doi.org/10.1117/12.10.1117/1.JBO.29.1.016003

KEYWORDS: Fluorescence, Resection, Tumors, Surgery, Imaging systems, Statistical analysis, Pathology, Cancer detection, Fluorescence imaging, Tissues

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Proceedings Article | 15 March 2023 Presentation + Paper

Presentation + Paper

Fluorescence mesoscopic imaging of whole lymph nodes for intraoperative sentinel lymph node biopsy procedures

Kenneth Tichauer, Cody Rounds, Veronica Torres, Chengyue Li, Hang Nguyen, Thom Nijboer, Floris Voskuil, Jovan Brankov, Max J. Witjes

Proceedings Volume 12361, 123610C (2023) https://doi.org/10.1117/12.2654231

KEYWORDS: Lymph nodes, Monte Carlo methods, Cancer, Biological imaging, Simulations, Surgery, Fluorescence, Cancer detection

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SPIE Journal Paper | 30 June 2022 Open Access

Open Access

Special Section Guest Editorial: Hard X-Ray Tomography with Micrometer Resolution

Bert Müller, Stuart Stock, Ge Wang, Jovan Brankov

JMI, Vol. 9, Issue 03, 031501, (June 2022) https://doi.org/10.1117/12.10.1117/1.JMI.9.3.031501

KEYWORDS: Tomography, Hard x-rays, X-rays, X-ray imaging, Teeth, Computed tomography, Tumors, Spatial resolution, Reconstruction algorithms, Radiography

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Proceedings Article | 4 April 2022 Presentation + Paper

Presentation + Paper

Analyzing neural networks applied to an anatomical simulation of the breast

Craig Abbey, Sourya Sengupta, Weimin Zhou, Andreu Badal, Rongping Zeng, Frank Samuelson, Miguel Eckstein, Kyle Myers, Mark Anastasio, Jovan Brankov

Proceedings Volume 12035, 1203505 (2022) https://doi.org/10.1117/12.2612614

KEYWORDS: Denoising, Neural networks, Breast, Data modeling, Digital breast tomosynthesis, Signal detection

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Proceedings Article | 5 March 2021 Presentation + Paper

Presentation + Paper

Calibration and artifact correction in an angular-domain fluorescence optical projection tomography system

Veronica Torres, Chengyue Li, Wei Zhou, Jovan Brankov, Kenneth Tichauer

Proceedings Volume 11633, 116330K (2021) https://doi.org/10.1117/12.2584737

KEYWORDS: Luminescence, Imaging systems, Tomography, Projection systems, Optical tomography, Lymphatic system, Fluorescence tomography, Image resolution, Scattering, Tissues

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Proceedings Article | 5 March 2021 Poster + Presentation + Paper

Poster + Presentation + Paper

Iterative reconstruction using Monte Carlo generated system matrix for angle-restricted optical tomography

Veronica Torres, Chengyue Li, Jovan Brankov, Kenneth Tichauer

Proceedings Volume 11639, 116391U (2021) https://doi.org/10.1117/12.2584915

KEYWORDS: Monte Carlo methods, Optical tomography, Expectation maximization algorithms, Reconstruction algorithms, Image quality, Tomography, Scattering, Visualization, Projection systems, Photodetectors

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Proceedings Article | 5 March 2021 Presentation + Paper

Presentation + Paper

Intraoperative micrometastases detection using paired-agent fluorescent imaging: trial-and-error protocol development

Chengyue Li, Veronica Torres, Yusheng He, Xiaochun Xu, Cody Rounds, Sophia Nelson, Kimberley Samkoe, Jovan Brankov, Kenneth Tichauer

Proceedings Volume 11631, 116310T (2021) https://doi.org/10.1117/12.2584990

KEYWORDS: Lymphatic system, Cancer, Luminescence, Tumors, Spatial resolution, Receptors, Oncology, Imaging systems, Image resolution, Biopsy

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Proceedings Article | 15 February 2021 Presentation + Paper

Presentation + Paper

Understanding CNN based anthropomorphic model observer using classification images

Iris Lorente, Craig Abbey, Jovan Brankov

Proceedings Volume 11599, 115990C (2021) https://doi.org/10.1117/12.2581121

KEYWORDS: Image classification, Molybdenum, Diagnostics, Reconstruction algorithms, Medical imaging, Image filtering, Convolutional neural networks, Computer simulations

