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Activity Number:
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505
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Type:
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Contributed
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Date/Time:
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Thursday, August 2, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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| Abstract - #309913 |
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Title:
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A Color Image Grand Tour for Exploring Medical Images
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Author(s):
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Juergen Symanzik*+ and Bradley Wallet and William Shannon
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Companies:
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Utah State University and Automated Decisions, LLC and Washington University in St. Louis
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Address:
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Department of Mathematics and Statistics, Logan, UT, 84322-3900,
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Keywords:
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IGT ; Magnetic Resonance Imaging ; MRI ; Multispectral Images ; Visualization
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Abstract:
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The image grand tour (IGT) is a method for visualizing multispectral images or multiple registered images. Past versions of the IGT projected a linear combination of the pixel vectors into one-dimensional space (for each pixel) and rendered these projected values as a gray-scale image. We will present a color version of the IGT that is better capable of highlighting hidden features than the grayscale version. Additional software enhancements such as the capability of zooming into a region of interest (e.g., a tumor) will be presented. Our main application are medical images such as multiple slices obtained from magnetic resonance imaging (MRI) scans. The IGT can be used to highlight features in MRI scans taken by different scanning techniques. It is also capable of providing a movie-like movement of soft tissues in case the MRI scans were taken at different points in time.
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