Dr. Marios A. Gavrielides Profile

Dr. Marios A. Gavrielides

Diagnostic Computer Vision Leader at AstraZeneca Pharmaceuticals LP

SPIE Involvement:

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

Area of Expertise:

volumetric CT , digital pathology , computer-aided diagnosis

Profile Summary

Marios A. Gavrielides received B.S. and M.S. degrees in Electrical Engineering from the University of South Florida, in 1994 and 1996 respectively, and a Ph.D. degree in Biomedical Engineering from Duke University in 2001. From 2002 to 2004, he was a postdoctoral researcher at the Department of Informatics, Aristotle University of Thessaloniki, Greece. From 2004-2009, he was a NIBIB/CDRH fellow with the Division of Imaging and Applied Mathematics (DIAM), Office of Science and Engineering Laboratories, Center for Devices and Radiological Health (CDRH), at the U.S. Food and Drug Administration (FDA) in Silver Spring, Maryland. Since 2009 he is a staff scientist at DIAM, currently re-organized to the Division of Imaging, Diagnostics, and Software Reliability. His research interests include the development and assessment of quantitative imaging methodologies, with emphasis on volumetric thoracic computed tomography, digital pathology, and computer-aided diagnosis. In 2015, he was the recipient of the CDRH Excellence in Scientific Research Award.

Publications (30)

SPIE Journal Paper | 31 October 2023 Open Access

Open Access

Special Section Editorial: Artificial Intelligence for Medical Imaging in Clinical Practice

Claudia Mello-Thoms, Karen Drukker, Sian Taylor-Phillips, Khan Iftekharuddin, Marios Gavrielides

JMI, Vol. 10, Issue 05, 051801, (October 2023) https://doi.org/10.1117/12.10.1117/1.JMI.10.5.051801

KEYWORDS: Artificial intelligence, Medical imaging, Clinical practice, Pathology, Lung, Imaging devices, Cardiovascular magnetic resonance imaging, Cancer detection, Breast cancer, 3D image enhancement

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SPIE Journal Paper | 8 May 2021 Open Access

Open Access

SPIE-AAPM-NCI BreastPathQ Challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment

Nicholas Petrick, Shazia Akbar, Kenny H. Cha, Sharon Nofech-Mozes, Berkman Sahiner, Marios Gavrielides, Jayashree Kalpathy-Cramer, Karen Drukker, Anne L. Martel, for the BreastPathQ Challenge Group

JMI, Vol. 8, Issue 03, 034501, (May 2021) https://doi.org/10.1117/12.10.1117/1.JMI.8.3.034501

KEYWORDS: Image analysis, Tumors, Computer science, Breast cancer, Medicine, Medical imaging, Cancer, Pathology, Artificial intelligence, Algorithm development

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Proceedings Article | 4 March 2019 Paper

Paper

Data transformations for variance stabilization in the statistical assessment of quantitative imaging biomarkers

Qi Gong, Qin Li, Marios Gavrielides, Nicholas Petrick

Proceedings Volume 10952, 109520Z (2019) https://doi.org/10.1117/12.2507295

KEYWORDS: Lung, Computer simulations, Computed tomography, Data modeling, Statistical analysis

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Proceedings Article | 6 March 2018 Paper

Paper

Registration accuracy between whole slide images and glass slides in eeDAP workflow

Qi Gong, Benjamin Berman, Marios Gavrielides, Brandon Gallas

Proceedings Volume 10581, 1058118 (2018) https://doi.org/10.1117/12.2293189

KEYWORDS: Image registration, Microscopes, Reticles, Pathology

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Proceedings Article | 27 February 2018 Paper

Paper

Quantitative characterization of liver tumor radiodensity in CT images: a phantom study between two scanners

Benjamin Paul Berman, Qin Li, Sarah McKenney, Stanley Thomas Fricke, Yuan Fang, Marios Gavrielides, Nicholas Petrick

Proceedings Volume 10575, 105753H (2018) https://doi.org/10.1117/12.2293190

KEYWORDS: Tumors, Scanners, Computed tomography, Liver, Imaging systems, Diagnostics, 3D printing