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Proceedings Article | 15 February 2021 Presentation + Paper

Presentation + Paper

CNN based anthropomorphic model observer for defect localization

Iris Lorente, Craig Abbey, Jovan Brankov

Proceedings Volume 11599, 115990B (2021) https://doi.org/10.1117/12.2581119

KEYWORDS: Molybdenum, Reconstruction algorithms, Algorithm development, Optimization (mathematics), Medical imaging, Machine learning, Diagnostics, Defect detection, Convolutional neural networks

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Proceedings Article | 16 March 2020 Presentation + Paper

Presentation + Paper

Deep learning based model observer by U-Net

Iris Lorente, Craig Abbey, Jovan Brankov

Proceedings Volume 11316, 113160F (2020) https://doi.org/10.1117/12.2549687

KEYWORDS: Medical imaging, Diagnostics, Image quality, Performance modeling, Defect detection, Computer simulations, Convolution, Binary data

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Proceedings Article | 16 March 2020 Paper

Paper

Comparison of the phase and absorption contrast tomographic reconstruction

Mehdi Toumi, Wei Zhou, Jovan Brankov

Proceedings Volume 11312, 1131250 (2020) https://doi.org/10.1117/12.2549754

KEYWORDS: Absorption, Crystals, Tomography, X-rays, Monochromators, X-ray imaging, Radiography, Imaging systems, Phase contrast

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Proceedings Article | 21 February 2020 Presentation + Paper

Presentation + Paper

System matrix generation for angular domain tomographic reconstruction

Veronica Torres, Chengyue Li, Jovan Brankov, Kenneth Tichauer

Proceedings Volume 11229, 112290M (2020) https://doi.org/10.1117/12.2545999

KEYWORDS: Imaging systems, Monte Carlo methods, Lymphatic system, Tomography, Reconstruction algorithms, Optical tomography

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Proceedings Article | 17 February 2020 Presentation + Paper

Presentation + Paper

Lymph node micrometastases detection using paired-agent imaging protocol with biological tissue model

Chengyue Li, Veronica Torres, Yusheng He, Xiaochun Xu, Jovan Brankov, Kenneth Tichauer

Proceedings Volume 11243, 112431P (2020) https://doi.org/10.1117/12.2546427

KEYWORDS: Lymphatic system, Cancer, Tissues, Tumors, Luminescence, Tumor growth modeling, Pathology, 3D modeling, Breast cancer, Oncology

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SPIE Journal Paper | 8 November 2019 Open Access

Open Access

Angular restriction fluorescence optical projection tomography to localize micrometastases in lymph nodes

Veronica Torres, Chengyue Li, Yusheng He, Lagnojita Sinha, Georgia Papavasiliou, Husain Sattar, Jovan Brankov, Kenneth Tichauer

JBO, Vol. 24, Issue 11, 110501, (November 2019) https://doi.org/10.1117/12.10.1117/1.JBO.24.11.110501

KEYWORDS: Lymphatic system, Luminescence, Tissues, Tomography, Scattering, Projection systems, Fluorescence tomography, Optical tomography, Imaging systems, Tissue optics

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Proceedings Article | 28 May 2019 Paper

Paper

A step toward a clinically viable ABI phase-contrast imaging: double emission line artifacts correction

Oriol Caudevilla, Wei Zhou, Jovan Brankov

Proceedings Volume 11072, 1107219 (2019) https://doi.org/10.1117/12.2534349

KEYWORDS: Phase contrast, Diffractive optical elements, Crystals, Refraction, Monochromators, Mammography, X-ray sources, Imaging systems

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Proceedings Article | 7 March 2019 Presentation + Paper

Presentation + Paper

Protocol development of paired-agent fluorescent imaging to detect micrometastases in resected breast lymph nodes

Chengyue Li, Veronica Torres, Xiaochun Xu, Yusairah Basheer, Husain Sattar, Jovan Brankov, Kenneth Tichauer

Proceedings Volume 10862, 108620U (2019) https://doi.org/10.1117/12.2513492

KEYWORDS: Lymphatic system, Cancer, Luminescence, Pathology, Tumors, Breast, Tissues, Breast cancer, Imaging systems, Biomedical engineering

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Proceedings Article | 26 February 2019 Presentation + Paper

