M.S., Computer and Electrical Engineering, California State University Long Beach, 1985.
M.S., Applied Mathematics, University of Sai Gon, Faculty of Sciences, Viet Nam, 1975.
B.S., Computer Science, California State University Long Beach, 1983.
"JANUS: A Java/Internet-based Nuclear Medicine Computing System," 3rd Place, Scientific Exhibit, Society of Nuclear Medicine Annual Meeting, Toronto, 1998.
Staff Incentive Award for outstanding performance and contributions, UCLA
Department of Molecular & Medical Pharmacology, 1995-1996, 1998-1999.
Software System Engineer of the year for 1991 candidate, Rockwell International, Software System Department, 1991.
Sustained Superior Performance, Rockwell International, Software System Department, 1990.
Department of Molecular & Medical Pharmacology UCLA School of Medicine 10833 LeConte Ave., MS B2-086 CHS Los Angeles, CA 90095-6948 Phone: (310) 825-2133 Fax: (310) 825-4517 Email: dtruong@mednet.ucla.edu Website: http://dragon.nuc.ucla.edu
The Web Image Retrieval, Image Clinical/Research Database and Image Analysis System (Department only)
The program allows technologists to archive image data from each scanner directly
to the Web server and also allows authorized investigators to review animal and
patient image/session information and to download image data directly onto the hard disk of
their computers. It uses a database and a Web browser as a Graphical User Interface.
To access to our system, your machine needs to be registered with our server and also
requires an account.
JANUS: A Java/Internet-Based Nuclear Medicine Computing System (Demonstration only)
The program allows investigators to display and manipulate images in different
formats (PET, PACS, GIF). With this program, images may be displayed, zoomed, reduced,
merged and positioned. In addition, it also includes the Region of Interest (ROI)
definition, Time Activity Curve (TAC) for dynamic images and as well as other image
processing capabilities including color manipulation and image filtering. Through
Java, an Internet computer programming language, this program can be run from any
computer platform. Janus has been submitted to demonstration in 1998 Society of
Nuclear Medicine Annual Meeting (Scientific Exhibit) and received the honor of third place.
These programs have been used by all investigators in the department for
image retrieval and analysis.
Kinetic Imaging System (KIS)
Kinetic Imaging Systsem is a fully integrated software system to assist the learning, planning, design, and data analysis of mouse microPET studies. Through computer simulation and animation of tracer kinetics in all tissue organs of a whole animal (based on a realistic 3D mouse atlas), KIS allows
users to learn and to evaluate conveniently a multiple of biological, chemical,
and experimental factors that could affect the mouse microPET images. Its main module, in fact, allows users to perform "virtual" mouse microPET studies quickly and conveniently without using a real animal. The system serves multiple functions-education, virtual experimentation, experimental design, and image analysis
of experimental data. It consists of 4 main modules-"Dictionary", "Simulation",
"Image analysis", and "Model Fitting".
KIS is coded completely in Java to give it the important features of platform-independence, low software maintenance and long product life. It can be run either through the Web from a server or on a stand-alone station.
Image Quantitation System (JIEIQ)
Image quantitation is a critical component for molecular imaging and plays an important role in modern drug research. We have developed a Java-based integrated system environment which provides users the capability to quantitate image data. The system is coded completely in Java to achieve platform-independence, low maintenance and long product life. The system is available to users wherever there is an Internet access. It consists of several components: a JANUS image and volume viewer, an image conversion program, a model fitting tool, a plotting package, an image fusion tool (JFuse), a DICOM image sorter and a communication tool.
JIEIQ is coded completely in Java to give it the important features of platform-independence, low software maintenance and long product life. It can be run either through the Web from a server or on a stand-alone station.
Molecular Imaging Data Access Portal (MIDAS)
Molecular Imaging Data Access Portal (MIDAS) is a web-based program that provides a secure access to related microPET data and image. The data includes microPET, CT, Gamma Counter, HPLC, Autoradiography, Optical, Toxicology, Biodistribution, Dosimetry, Kinetic Modeling results, Report, Pathology, RadioChemistry, Animal Information, Cell Culture Assay, System Biology Information and Gene Profiles. Authorized users can upload data and image information to the servers for sharing. Data can be a text file, a document, a spreadsheet, and binary files (JPEG, image data file, etc.). The program search engine will allow users to retrieve valuable information from a complex data pool (i.e. database, computer storage etc.).
Controlled Access to Radiation Exposure (CARE) System
Controlled Access to Radiation Exposure (CARE) System is a web-based data communication system that facilitates online submission for Medical Radiation Safety Committee (MRSC) and the Radioactive Drug Research Committee (RDRC). This submission process permits electronic submission, communication and review of protocols that include administration of radiation and/or radioactive materials to human subjects. It is an efficient and secure way to review, track and store submitted protocols. Through this system a labor-intensive paper processing system has been eliminated and protocol review and approval has been drastically shortened.All documents and protocol history is then stored in a secured server that can be easily retrieved through a search field. The system is constructed to adapt easily to any change produced by reviewers or committee members while maintaining the daily operations of any MRSC/RDRC office. Implementation of this system has reduced protocol processing time by nearly 70%.