Automated Screening for Tuberculosis on Digital Chest Radiographs
Brown Bag Lecture by Dr. Stefan Jaeger and Dr. Alexandros Karargyris | 6/7/2011 11AM-12PM | 7th Floor Conference Room, Bldg 38A
Abstract: Tuberculosis (TB) is one of the most common causes of death by an infectious agent, with an estimated nine million new cases appearing every year. TB is most prevalent in sub-Saharan Africa and Southeast Asia, where widespread poverty and malnutrition reduce resistance to the disease. Despite progress made in prevention, diagnosis, and treatment, the emergence of multi-drug-resistant bacterial strains and opportunistic infections in immunocompromised patients, for example, those with HIV (human immunodeficiency virus) have exacerbated the problem. However, the likelihood of curing TB is improved when diagnosed at an early stage. In this talk, we describe our progress in collaboration with the Academic Model Providing Access to Healthcare (AMPATH) towards improving TB screening in rural Kenya. The goal of this project is to develop screening algorithms for detecting presence of TB or other lung diseases from digital chest x-ray (CXR) images acquired from field-usable portable x-ray units. We will describe the project, present the planned framework, the challenges, and current state of key image processing steps.
Bio: Dr. Karargyris is a post-doctoral fellow with the Communications Engineering Branch. He graduated from the National Technological University of Athens, Greece with a Master degree in Electrical Engineering and Computer Engineering. He earned his PhD from Wright State University, Dayton, Ohio on designing a diagnosis software system for capsule endoscopy. His research area has been medical image analysis, computer vision and pattern recognition. His mentor is Dr. Sameer Antani.
Dr. Stefan Jaeger is a visiting scientist in the Communications Engineering Branch of Lister Hill National Center for Biomedical Communications at NLM. He received his diploma from University of Kaiserslautern and his PhD from University of Freiburg, Germany, both in computer science. Dr. Jaeger has held positions at Daimler, University of Karlsruhe, Tokyo University of Agri. & Tech., University of Maryland, Chinese Academy of Sciences / Max Planck Society, and University of Missouri. His research interests include bioimaging, pattern recognition, machine learning, and information fusion. He has about fifty publications in these areas, several of which received best paper awards and nominations, including two patents.