Presentation + Paper

Characterization of lymph node optical properties for phantom fabrication

Veronica Torres, Todd Wilson, Chengyue Li, Lagnojita Sinha, Jovan Brankov, Kenneth Tichauer

Proceedings Volume 10868, 1086813 (2019) https://doi.org/10.1117/12.2513245

KEYWORDS: Lymphatic system, Optical properties, Scattering, Tissues, Tissue optics, Absorption, Optical imaging, Transmittance, Signal attenuation, Anisotropy

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Proceedings Article | 12 March 2018 Presentation + Paper

Presentation + Paper

A resampling comparison of CHO's detectability index bias and uncertainty

Francesc Massanes, Alexandre Ba, François Bochud, Jovan Brankov

Proceedings Volume 10577, 105770V (2018) https://doi.org/10.1117/12.2297689

KEYWORDS: Statistical analysis, Image quality, Medical imaging, Data modeling, Performance modeling, Diagnostics, Optimization (mathematics), Barium, Medical research, Physics

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Proceedings Article | 19 February 2018 Presentation + Paper

Presentation + Paper

Getting more early photons with less background: detection rate and signal-to-background improvements in enhanced early photon imaging

Lagnojita Sinha, Jovan Brankov, Kenneth Tichauer

Proceedings Volume 10486, 104860E (2018) https://doi.org/10.1117/12.2287182

KEYWORDS: Photons, Sensors, Signal detection, Tissue optics, Monte Carlo methods, Picosecond phenomena, Scattering, Tissues, Absorption, Image resolution

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Proceedings Article | 12 February 2018 Presentation + Paper

Presentation + Paper

Paired-agent fluorescent imaging to detect micrometastases in breast sentinel lymph node biopsy: experiment design and protocol development

Chengyue Li, Xiaochun Xu, Yusairah Basheer, Yusheng He, Husain Sattar, Jovan Brankov, Kenneth Tichauer

Proceedings Volume 10484, 1048402 (2018) https://doi.org/10.1117/12.2290985

KEYWORDS: Lymphatic system, Tumors, Cancer, Breast, Pathology, Green fluorescent protein, Biopsy, Microscopes, Breast cancer

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Proceedings Article | 10 March 2017 Paper

Paper

Evaluation of CNN as anthropomorphic model observer

Francesc Massanes, Jovan Brankov

Proceedings Volume 10136, 101360Q (2017) https://doi.org/10.1117/12.2254603

KEYWORDS: Convolutional neural networks, Molybdenum, Neural networks, Medical imaging, Machine learning, Image quality, Optimization (mathematics), Reconstruction algorithms, Imaging systems, Artificial neural networks, Data modeling, Performance modeling, Systems modeling, Feature extraction

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Proceedings Article | 9 March 2017 Presentation + Paper

Presentation + Paper

Simulation of a compact analyzer-based imaging system with a regular x-ray source

Oriol Caudevilla, Wei Zhou, Stanislav Stoupin, Boris Verman, J. Brankov

Proceedings Volume 10132, 101321P (2017) https://doi.org/10.1117/12.2254500

KEYWORDS: X-ray imaging, X-rays, X-ray sources, Phase contrast, Tissues, Imaging systems, Diffraction, Radiography, Mammography, Algorithm development, Crystals, Sensors, Photons, Monochromators, Absorption, Signal to noise ratio

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Proceedings Article | 16 September 2016 Presentation + Paper

Presentation + Paper

Simulation tools for analyzer-based x-ray phase contrast imaging system with a conventional x-ray source

Oriol Caudevilla, Wei Zhou, Stanislav Stoupin, Boris Verman, J. Brankov

Proceedings Volume 9964, 99640E (2016) https://doi.org/10.1117/12.2241205

KEYWORDS: X-ray imaging, X-rays, Phase contrast, Imaging systems, X-ray sources, Crystals, Sensors, Diffraction, Optical simulations, Photon counting

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Proceedings Article | 1 April 2016 Paper

Paper

Fast conjugate gradient algorithm extension for analyzer-based imaging reconstruction

Oriol Caudevilla, Jovan Brankov

Proceedings Volume 9783, 97834J (2016) https://doi.org/10.1117/12.2217164

KEYWORDS: Reconstruction algorithms, Phase contrast, Image restoration, Inverse problems, Computed tomography, Single photon emission computed tomography, Positron emission tomography, Optical coherence tomography, Medical imaging, Refraction, Crystals, Image analysis, Photons, Breast

