Marios A Gavrielides

Summary

Affiliation: Food and Drug Administration
Country: USA

Publications

  1. doi request reprint Information-theoretic approach for analyzing bias and variance in lung nodule size estimation with CT: a phantom study
    Marios A Gavrielides
    Division of Imaging and Applied Mathematics DIAM, Office of Science and Engineering Laboratories OSEL, Center for Devices and Radiological Health CDRH, U S Food and Drug Administration FDA, Silver Spring, MD 20993, USA
    IEEE Trans Med Imaging 29:1795-807. 2010
  2. doi request reprint Minimum detectable change in lung nodule volume in a phantom CT study
    Marios A Gavrielides
    Division of Imaging and Applied Mathematics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U S Food and Drug Administration, 10903 New Hampshire Avenue, Bldg 62, Rm 4114, Silver Spring, MD 20993 Electronic address
    Acad Radiol 20:1364-70. 2013
  3. doi request reprint Benefit of overlapping reconstruction for improving the quantitative assessment of CT lung nodule volume
    Marios A Gavrielides
    Division of Imaging and Applied Mathematics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, US Food and Drug Administration, 10903 New Hampshire Avenue, Building 62, Room 4114, Silver Spring, MD 20993, USA
    Acad Radiol 20:173-80. 2013
  4. pmc Noncalcified lung nodules: volumetric assessment with thoracic CT
    Marios A Gavrielides
    National Institute of Biomedical Imaging and Bioengineering Center for Devices and Radiological Health, U S Food and Drug Administration, Silver Spring, MD 20993 0002, USA
    Radiology 251:26-37. 2009
  5. doi request reprint Observer variability in the interpretation of HER2/neu immunohistochemical expression with unaided and computer-aided digital microscopy
    Marios A Gavrielides
    Division of Imaging and Applied Mathematics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, Maryland 20993, USA
    Arch Pathol Lab Med 135:233-42. 2011
  6. pmc A resource for the assessment of lung nodule size estimation methods: database of thoracic CT scans of an anthropomorphic phantom
    Marios A Gavrielides
    Division of Imaging and Mathematics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U S Food and Drug Administration, Silver Spring, MD, USA
    Opt Express 18:15244-55. 2010
  7. doi request reprint Impact of Reconstruction Algorithms and Gender-Associated Anatomy on Coronary Calcium Scoring with CT: An Anthropomorphic Phantom Study
    Qin Li
    U S Food and Drug Administration, CDRH OSEL DIDSR, 10903 New Hampshire Ave, Bldg 62 Rm 4110, Silver Spring, MD 20993 Electronic address
    Acad Radiol 23:1470-1479. 2016
  8. pmc Volume estimation of multidensity nodules with thoracic computed tomography
    Marios A Gavrielides
    U S Food and Drug Administration, Division of Imaging, Diagnostics, and Software Reliability DIDSR, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, 10903 New Hampshire Avenue, Building 62, Room 4126, Silver Spring, Maryland 20993, United States
    J Med Imaging (Bellingham) 3:013504. 2016
  9. doi request reprint Statistical analysis of lung nodule volume measurements with CT in a large-scale phantom study
    Qin Li
    Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, Maryland 20993
    Med Phys 42:3932-47. 2015
  10. doi request reprint Estimating local noise power spectrum from a few FBP-reconstructed CT scans
    Rongping Zeng
    Division of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, CDRH, FDA, Silver Spring, Maryland 20993
    Med Phys 43:568. 2016

