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Electronic
Systems
and
Signals
Research
Laboratory
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Dan Keesing | ||
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General Information: Full Name: Daniel Brian Keesing Graduate Research Assistant in Biomedical Engineering Lab: Electronic Systems and Signals Research Laboratory Advisor: Joseph A. O'Sullivan, Ph.D. Co-advisor: Yuan-Chuan Tai, Ph.D. Office: Jolley Hall, Room 420, Danforth Campus Phone: 314-935-4294 (office) Email: keesing@wustl.edu |
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Mailing Address: Dept. of Biomedical Engineering Washington University in St. Louis Campus Box 1097 One Brookings Drive Saint Louis, MO 63130 |
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Education
Current Research InterestsMy general research interests lie in the field of biomedical imaging, an exciting and highly interdisciplinary research area. I currently have two main directions to my research.One focus is on making improvements to image reconstruction techniques used
in x-ray computed tomography (CT). The two primary classes of algorithms used for image reconstruction are analytical
and statistical methods. While analytical methods, such as filtered backprojection (FBP), are routinely used in clinical
practice due to their fast performance, they tend not to be as accurate as the statistical methods (such as maximum likelihood estimation)
in low-count situations. Such situations could arise if the patient's arms are partially outside the field of view, if the patient has metal
implants, if the patient is obese, or for a wide variety of other reasons.
Since statistical algorithms realistically model the x-rays as being Poisson-distributed, they are superior in modeling low-count data as compared
to the idealized measurement model used in FBP. The major downside of most existing statistical reconstruction
techniques is that they are iterative and therefore very slow compared to FBP, especially for large 3D clinical datasets.
I have implemented a highly optimized parallelized version of an alternating minimization algorithm for fully 3D imaging to help minimize the computation time.
My code, which runs on an SGI Altix 3700 at the NCSA, scales very well up to at least 16 processors on large clinical datasets.
I am also interested in finding ways to improve the convergence rate of iterative methods, thereby further reducing
computational costs to levels that are clinically acceptable. The second focus of my research is to design appropriate attenuation and scatter correction techniques for a novel positron emission tomography (PET) breast imaging system. Without such corrections, the reconstructed images would have artifacts or be excessively noisy. The goal of this breast imaging system is to enhance the resolution and sensitivity compared to a whole-body PET scanner. Conferences
Journal Articles
Awards
Current Memberships
PersonalI grew up in northeastern New Jersey, about 20 miles from NYC. Some of my favorite outdoor activities are running, sailing, hiking, caving, rock climbing/mountaineering, camping, biking, tennis, and swimming. I'm also a jazz fan (especially jazz piano).Last updated November 5, 2007. Please email me with questions or comments. |
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