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Proceedings Article | 24 March 2016 Paper

Paper

Machine-learning model observer for detection and localization tasks in clinical SPECT-MPI

Felipe Parages, J. Michael O'Connor, P. Hendrik Pretorius, Jovan Brankov

Proceedings Volume 9787, 97870W (2016) https://doi.org/10.1117/12.2217124

KEYWORDS: Image quality, Machine learning, Diagnostics, Single photon emission computed tomography, 3D image reconstruction, Bayesian inference, Image segmentation, Feature extraction, Image classification, Ions, Neodymium

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In this work we propose a machine-learning MO based on Naive-Bayes classification (NB-MO) for the diagnostic tasks of detection, localization and assessment of perfusion defects in clinical SPECT Myocardial Perfusion Imaging (MPI), with the goal of evaluating several image reconstruction methods used in clinical practice. NB-MO uses image features extracted from polar-maps in order to predict lesion detection, localization and severity scores given by human readers in a series of 3D SPECT-MPI. The population used to tune (i.e. train) the NB-MO consisted of simulated SPECT-MPI cases – divided into normals or with lesions in variable sizes and locations – reconstructed using filtered backprojection (FBP) method. An ensemble of five human specialists (physicians) read a subset of simulated reconstructed images, and assigned a perfusion score for each region of the left-ventricle (LV). Polar-maps generated from the simulated volumes along with their corresponding human scores were used to train five NB-MOs (one per human reader), which are subsequently applied (i.e. tested) on three sets of clinical SPECT-MPI polar maps, in order to predict human detection and localization scores. The clinical “testing” population comprises healthy individuals and patients suffering from coronary artery disease (CAD) in three possible regions, namely: LAD, LcX and RCA. Each clinical case was reconstructed using three reconstruction strategies, namely: FBP with no SC (i.e. scatter compensation), OSEM with Triple Energy Window (TEW) SC method, and OSEM with Effective Source Scatter Estimation (ESSE) SC. Alternative Free-Response (AFROC) analysis of perfusion scores shows that NB-MO predicts a higher human performance for scatter-compensated reconstructions, in agreement with what has been reported in published literature. These results suggest that NB-MO has good potential to generalize well to reconstruction methods not used during training, even for reasonably dissimilar datasets (i.e. simulated vs. clinical).

SPIE Journal Paper | 5 February 2016

Full receiver operating characteristic curve estimation using two alternative forced choice studies

Francesc Massanes, Jovan Brankov

JMI, Vol. 3, Issue 01, 011010, (February 2016) https://doi.org/10.1117/12.10.1117/1.JMI.3.1.011010

KEYWORDS: Statistical analysis, Epitaxial lateral overgrowth, Receivers, Error analysis, Diagnostics, Medical imaging, Image quality, Binary data, Computer simulations, Image restoration

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Task-based medical image quality is typically measured by the degree to which a human observer can perform a diagnostic task in a psychophysical human observer study. During a typical study, an observer is asked to provide a numerical score quantifying his confidence as to whether an image contains a diagnostic marker or not. Such scores are then used to measure the observers’ diagnostic accuracy, summarized by the receiver operating characteristic (ROC) curve and the area under ROC curve. These types of human studies are difficult to arrange, costly, and time consuming. In addition, human observers involved in this type of study should be experts on the image genre to avoid inconsistent scoring through the lengthy study. In two-alternative forced choice (2AFC) studies, known to be faster, two images are compared simultaneously and a single indicator is given. Unfortunately, the 2AFC approach cannot lead to a full ROC curve or a set of image scores. The aim of this work is to propose a methodology in which multiple rounds of the 2AFC studies are used to re-estimate an image confidence score (a.k.a. rating, ranking) and generate the full ROC curve. In the proposed approach, we treat image confidence score as an unknown rating that needs to be estimated and 2AFC as a two-player match game. To achieve this, we use the ELO rating system, which is used for calculating the relative skill levels of players in competitor-versus-competitor games such as chess. The proposed methodology is not limited to ELO, and other rating methods such as TrueSkill™, Chessmetrics, or Glicko can be also used. The presented results, using simulated data, indicate that a full ROC curve can be recovered using several rounds of 2AFC studies and that the best pairing strategy starts with the first round of pairing abnormal versus normal images (as in the classical 2AFC approach) followed by a number of rounds using random pairing. In addition, the proposed method was tested in a pilot human observer study. These pilot results indicate that three to five rounds of 2AFC studies require less human observer time than a full scoring study and that the re-estimated ROC curves and associated area under ROC curve values have high statistical agreement with the full scoring study.

