Research Areas
The use of computer simulations allow us to determine the radiation deposited in tissues without the need for invasive medical procedures. Advanced image processing techniques, such as textural feature analysis, increase the quality and quantity of the available information from medical images.
You can find the most updated information about our current and past projects at UCR Researcher Profile.
Most of our current research projects may be classified into three main areas:
Image analysis
- Estimation of glandular tissue distribution in conventional mammography images
- Simulation of breast tissue dose distribution using Monte Carlo radiation transport methods
- Reduction of fibrous tissue in mammography images
- Textural feature analysis of breast tissue
- Development of computational tools for ultrasound imaging
Monte Carlo Radiation Transport
- Modeling of scatter distribution on CT detectors
- Quantitative dual-energy CT imaging using iterative reconstruction algorithms
- Dose distribution in Head and Neck radiotherapy treatments and dental CBCT.
- Maintenance and development of PTRAN, a Fortran-based Monte Carlo radiation transport code developed by the Williamson group at VCU/WashU.
Experimental Medical Physics
Our computational methods are linked to experimental measurements using the state-of-the-art equipment at CICANUM, and through our collaborations with other research groups in Costa Rica and abroad.
We are particularly interested in the clinical implementation of the methods developed in at FIMEC, specially for clinical settings in developing countries.
These are only some of our current projects. You can get more information on our current and former research works through the Google Scholar website of our researchers and in Medical Physics.