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Jerome Liang, Ph.D.
Professor of Radiology and Computer Science.
Funding through the National Heart, Lung and Blood Institute, National
Institute of Neurological Disorders and Stroke, and the National Cancer
Institute.
Figure 1. 2-D mapping of 3-D myocardium
function from myocardial perfusion SPECT. For normal heart function,
the gray scale of the circular display would be relatively uniform.
In conventional reconstruction of myocardium dysfunction (left),
two defects are barely seen. Following quantitative reconstruction,
the pathology is more evident (right). |
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Research in our laboratory focuses on information processing in medical
imaging. Our work includes the design and fabrication of instrumentation
for improved data acquisition; modeling of data acquisition physics for
better image reconstruction; development of algorithms for efficient image
segmentation; and applications of virtual reality technologies for early
diagnosis based on processed volume images (Figure 1).
Students majoring in an engineering or physical sciences discipline can
bring their classroom learning to develop techniques to advance the above
four aspects of our work. The opportunity that these students will have
is to learn how to use their knowledge to model the physiological information
embedded in the images, and how to extract the information for early diagnosis.
Student Background: The ideal student will have expertise in programming
in C or C++ for image processing, such as Fourier transform, various filtering,
etc. Preference will be given to a student with background in EE, CS,
Physics, or Applied Math.
Contact Information
email: JZL@clio.rad.sunysb.edu
url: http://clio.rad.sunysb.edu/micl/jzl/jzl.html
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