Proceedings Article | 20 March 2015 Paper

Paper

Objective evaluation of methods to track motion from clinical cardiac-gated tagged MRI without the use of a gold standard

Felipe Parages, Thomas Denney, Jovan Brankov

Proceedings Volume 9416, 941616 (2015) https://doi.org/10.1117/12.2082228

KEYWORDS: Magnetic resonance imaging, Motion estimation, Heart, Motion models, Gold, Tissues, Statistical analysis, Error analysis, Motion measurement, Image registration

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SPIE Journal Paper | 11 November 2014

Noise properties and task-based evaluation of diffraction-enhanced imaging

Jovan Brankov, Alejandro Saiz-Herranz, Miles Wernick

JMI, Vol. 1, Issue 03, 033503, (November 2014) https://doi.org/10.1117/12.10.1117/1.JMI.1.3.033503

KEYWORDS: Refraction, Signal attenuation, Signal to noise ratio, Monte Carlo methods, X-rays, Statistical analysis, Blood vessels, Interference (communication), Imaging systems, Lung

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Proceedings Article | 5 September 2014 Paper

Paper

Phase contrast imaging using a micro focus x-ray source

Wei Zhou, Keivan Majidi, Jovan Brankov

Proceedings Volume 9207, 92070U (2014) https://doi.org/10.1117/12.2060749

KEYWORDS: Phase contrast, Crystals, X-ray sources, X-ray imaging, Tissues, Monochromators, Germanium, X-rays, Bone, Tungsten

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Proceedings Article | 11 March 2014 Paper

Paper

A Naive-Bayes model observer for detection and localization of perfusion defects in cardiac SPECT-MPI

Felipe Parages, J. Michael O’Connor, P. Hendrik Pretorius, Jovan Brankov

Proceedings Volume 9037, 90370N (2014) https://doi.org/10.1117/12.2044441

KEYWORDS: Image segmentation, Single photon emission computed tomography, Molybdenum, Medical imaging, Image quality, Reconstruction algorithms, Optimization (mathematics), Statistical analysis, 3D image processing, Feature extraction

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Proceedings Article | 11 March 2014 Paper

Paper

Human template estimation using a Gaussian processes algorithm

Francesc Massanes, Jovan Brankov

Proceedings Volume 9037, 90370Y (2014) https://doi.org/10.1117/12.2044442

KEYWORDS: Signal detection, Signal processing, Detection and tracking algorithms, Process modeling, Medical imaging, Sensors, Performance modeling, Tin, Interference (communication), Statistical modeling

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Proceedings Article | 28 March 2013 Paper

Paper

A preliminary comparison of different methods for observer performance estimation

Francesc Massanes, Jovan Brankov

Proceedings Volume 8673, 86730Z (2013) https://doi.org/10.1117/12.2007229

KEYWORDS: Statistical analysis, Data modeling, Signal to noise ratio, Quantization, Image quality, Medical imaging, Receivers, Surgery, Diagnostics, Image analysis

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Proceedings Article | 9 March 2012 Paper

Paper

Calculations of a SPECT projection operator on a graphical processing unit

Francesc Massanes, Jovan Brankov

Proceedings Volume 8313, 83133W (2012) https://doi.org/10.1117/12.911951

KEYWORDS: Signal attenuation, Thallium, Tomography, Scattering, Single photon emission computed tomography, Medical imaging, Image restoration, Collimators, 3D modeling, Computing systems

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Proceedings Article | 29 February 2012 Paper

Paper

Creation of an ensemble of simulated cardiac cases and a human observer study: tools for the development of numerical observers for SPECT myocardial perfusion imaging

J. Michael O'Connor, P. Hendrik Pretorius, Howard Gifford, Robert Licho, Samuel Joffe, Matthew McGuiness, Shannon Mehurg, Michael Zacharias, Jovan Brankov