Collaborators

Detail Information

Publications16

  1. doi request reprint Information-theoretic approach for analyzing bias and variance in lung nodule size estimation with CT: a phantom study
    Marios A Gavrielides
    Division of Imaging and Applied Mathematics DIAM, Office of Science and Engineering Laboratories OSEL, Center for Devices and Radiological Health CDRH, U S Food and Drug Administration FDA, Silver Spring, MD 20993, USA
    IEEE Trans Med Imaging 29:1795-807. 2010
    ..This work could potentially lead to better understanding of sources of error in the task of lung nodule size measurements and may lead to new techniques to account for those errors...
  2. doi request reprint Minimum detectable change in lung nodule volume in a phantom CT study
    Marios A Gavrielides
    Division of Imaging and Applied Mathematics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U S Food and Drug Administration, 10903 New Hampshire Avenue, Bldg 62, Rm 4114, Silver Spring, MD 20993 Electronic address
    Acad Radiol 20:1364-70. 2013
    ..The change in volume of lung nodules is being examined as a measure of response to treatment. The aim of this study was to determine the minimum detectable change in nodule volume with the use of computed tomography...
  3. doi request reprint Benefit of overlapping reconstruction for improving the quantitative assessment of CT lung nodule volume
    Marios A Gavrielides
    Division of Imaging and Applied Mathematics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, US Food and Drug Administration, 10903 New Hampshire Avenue, Building 62, Room 4114, Silver Spring, MD 20993, USA
    Acad Radiol 20:173-80. 2013
    ..The aim of this study was to quantify the effect of overlapping reconstruction on the precision and accuracy of lung nodule volume estimates in a phantom computed tomographic (CT) study...
  4. pmc Noncalcified lung nodules: volumetric assessment with thoracic CT
    Marios A Gavrielides
    National Institute of Biomedical Imaging and Bioengineering Center for Devices and Radiological Health, U S Food and Drug Administration, Silver Spring, MD 20993 0002, USA
    Radiology 251:26-37. 2009
    ....
  5. doi request reprint Observer variability in the interpretation of HER2/neu immunohistochemical expression with unaided and computer-aided digital microscopy
    Marios A Gavrielides
    Division of Imaging and Applied Mathematics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, Maryland 20993, USA
    Arch Pathol Lab Med 135:233-42. 2011
    ..A reduction in observer variability using computer aids could enhance the statistical power of studies designed to determine the utility of new biomarkers and accelerate their incorporation in clinical practice...
  6. pmc A resource for the assessment of lung nodule size estimation methods: database of thoracic CT scans of an anthropomorphic phantom
    Marios A Gavrielides
    Division of Imaging and Mathematics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U S Food and Drug Administration, Silver Spring, MD, USA
    Opt Express 18:15244-55. 2010
    ..This resource complements public databases of clinical data and will contribute towards the development of procedures that will maximize the utility of CT imaging for lung cancer screening and tumor therapy evaluation...
  7. doi request reprint Impact of Reconstruction Algorithms and Gender-Associated Anatomy on Coronary Calcium Scoring with CT: An Anthropomorphic Phantom Study
    Qin Li
    U S Food and Drug Administration, CDRH OSEL DIDSR, 10903 New Hampshire Ave, Bldg 62 Rm 4110, Silver Spring, MD 20993 Electronic address
    Acad Radiol 23:1470-1479. 2016
    ..The aim of this work was to determine the impact of reconstruction algorithm and gender characteristics on coronary artery calcium scoring based on a phantom study using computed tomography...
  8. pmc Volume estimation of multidensity nodules with thoracic computed tomography
    Marios A Gavrielides
    U S Food and Drug Administration, Division of Imaging, Diagnostics, and Software Reliability DIDSR, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, 10903 New Hampshire Avenue, Building 62, Room 4126, Silver Spring, Maryland 20993, United States
    J Med Imaging (Bellingham) 3:013504. 2016
    ..These findings provide information for understanding uncertainty in volumetry of nodules that include multiple densities such as ground glass opacities with a solid component. ..
  9. doi request reprint Statistical analysis of lung nodule volume measurements with CT in a large-scale phantom study
    Qin Li
    Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, Maryland 20993
    Med Phys 42:3932-47. 2015
    ....
  10. doi request reprint Estimating local noise power spectrum from a few FBP-reconstructed CT scans
    Rongping Zeng
    Division of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, CDRH, FDA, Silver Spring, Maryland 20993
    Med Phys 43:568. 2016
    ..The purpose of this work is to develop a method to estimate local NPS using only a few fan-beam CT scans...
  11. doi request reprint Volume estimation of low-contrast lesions with CT: a comparison of performances from a phantom study, simulations and theoretical analysis
    Qin Li
    Division of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD 20993, USA
    Phys Med Biol 60:671-88. 2015
    ..The difference between the bounds is rather small (for SPE less than 1.9%) indicating that the theoretical- and simulation-based performance bounds can be good surrogates for physical phantom studies. ..
  12. doi request reprint Approximations of noise covariance in multi-slice helical CT scans: impact on lung nodule size estimation
    Rongping Zeng
    US Food and Drug Administration, Center for Devices and Radiological Health, Office of Science and Engineering Laboratories, Division of Imaging and Applied Mathematics, 10903 New Hampshire Ave, Silver Spring, MD 20993, USA
    Phys Med Biol 56:6223-42. 2011
    ..When taking into account computational costs in determining noise characterizations, the NPS model may be the most efficient approximation to the MSCT noise covariance matrix...
  13. doi request reprint Comparison of 1D, 2D, and 3D nodule sizing methods by radiologists for spherical and complex nodules on thoracic CT phantom images
    Nicholas Petrick
    Center for Devices and Radiological Health, U S Food and Drug Administration, WO62 4118, 10903 New Hampshire Avenue, Silver Spring, MD 20993 0002 Electronic address
    Acad Radiol 21:30-40. 2014
    ..To estimate and statistically compare the bias and variance of radiologists measuring the size of spherical and complex synthetic nodules...
  14. pmc Volumetry of low-contrast liver lesions with CT: Investigation of estimation uncertainties in a phantom study
    Qin Li
    Division of Imaging, Diagnostics and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, Maryland 20993
    Med Phys 43:6608. 2016
    ..To evaluate the performance of lesion volumetry in hepatic CT as a function of various imaging acquisition parameters...
  15. pmc Observer performance in the use of digital and optical microscopy for the interpretation of tissue-based biomarkers
    Marios A Gavrielides
    Division of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U S Food and Drug Administration, Silver Spring, MD 20993, USA
    Anal Cell Pathol (Amst) 2014:157308. 2014
    ..We conducted a validation study of digital pathology for the quantitative assessment of tissue-based biomarkers with immunohistochemistry...