Plasmonics
As part of the Mines Plasmonics Group, my research involved design, optimization, and simulation of plasmonic nanoscale devices. The illustration of the spiral structure on this page represents one such design, and is based on RF exponential spiral antennas. Most recently, I developed a genetic algorithm, written in Java to work in conjunction with Comsol Multiphysics for optimization of nanoscale device designs.
Mutual-Information-Based Image Registration (Thesis)
Mutual information, in addition to having application in fields such as communication and computer vision, has resulted in fully automated image registration methods.
Mutual information, in the context of image registration, is given by the difference between the sum of the entropies of individual overlapping images and the joint entropy of the combined images.
It is a measure of the reduction in uncertainty about one image due to knowledge of the other.
The thesis begins with a broad overview of medical image registration as the context in which to present the discrete mutual information-based registration method.
The theory and mathematics of discrete mutual information and its origin in information theory is presented, followed by discussion of its application in image registration.
Finally, a specific example of mutual information-based medical 2D-2D image registration is presented: registration of digitally reconstructed radiographs (DRRs) and electronic portal images (EPIs).
Radiation Treatment Planning
Optimized dose for brain cancer from a MATLAB GUI that I created for computation of optimal angles and radiation dosage using segmented 2D, or 3D, images.
Optimized radiation rose for prostate cancer from the same GUI.
