Research Overview
Our research focuses on outcome analysis of imaging techniques. Algorithms for the most appropriate workup based on signs and symptoms or diagnostic related groupings (DRG) have been developed as well as methodology for evaluation of cost effectiveness.
We are also developing theoretical and analytic principles for radiologic interpretation. This includes determination of prevalence functions for diagnostic purposes. We are investigating the utility of neural networks and advanced statistical processing techniques as aids in the diagnostic imaging evaluation. We are investigating the application of fuzzy logic to imaging algorithms. We are also developing applications of three dimensional and virtual reality imaging techniques for diagnostic purposes.
Particular projects include assessment of pulmonary nodules, diagnostic workup of pulmonary embolism, evaluation of radiation effects on the body using computed tomography, and magnetic resonance imaging. We have studied the uses of various imaging techniques for the evaluation of diffuse lung injury.
We have started a study to evaluate the use of computed tomography for early lung cancer detection. This study includes a screening arm together with a multi-institutional registry to provide outcome assessment of the utility of computed tomography of the chest in an efficient time and cost effective manner.
Other projects include the formulation and assessment of the heme-oxygenase inhibitors in the management of hyperbilirubinemia in newborns and a clinical trial of the use of beta-carotene in the chemoprevention of skin cancer in albinos.