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Proceedings Article | 9 March 2017 Paper

Paper

Estimation of non-solid lung nodule volume with low-dose CT protocols: effect of reconstruction algorithm and measurement method

Marios Gavrielides, Gino DeFilippo, Benjamin Berman, Qin Li, Nicholas Petrick, Kurt Schultz, Jenifer Siegelman

Proceedings Volume 10132, 101322P (2017) https://doi.org/10.1117/12.2255982

KEYWORDS: Lung, Reconstruction algorithms, Image segmentation, Computed tomography, Opacity, 3D modeling, Error analysis, Statistical analysis, Image processing

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Proceedings Article | 3 March 2017 Presentation + Paper

Presentation + Paper

The effects of iterative reconstruction in CT on low-contrast liver lesion volumetry: a phantom study

Qin Li, Benjamin Berman, Justin Schumacher, Yongguang Liang, Marios Gavrielides, Hao Yang, Binsheng Zhao, Nicholas Petrick

Proceedings Volume 10134, 101340Z (2017) https://doi.org/10.1117/12.2255743

KEYWORDS: Liver, Reconstruction algorithms, Signal to noise ratio, Computed tomography, Abdomen, Quantitative analysis, Model-based design, Signal detection, Tumors, Statistical modeling, Error analysis, Data modeling

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Proceedings Article | 30 March 2016 Paper

Paper

Calcium scoring with dual-energy CT in men and women: an anthropomorphic phantom study

Qin Li, Songtao Liu, Kyle Myers, Marios Gavrielides, Rongping Zeng, Berkman Sahiner, Nicholas Petrick

Proceedings Volume 9783, 978346 (2016) https://doi.org/10.1117/12.2216105

KEYWORDS: Calcium, Reconstruction algorithms, Arteries, Modulation transfer functions, Heart, Breast, Cardiovascular magnetic resonance imaging, Cones, Computed tomography, Scanners, Denoising, Image segmentation, Silver

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Proceedings Article | 25 March 2016 Paper

Paper

Detectable change of lung nodule volume with CT in a phantom study with high and low signal to background contrast

Marios Gavrielides, Qin Li, Rongping Zeng, Qi Gong, Kyle Myers, Berkman Sahiner, Nicholas Petrick

Proceedings Volume 9783, 978329 (2016) https://doi.org/10.1117/12.2217887

KEYWORDS: Quantitative analysis, Tumor growth modeling, Lung, Computed tomography, X-ray imaging, Computer simulations, Signal detection, Scanners, Reconstruction algorithms, Medical imaging, Analytical research, Tissues

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SPIE Journal Paper | 29 January 2016

Volume estimation of multidensity nodules with thoracic computed tomography

Marios Gavrielides, Qin Li, Rongping Zeng, Kyle Myers, Berkman Sahiner, Nicholas Petrick

JMI, Vol. 3, Issue 01, 013504, (January 2016) https://doi.org/10.1117/12.10.1117/1.JMI.3.1.013504

KEYWORDS: Computed tomography, Error analysis, Collimation, Lung, Spherical lenses, Model-based design, Statistical analysis, Solids, Image segmentation, Manufacturing

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Proceedings Article | 20 March 2015 Paper

Paper

Factors affecting uncertainty in lung nodule volume estimation with CT: comparisons of findings from two estimation methods in a phantom study

Qin Li, Marios Gavrielides, Rongping Zeng, Kyle Myers, Berkman Sahiner, Nicholas Petrick

Proceedings Volume 9414, 94140C (2015) https://doi.org/10.1117/12.2081489

KEYWORDS: Collimation, Lung, Image segmentation, Computed tomography, Factor analysis, Error analysis, Scanners, Data modeling, Reconstruction algorithms, Scatter measurement