Proceedings Volume 8318, 83180R (2012) https://doi.org/10.1117/12.911502

KEYWORDS: Monte Carlo methods, Single photon emission computed tomography, Image segmentation, Arteries, NOx, Computer simulations, Heart, Neodymium, Cardiology, Statistical analysis

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SPIE Journal Paper | 1 July 2011

Compute-unified device architecture implementation of a block-matching algorithm for multiple graphical processing unit cards

Francesc Massanes, Marie Cadennes, Jovan Brankov

JEI, Vol. 20, Issue 03, 033004, (July 2011) https://doi.org/10.1117/12.10.1117/1.3606588

KEYWORDS: Motion estimation, Image processing, Computer architecture, Image resolution, Video acceleration, Video, Optical flow, Video surveillance, Video coding, Visualization

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Proceedings Article | 3 March 2011 Paper

Paper

Incorporating holistic visual search concepts into a SPECT myocardial perfusion imaging numerical observer

J. Michael O'Connor, Howard Gifford, Jovan Brankov, P. Pretorius

Proceedings Volume 7966, 79660D (2011) https://doi.org/10.1117/12.877010

KEYWORDS: Single photon emission computed tomography, Visualization, Visual process modeling, Heart, Image processing, Image segmentation, Signal attenuation, Statistical analysis, Computer simulations, Computer aided diagnosis and therapy

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Proceedings Article | 3 March 2011 Paper

Paper

Channelized relevance vector machine as a numerical observer for cardiac perfusion defect detection task

Mahdi Kalayeh, Thibault Marin, P. Hendrik Pretorius, Miles Wernick, Yongyi Yang, Jovan Brankov

Proceedings Volume 7966, 79660E (2011) https://doi.org/10.1117/12.878176

KEYWORDS: Defect detection, Diagnostics, Data modeling, Image quality, Feature extraction, Single photon emission computed tomography, Medical imaging, Performance modeling, Machine learning, Bandpass filters

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Proceedings Article | 3 March 2011 Paper

Paper

Numerical observer for cardiac motion assessment using machine learning

Thibault Marin, Mahdi Kalayeh, P. Pretorius, Miles Wernick, Yongyi Yang, Jovan Brankov

Proceedings Volume 7966, 79660G (2011) https://doi.org/10.1117/12.878186

KEYWORDS: Motion estimation, Image filtering, Image quality, Single photon emission computed tomography, Feature extraction, Motion models, Diagnostics, Optical filters, Machine learning, Medical imaging

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Proceedings Article | 3 March 2011 Paper

Paper

Motion perception in medical imaging

Francesc Massanes, Jovan Brankov

Proceedings Volume 7966, 796610 (2011) https://doi.org/10.1117/12.878417

KEYWORDS: Medical imaging, Image quality, Visualization, Motion estimation, Single photon emission computed tomography, Mathematical modeling, Image processing, Motion models, Feature extraction, Spatial filters

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Proceedings Article | 19 March 2010 Paper

Paper

Development of a computational three-dimensional breast lesion phantom model

Luis de Sisternes, Adam Zysk, Jovan Brankov, Miles Wernick

Proceedings Volume 7622, 762205 (2010) https://doi.org/10.1117/12.844501

KEYWORDS: 3D modeling, Tumors, Breast, 3D image processing, Mammography, Tissues, Computer simulations, Optical spheres, X-ray imaging, Stochastic processes

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Proceedings Article | 19 March 2010 Paper

Paper

Contributions to ideal observer SNRs in propagation-based x-ray phase-contrast imaging

Mark Anastasio, Cheng-Ying Chou, Adam Zysk, Jovan Brankov

Proceedings Volume 7622, 76220S (2010) https://doi.org/10.1117/12.844489

KEYWORDS: X-rays, Signal detection, Signal to noise ratio, X-ray imaging, Imaging systems, Tissues, Absorption, Detection theory, Radio propagation, Signal attenuation

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Proceedings Article | 13 March 2010 Paper

Paper

4D reconstruction of cardiac gated SPECT images using a content-adaptive deformable mesh model

Thibault Marin, Miles Wernick, Yongyi Yang, Jovan Brankov

Proceedings Volume 7623, 76230E (2010) https://doi.org/10.1117/12.844004

KEYWORDS: Motion models, Reconstruction algorithms, Single photon emission computed tomography, Motion estimation, Image filtering, Spatial filters, Data modeling, Expectation maximization algorithms, Heart, Statistical modeling

