Abstract #301794

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JSM 2002 Abstract #301794
Activity Number: 298
Type: Invited
Date/Time: Wednesday, August 14, 2002 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Graphics*
Abstract - #301794
Title: Data Processing for High-Noise Medical Images
Author(s): Joel Welling*+ and William Eddy and Nicole Lazar
Affiliation(s): Carnegie Mellon University and Carnegie Mellon University and Carnegie Mellon University
Address: 4400 Fifth Avenue, Pittsburgh, Pennsylvania, 15213, USA
Keywords: computation ; fMRI
Abstract:

Medical images must be constructed from data acquired harmlessly from a living subject. A great many sources of noise must be dealt with, including the subject's physiology, imprefections in the imaging system, and the fundamental limits of the imaging modality. Functional magnetic resonance imaging, ultrasound, and PET involve the processing of time series of images for noise reduction. We will discuss the algorithms used to tease out patterns of brain activation from these time series of MR images and to compare activation patterns across multiple subjects' very different brains.

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Revised March 2002