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This work aimed to compare two different types of volume estimation methods (a model-based and a segmentationbased method) in terms of identifying factors affecting measurement uncertainty. Twenty-nine synthetic nodules with varying size, radiodensity, and shape were placed in an anthropomorphic thoracic phantom and scanned with a 16- detector row CT scanner. Ten repeat scans were acquired using three exposures and two slice collimations, and were reconstructed with varying slice thicknesses. Nodule volumes were estimated from the reconstructed data using a matched-filter and a segmentation approach. Log transformed volumes were used to obtain measurement error with truth obtained through micro-CT. ANOVA and multiple linear regression were applied to measurement error to identify significant factors affecting volume estimation for each method. Root mean square of measurement errors (RMSE) for meaningful subgroups, repeatability coefficients (RC) for different imaging protocols, and reproducibility coefficients (RDC) for thin and thick collimation conditions were evaluated. Results showed that for both methods, nodule size, shape and slice thickness were significant factors. Collimation was significant for the matched-filter method. RMSEs for matched-filter measurements were in general smaller than segmentation. To achieve RMSE on the order of 15% or less for {5, 8, 9, 10mm} nodules, the corresponding maximum allowable slice thicknesses were {3, 5, 5, 5mm} for the matched-filter and {0.8, 3, 3, 3mm} for the segmentation method. RCs showed similar patterns for both methods, increasing with slice thickness. For 8-10mm nodules, the measurements were highly repeatable provided the slice thickness was ≤3mm, regardless of method and across varying acquisition conditions. RDCs were lower for thin collimation than thick collimation protocols. While RDC of matched filter volume estimation results was always lower than segmentation results, for 8-10mm nodules with thin collimation protocols, the measurements for both approaches were highly reproducible (RDC on the order of 15% or less). These findings are valuable for validating lung nodule volume as a quantitative imaging biomarker.

Proceedings Article | 19 March 2015 Paper

Paper

Uncertainty in the assessment of immunohistochemical staining with optical and digital microscopy: lessons from a reader study

Marios Gavrielides, Brandon Gallas, Stephen Hewitt

Proceedings Volume 9420, 94200V (2015) https://doi.org/10.1117/12.2082243

KEYWORDS: Optical microscopy, Tissue optics, Pathology, Diagnostics, Microscopy, Microscopes, Breast cancer, Calibration, Light, Tissues

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Proceedings Article | 19 March 2015 Paper

Paper

Inter-observer variability in the classification of ovarian cancer cell type using microscopy: a pilot study

Marios Gavrielides, Brigitte Ronnett, Russell Vang, Jeffrey Seidman

Proceedings Volume 9420, 94200D (2015) https://doi.org/10.1117/12.2082264

KEYWORDS: Ovarian cancer, Pathology, Tumors, Microscopy, Optical microscopy, Computer aided diagnosis and therapy, Silver, Computer aided design, Image classification, Applied mathematics

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SPIE Journal Paper | 12 November 2014 Open Access

Open Access

Evaluation environment for digital and analog pathology: a platform for validation studies

Brandon Gallas, Marios Gavrielides, Catherine Conway, Adam Ivansky, Tyler Keay, Wei-Chung Cheng, Jason Hipp, Stephen Hewitt

JMI, Vol. 1, Issue 03, 037501, (November 2014) https://doi.org/10.1117/12.10.1117/1.JMI.1.3.037501

KEYWORDS: Microscopes, Image registration, Cameras, Pathology, Analog electronics, Glasses, Reticles, MATLAB, Tissues, Imaging systems

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Proceedings Article | 19 March 2014 Paper

Paper

Volume estimation of multi-density nodules with thoracic CT

Marios Gavrielides, Qin Li, Rongping Zeng, Kyle Myers, Berkman Sahiner, Nicholas Petrick

Proceedings Volume 9033, 903331 (2014) https://doi.org/10.1117/12.2043833

KEYWORDS: Computed tomography, Lung, Collimation, Image processing, Inflammation, Biological research, Manufacturing, Optical spheres, Data modeling, Spherical lenses

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Proceedings Article | 11 March 2014 Paper

Paper

eeDAP: an evaluation environment for digital and analog pathology

Brandon Gallas, Wei-Chung Cheng, Marios Gavrielides, Adam Ivansky, Tyler Keay, Adam Wunderlich, Jason Hipp, Stephen Hewitt

Proceedings Volume 9037, 903709 (2014) https://doi.org/10.1117/12.2044443

KEYWORDS: Microscopes, Cameras, Image registration, Pathology, Reticles, Glasses, Analog electronics, Tissues, MATLAB, Transmittance