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Proceedings Article | 27 February 2010 Paper

Paper

Personalized numerical observer

Jovan Brankov, P. Hendrik Pretorius

Proceedings Volume 7627, 76270T (2010) https://doi.org/10.1117/12.843852

KEYWORDS: Image quality, Performance modeling, Medical imaging, Receivers, Feature extraction, Imaging systems, Mathematical modeling, Image filtering, Single photon emission computed tomography, Data modeling

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Proceedings Article | 27 January 2010 Paper

Paper

Numerical observer for cardiac motion assessment

Jovan Brankov, Thibault Marin, P. Pretorius, Yongyi Yang, Miles Wernick

Proceedings Volume 7533, 75330G (2010) https://doi.org/10.1117/12.851736

KEYWORDS: Motion models, Single photon emission computed tomography, Feature extraction, Motion estimation, Medical imaging, Quality measurement, Image quality, Image filtering, Nuclear medicine, Diagnostics

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Proceedings Article | 27 March 2009 Paper

Paper

Motion-compensated post-processing of gated cardiac SPECT images using a deformable mesh model

Thibault Marin, Miles Wernick, Yongyi Yang, Jovan Brankov

Proceedings Volume 7259, 72592E (2009) https://doi.org/10.1117/12.812133

KEYWORDS: Single photon emission computed tomography, Motion estimation, Motion models, Image filtering, Denoising, Heart, Spatial filters, Diagnostics, Linear filtering, Image processing

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Proceedings Article | 14 March 2009 Paper

Paper

Analysis of the spectrum in phase-contrast mammography

Adam Zysk, Qiaofeng Xu, Luis de Sisternes, Jovan Brankov, Miles Wernick, Mark Anastasio

Proceedings Volume 7258, 72584E (2009) https://doi.org/10.1117/12.812146

KEYWORDS: Mammography, Breast, X-rays, Molybdenum, Absorption, Sensors, Tissues, X-ray imaging, Optical filters, Radiography

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Proceedings Article | 13 March 2009 Paper

Paper

Tests of scanning model observers for myocardial SPECT imaging

H. Gifford, P. Pretorius, J. Brankov

Proceedings Volume 7263, 72630R (2009) https://doi.org/10.1117/12.813906

KEYWORDS: Single photon emission computed tomography, Mathematical modeling, Signal detection, 3D modeling, Signal attenuation, Performance modeling, Image segmentation, Heart, Reconstruction algorithms, Computer aided diagnosis and therapy

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Proceedings Article | 18 March 2008 Paper

Paper

Mesh model 2D reconstruction operator for SPECT

Ricard Delgado Gonzalo, Jovan Brankov

Proceedings Volume 6913, 69132L (2008) https://doi.org/10.1117/12.770986

KEYWORDS: Signal attenuation, 3D modeling, Sensors, Tomography, Monte Carlo methods, Collimators, Single photon emission computed tomography, Reconstruction algorithms, Image restoration, Image filtering

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Proceedings Article | 26 February 2008 Paper

Paper

Progress in mesh based spatio-temporal reconstruction

Jovan Brankov, Ricard Delgado Gonzalo, Yongyi Yang, Mingwu Jin, Miles Wernick

Proceedings Volume 6814, 68140V (2008) https://doi.org/10.1117/12.776951

KEYWORDS: Signal attenuation, Tomography, Sensors, Single photon emission computed tomography, Monte Carlo methods, Data modeling, Collimators, Expectation maximization algorithms, Image restoration, Signal to noise ratio

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Proceedings Article | 7 September 2006 Paper

Paper

A comparison of a generalized DEI method with multiple-image radiography

Cheng-Ying Chou, Mark Anastasio, Jovan Brankov, Miles Wernick

Proceedings Volume 6318, 631819 (2006) https://doi.org/10.1117/12.681203

KEYWORDS: X-rays, Crystals, Absorption, Computed tomography, Sensors, X-ray imaging, Radiography, X-ray computed tomography, Tissues, Refraction

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Proceedings Article | 2 February 2006 Paper

Paper

Machine learning of human responses to images

Miles Wernick, Yongyi Yang, Jovan Brankov, Liyang Wei, Nikolas Galatsanos, Issam El-Naqa

