PATIENT CARE

Publications

Click here to view Dr. McNitt-Gray's publications on PubMed.gov

Faculty Research

The research within the Radiological Sciences spans from basic sciences to clinical imaging specialties.

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Faculty Research Page

Michael F. McNitt-Gray, PhD, DABR

Associate Professor of Radiology
Section of Thoracic Imaging
Director, Biomedical Physics Graduate Program
Email: MMcnittgray@mednet.ucla.edu

Professional Training & Experience

TO DATE Associate Professor of Radiology
David Geffen School of Medicine at UCLA, Los Angeles CA
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)
2002-2004 Graduate Faculty Advisor
UCLA Biomedical Physics
1998-1998 ABR Certification: Diagnostic Radiological Physics
1994-2001 Assistant Professor of Radiology
UCLA Radiological Sciences
1993-1994 Postdoctoral Research Fellow: Thoracic Radiology
UCLA Radiological Sciences
1993-1993 Doctor of Philosophy, Biomedical Physics
UCLA Medical School, Los Angeles CA
1985-1988 Instructor: Electrical Engineering
Pennsylvania State University, University Park PA
1984-1985 Project Engineer
North Carolina Alternative Energy Corp., Res. Tri. Park, NC
1981-1984 Assistant Engineer
American Electric Power Service Corp., Columbus OH
1980-1980 Master of Science, Electrical Engineering
Carnegie-Mellon University, Pittsburgh PA

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)

http://www.bmp.ucla.edu
http://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 Studay 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