Detection, Segmentation, and Registration Techniques for Lung Image Analysis
Speaker: Margrit Betke , Computer Science Department, Boston UniversityContact:
Date: May 8 2006
Time: 2:00PM to 3:00PM
Location: Seminar Room D463 (Star)
Host: C. Mario Christoudias, Gerald Dalley, MIT CSAIL
C. Mario Christoudias, Gerald Dalley, 3-4278, 3-6095, firstname.lastname@example.org, email@example.comRelevant URL:
Technological advances in pulmonary imaging have led to an explosion of research activities in the area of lung image analysis. The talk will present an overview of work at Boston University in this area. We have developed methods for automatically detecting and measuring pulmonary nodule growth. Growth measurements are essential for lung cancer screening but are currently made by time-consuming, inaccurate, and inconsistent manual methods. Facilitating the diagnosis of lung cancer is important because early detection and resection of nodules can significantly improve patients' survival rates. Our work includes a technique to segment the lobes of the lung, which is based on an iterative curve-growing process that adaptively weighs local image information and prior knowledge of the shape of the lobes. The talk will also present an approach to register deformable structures in the chest that allows targeted similarity criteria to be embedded in the registration process.
The talk is based on joint work with Bellardine, Hong, Ko, Lutchen, Milutinovic, Mullally, Prince, Thomas, and Wang.
Margrit Betke is an Associate Professor of Computer Science at Boston University and a Research Scientist at the Massachusetts General Hospital and Harvard Medical School. She co-leads the Image and Video Computing Group (www.cs.bu.edu/groups/ivc) and conducts research in computer vision, in particular, the development of methods for detection, registration, and tracking of objects in visible-light, infrared, and x-ray image data. She has worked on animal, vehicle, and gesture tracking, human-computer interfaces for people with disabilities, and medical imaging analysis. Prof. Betke earned her Ph.D. degree from MIT in 1995 and has published over 50 original research papers. She has received the National Science Foundation Faculty Early Career Development Award in 2001 and was one of two academic honorees of the ``Top 10 Women to Watch in New England Award'' by Mass High Tech in 2005.
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