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UCLA Radiology


Faculty Directory


Michael McNitt-Gray, PhD, DABR

Professor of Radiology, Thoracic Imaging Section
Director of Biomedical Physics Graduate Program

Thoracic Imaging


Professional Training & Experience

  • Professor of Radiology, David Geffen School of Medicine at UCLA, Los Angeles CA, Present
    Director, Biomedical Physics Graduate Program, UCLA Biomedical Physics
    Chair, MESA Project, Helical CT Subcommittee of the CT Imaging Committee
    Committee Member on CT Image Quality and Radiation Dose, International Commission on Radiological Units & Measurement (ICRU)
  • Graduate Faculty Advisor, UCLA Biomedical Physics, 2002-2004
  • ABR Certification: Diagnostic Radiological Physics, 1998
  • Assistant Professor of Radiology, UCLA Radiological Sciences, 1994-2001
  • Postdoctoral Research Fellow, Thoracic Radiology, UCLA Radiological Sciences, 1993-1994
  • Doctor of Philosophy, Biomedical Physics, UCLA Medical School, Los Angeles CA, 1993
  • Instructor, Electrical Engineering, Pennsylvania State University, University Park PA, 1985-1988
  • Project Engineer, North Carolina Alternative Energy Corp., Res. Tri. Park, NC, 1984-1985
  • Assistant Engineer, American Electric Power Service Corp., Columbus OH, 1981-1984
  • Master of Science, Electrical Engineering, Carnegie-Mellon University, Pittsburgh PA, 1980

Research Interests

Dr. McNitt-Gray’s research interests involve investigations into X-ray computed tomography (CT) imaging with the goal of maximizing the information that can be extracted from the resulting image data. These activities include research into:
  • The physics of CT image acquisition including estimating radiation dose and assessing image quality
  • Image processing techniques to analyze and extract information from the CT image data, including computer aided detection and diagnosis (CAD)
www.bmp.ucla.edu | www.medqia.org

Current Research Projects

  • Monte Carlo Based Patient Radiation Dose from CT
    The long-term goal of this research is to create methods to an accurately estimate radiation dose to patients undergoing CT scanning. We propose a Monte Carlo-based modeling approach that overcomes the limitations of previous methods by accurately modeling MultiDetector CT source characteristics, the effects of different scan parameters and realistic patient models of different sizes, ages and genders. This project represents collaboration between investigators at the David Geffen School of Medicine at UCLA, the University of Texas MD Anderson Cancer Center in Houston, Tx and the Mayo Clinic, Rochester, MN
  • National Lung Screening Trial
  • Lung Imaging Database Consortium (LIDC)
  • Multi-Ethnicity Study of Athlerosclerosis (MESA)

Selected Awards & Honors

  • 2007: Certificate of Merit: Education Exhibits. Report of CT Dose Indices Derived from Measurements Made on all Multi-Detector Row CT Scanners Used in the National Lung Screening Trial (NLST) . Cody, D., Cagnon, C., Larke, F., McNitt-Gray, M., Kruger, R., Flynn, M. et al Abstract. Radiological Society of North America
  • 2006: SPIE Cum Laude Award for the Best Poster in the Special Session on Computer-Aided Diagnosis. The Influence of CT Dose and Reconstruction Parameters on Automated Detection of Small Pulmonary Nodules. R. Ochs, E. Angel, K. L. Boedeker, I. Petkovska, C. Panknin, J. G. Goldin, D. R. Aberle, M. F. McNitt-Gray, M. S. Brown. SPIE Medical Imaging Conference.
  • 2003: Certificate of Merit: Education Exhibits. The Lung Image Database Consortium: Fundamental Issues for the Creation of a Resource for the Image Processing Research Community. McNitt-Gray, M., Armato, S., McLennan, G., Meyer, C., Yankelevitz, D., Croft, B. Abstract. Radiological Society of North America.

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