Associate Professor of Radiology
Section of Thoracic Imaging
Email: MBrown@mednet.ucla.edu
Professional Training & Experience
To Date
Associate Professor of Radiology David Geffen School of Medicine at UCLA, Los Angeles CA
1999-2005
Assistant Professor of Radiology UCLA Radiological Sciences
1998-1999
Visiting Assistant Professor of Radiology UCLA Radiological Sciences
1996-1998
Postdoctoral Research Fellow: Radiology UCLA Radiological Sciences
1997
Doctor of Philosophy Computer Science University of New South Wales Sydney, Australia
1993-1996
Research Scientist: Radiophysics Commonwealth Science & Industry Research Organization (CSIRO), Australia
Research Interests
As member of the UCLA Thoracic Imaging Research Group, Dr. Brown's research interests focusing on computer vision and computer-aided diagnosis in medical imaging. Current applications include lung nodule detection and classification of diffuse lung disease in CT images.
Dr. Brown's research group is applying quantitative imaging biomarkers in clinical trials: www.medqia.com
Current Research Projects
Scleroderma Lung Study The purpose of this study is to evaluate the efficacy and safety of cyclophosphamide versus placebo for the prevention and progression of symptomatic pulmonary disease in patients with systemic sclerosis.
Lung Imaging Database Consortium (LIDC) The intent of the LIDC is to support a consortium of institutions to develop consensus guidelines for a spiral CT lung image resource and to construct a database of spiral CT lung images.
Patient-Specific Models in Lung Cancer Screening with CT This project involves development of a computer vision system that automatically detects and highlights small lung nodules in CT exams that may represent early cancer. Patient-specific models that incorporate anatomical information learned from a patient's baseline scan, are used to automatically re-identify nodules in follow-up scans and measure changes in volume. The ability of this automated assistant to improve the sensitivity of radiologist readers in detecting nodules is also being investigated.
UCLA Lung Cancer Spore - Project 2: Lung Nodule Characterization with CT/PET This study proposes to develop a combined CT/PET approach for lung nodule characterization, using image analysis with feature classification to investigate several potentially complementary imaging features to better discriminate benign and malignant lesions.
Certificate of Merit: Education Exhibits A Data Grid for Imaging-based Clinical Trials
Zhou, Z., Liu, B., Huang, H., Brown, M., Documet, J., Liou, D. Abstract
Radiological Society of North America
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.
The International Society of Optical Engineering Medical Imaging
2001
R01 Grant Awarded by the NIH Patient-Specific Models in Lung Cancer Screening with CT
National Institutes of Health
2000
Certificate of Merit: Computer Exhibits Medical Image Segmentation Using Knowledge-guided Robust Active Contours
Radiological Society of North America
1993
Australian Postgraduate Research Award
Sponsorship of PhD Research in Knowledge-based Segmentation of Medical Images
University Medal: for Outstanding Graduate School of Electrical Engineering, University New South Wales, Australia