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Proceedings Article | 29 March 2013 Paper

Paper

Assessing color reproducibility of whole-slide imaging scanners

Wei-Chung Cheng, Tyler Keay, Neil O'Flaherty, Joel Wang, Adam Ivansky, Marios Gavrielides, Brandon Gallas, Aldo Badano

Proceedings Volume 8676, 86760O (2013) https://doi.org/10.1117/12.2007215

KEYWORDS: Scanners, Color management, Transmittance, Color difference, Light sources, Imaging systems, Digital imaging, Photography, Glasses, Field programmable gate arrays

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Proceedings Article | 4 March 2011 Paper

Paper

Evaluation of 1D, 2D and 3D nodule size estimation by radiologists for spherical and non-spherical nodules through CT thoracic phantom imaging

Nicholas Petrick, Hyun J. Grace Kim, David Clunie, Kristin Borradaile, Robert Ford, Rongping Zeng, Marios Gavrielides, Michael McNitt-Gray, Charles Fenimore, Z. Q. John Lu, Binsheng Zhao, Andrew Buckler

Proceedings Volume 7963, 79630D (2011) https://doi.org/10.1117/12.878265

KEYWORDS: Computed tomography, 3D metrology, X-ray computed tomography, Spherical lenses, Lung, Scanners, Lung cancer, Imaging systems, 3D image processing, Data acquisition

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Proceedings Article | 9 March 2010 Paper

Paper

Micro CT based truth estimation of nodule volume

L. Kinnard, M. Gavrielides, K. Myers, R. Zeng, B. Whiting, S. Lin-Gibson, N. Petrick

Proceedings Volume 7624, 762414 (2010) https://doi.org/10.1117/12.844381

KEYWORDS: Computed tomography, Image segmentation, Spherical lenses, 3D image processing, Lung, Error analysis, Tumors, CT reconstruction, Image processing, Manufacturing

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Proceedings Article | 9 March 2010 Paper

Paper

Approximations of noise structures in helical multi-detector CT scans: application to lung nodule volume estimation

Rongping Zeng, Nicholas Petrick, Marios Gavrielides, Kyle Myers

Proceedings Volume 7624, 762415 (2010) https://doi.org/10.1117/12.844216

KEYWORDS: Computed tomography, Statistical analysis, Lung, Signal to noise ratio, 3D image processing, Computer simulations, X-ray computed tomography, Image processing, Reconstruction algorithms, Error analysis

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Proceedings Article | 9 March 2010 Paper

Paper

FDA phantom CT database: a resource for the assessment of lung nodule size estimation methodologies and software development

Marios Gavrielides, Lisa Kinnard, Kyle Myers, Rongping Zeng, Nicholas Petrick

Proceedings Volume 7624, 762417 (2010) https://doi.org/10.1117/12.844329

KEYWORDS: Computed tomography, Databases, Lung, Spherical lenses, Software development, Collimation, Scanners, Biomedical optics, Image analysis, Reconstruction algorithms

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Proceedings Article | 28 February 2009 Paper

Paper

A template-based approach for the analysis of lung nodules in a volumetric CT phantom study

Marios Gavrielides, Rongping Zeng, Lisa Kinnard, Kyle Myers, Nicholas Petrick

Proceedings Volume 7260, 726009 (2009) https://doi.org/10.1117/12.813560

KEYWORDS: Lung, Error analysis, Computed tomography, Reconstruction algorithms, Image filtering, Scanners, Sensors, Imaging systems, 3D metrology, X-ray computed tomography

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Proceedings Article | 17 March 2008 Paper

Paper

Volume error analysis for lung nodules attached to pulmonary vessels in an anthropomorphic thoracic phantom

Lisa Kinnard, Marios Gavrielides, Kyle Myers, Rongping Zeng, Jennifer Peregoy, William Pritchard, John Karanian, Nicholas Petrick

Proceedings Volume 6915, 69152Q (2008) https://doi.org/10.1117/12.773039

KEYWORDS: Error analysis, Lung, X-ray computed tomography, Spherical lenses, X-rays, Image restoration, Tumors, Computed tomography, Medical imaging, Cancer

