The neighborhood viewer: a paradigm for exploring image databases

Authors:
John V. Carlis;Alex Safonov;Douglas Perrin;Joseph A. Konstan
Affiliations:
University of Minnesota, Minneapolis, MN;University of Minnesota, Minneapolis, MN;University of Minnesota, Minneapolis, MN;University of Minnesota, Minneapolis, MN
Venue:
CHI EA '97 CHI '97 Extended Abstracts on Human Factors in Computing Systems
Year:
1997

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Abstract

The Brain Neighborhood Viewer is a tool developed to help neuroscientists explore massive databases of brain images. The viewer implements an interface paradigm based on stacks of 2D images that are "yoked together" to provide a common coordinate system. When a user navigates in an image stack, all yoked stacks are updated to display the same location, which we call a brain neighborhood. Experience with the neighborhood suggests that this interface is useful for neuroscience research.