Proceedings Volume 6065, 60650S (2006) https://doi.org/10.1117/12.658072

KEYWORDS: Machine learning, Databases, Image quality, Content based image retrieval, Data modeling, Complex systems, Diagnostics, Performance modeling, Medical imaging, Signal detection

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Proceedings Article | 2 February 2006 Paper

Paper

Progress in multiple-image radiography

Miles Wernick, Jovan Brankov, Dean Chapman, Yongyi Yang, Gocha Khelashvili, Mark Anastasio, Zhong Zhong, Christopher Parham, Jun Li, Carol Muehleman

Proceedings Volume 6065, 60650W (2006) https://doi.org/10.1117/12.658076

KEYWORDS: Radiography, Absorption, X-rays, X-ray imaging, Refraction, Tissues, Mammography, Scattering, Imaging systems, Crystals

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Proceedings Article | 26 October 2004 Paper

Paper

A preliminary study of multiple-image computed tomography

Miles Wernick, Jovan Brankov, Dean Chapman, Yongyi Yang, Carol Muehleman, Zhong Zhong, Mark Anastasio

Proceedings Volume 5535, (2004) https://doi.org/10.1117/12.560211

KEYWORDS: Scattering, X-rays, Refraction, Signal attenuation, Tomography, Reconstruction algorithms, X-ray imaging, Absorption, 3D image reconstruction, Computed tomography

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Proceedings Article | 26 October 2004 Paper

Paper

Noise analysis and image denoising for DEI

Miles Wernick, Jovan Brankov, Alejandro Saiz-Herranz

Proceedings Volume 5535, (2004) https://doi.org/10.1117/12.560203

KEYWORDS: Signal to noise ratio, Refraction, Monte Carlo methods, Filtering (signal processing), Image denoising, Diffraction, Crystals, Image filtering, Absorption, X-ray sources

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Proceedings Article | 1 July 2003 Paper

Paper

Content-adaptive mesh modeling for image restoration

Yongyi Yang, Jovan Brankov, Nikolas Galatsanos

Proceedings Volume 5016, (2003) https://doi.org/10.1117/12.479702

KEYWORDS: Image restoration, Data modeling, Image filtering, Image processing, Point spread functions, Electronic filtering, Motion models, Image analysis, Reconstruction algorithms, Chemical elements

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Showing 5 of 59 publications

Conference Committee Involvement (19)

Image Perception, Observer Performance, and Technology Assessment

16 February 2025 | San Diego, California, United States

Image Perception, Observer Performance, and Technology Assessment

20 February 2024 | San Diego, California, United States

Image Perception, Observer Performance, and Technology Assessment

21 February 2023 | San Diego, California, United States

Image Perception, Observer Performance, and Technology Assessment

20 February 2022 | San Diego, California, United States

Image Perception, Observer Performance, and Technology Assessment

15 February 2021 | Online Only, California, United States

Image Perception, Observer Performance, and Technology Assessment

19 February 2020 | Houston, Texas, United States

Image Perception, Observer Performance, and Technology Assessment

20 February 2019 | San Diego, California, United States

Image Perception, Observer Performance, and Technology Assessment

11 February 2018 | Houston, Texas, United States

Image Perception, Observer Performance, and Technology Assessment

12 February 2017 | Orlando, Florida, United States

Image Perception, Observer Performance, and Technology Assessment Posters

12 February 2017 | Orlando, FL, United States

Advances in Laboratory-based X-Ray Sources, Optics, and Applications V

30 August 2016 | San Diego, California, United States

Image Perception, Observer Performance, and Technology Assessment

2 March 2016 | San Diego, California, United States

Advances in Laboratory-based X-Ray Sources, Optics, and Applications IV

10 August 2015 | San Diego, California, United States

Image Perception, Observer Performance, and Technology Assessment

25 February 2015 | Orlando, Florida, United States

Image Perception, Observer Performance, and Technology Assessment

16 February 2014 | San Diego, California, United States

International Symposium on BIOMEDICAL IMAGING: From Nano to Macro

7 April 2013 |

Image Perception, Observer Performance, and Technology Assessment

10 February 2013 | Lake Buena Vista (Orlando Area), Florida, United States

IEEE Nuclear Science Symposium and Medical Imaging Conference

30 October 2012 |

Image Perception, Observer Performance, and Technology Assessment

8 February 2012 | San Diego, California, United States

Showing 5 of 19 Conference Committees

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