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Proceedings Article | 21 February 2008 Paper

Paper

Regulatory perspectives and research activities at the FDA on the use of phantoms with in vivo diagnostic devices

Anant Agrawal, Marios Gavrielides, Sandy Weininger, Kish Chakrabarti, Joshua Pfefer

Proceedings Volume 6870, 687005 (2008) https://doi.org/10.1117/12.768537

KEYWORDS: Mammography, Standards development, Oximeters, Optical diagnostics, Image quality, X-ray computed tomography, Imaging systems, Computed tomography, Oximetry, Manufacturing

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Proceedings Article | 30 March 2007 Paper

Paper

Automated alignment of serial thoracic scans using bone structure descriptors

Marios Gavrielides, Nicholas Petrick, Kyle Myers

Proceedings Volume 6514, 65143C (2007) https://doi.org/10.1117/12.711506

KEYWORDS: Spinal cord, Bone, Lung, Computed tomography, Image segmentation, Detection and tracking algorithms, Computer aided diagnosis and therapy, Image processing algorithms and systems, Computing systems, Feature extraction

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Proceedings Article | 10 March 2006 Paper

Paper

Alignment of full and partial CT thoracic scans using bony structures

Marios Gavrielides, Nicholas Petrick, Kyle Myers

Proceedings Volume 6144, 61443A (2006) https://doi.org/10.1117/12.655333

KEYWORDS: Computed tomography, Lung, Image segmentation, Algorithm development, Chromium, Computing systems, Diagnostics, X-ray computed tomography, Computer aided diagnosis and therapy, Detection and tracking algorithms

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Proceedings Article | 15 May 2003 Paper

Paper

Computer-aided classification of breast microcalcification clusters: merging of features from image processing and radiologists

Joseph Lo, Marios Gavrielides, Mia Markey, Jonathan Jesneck

Proceedings Volume 5032, (2003) https://doi.org/10.1117/12.480869

KEYWORDS: Image processing, Data modeling, Biopsy, Computer aided diagnosis and therapy, Breast, Performance modeling, Feature extraction, Mammography, Databases, Image segmentation

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Proceedings Article | 7 May 1997 Paper

Paper

Workstation interface for ROC studies in digital mammography

Himanshu Gohel, Maria Kallergi, Michal Vossberg, Marios Gavrielides, Laurence Clarke, Jerry Thomas

Proceedings Volume 3031, (1997) https://doi.org/10.1117/12.273922

KEYWORDS: Digital mammography, Mammography, Computer aided design, Computer aided diagnosis and therapy, Sun, Human-machine interfaces, Control systems, Software development, Image resolution, Visualization

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Proceedings Article | 2 May 1997 Paper

Paper

Evaluation of a CCD-based film digitizer for digital mammography

Maria Kallergi, Marios Gavrielides, William Gross, Laurence Clarke

Proceedings Volume 3032, (1997) https://doi.org/10.1117/12.273995

KEYWORDS: Digital imaging, Spatial resolution, Scanners, Digital mammography, Absorbance, Image resolution, Mammography, Image quality, CCD cameras, Charge-coupled devices

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Proceedings Article | 25 April 1997 Paper

Paper

Automatic shape analysis and classification of mammographic calcifications

Marios Gavrielides, Maria Kallergi, Laurence Clarke

Proceedings Volume 3034, (1997) https://doi.org/10.1117/12.274175

KEYWORDS: Shape analysis, Mammography, Image segmentation, Image resolution, Computer simulations, Spatial resolution, Image classification, Biopsy, Breast cancer, Binary data

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Showing 5 of 30 publications

Conference Committee Involvement (14)

Digital and Computational Pathology

16 February 2025 | San Diego, California, United States

Digital and Computational Pathology

19 February 2024 | San Diego, California, United States

Digital and Computational Pathology

20 February 2023 | San Diego, California, United States

Digital and Computational Pathology

20 February 2022 | San Diego, California, United States

Digital and Computational Pathology

15 February 2021 | Online Only, California, United States

Showing 5 of 14 Conference Committees

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