Research Topics
| Marios A GavrielidesSummaryAffiliation: Food and Drug Administration Country: USA Publications
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Detail Information
Publications
Information-theoretic approach for analyzing bias and variance in lung nodule size estimation with CT: a phantom studyMarios 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...
Benefit of overlapping reconstruction for improving the quantitative assessment of CT lung nodule volumeMarios 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...
Noncalcified lung nodules: volumetric assessment with thoracic CTMarios 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....
A resource for the assessment of lung nodule size estimation methods: database of thoracic CT scans of an anthropomorphic phantomMarios 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...
Observer variability in the interpretation of HER2/neu immunohistochemical expression with unaided and computer-aided digital microscopyMarios 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...
Approximations of noise covariance in multi-slice helical CT scans: impact on lung nodule size estimationRongping 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...
