Spatial Segmentation of Image Sequences Based on Their Time Activity

Details Spatial Segmentation of Image Sequences Based on Their Time Activity Spatial Segmentation of Image Sequences Based on Their Time Activity

Apr 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006vopc.conf..340g&link_type=abstract

Virtual Observatory: Plate Content Digitization, Archive Mining and Image Sequence Processing, iAstro workshop, Sofia, Bulgaria,

Statistics

Methodology

Scientific paper

There are many applications in medical imaging where one is interested in finding the areas of the image that exhibit the same time activity. Such applications occur in positron and single photon emission imaging as well as in perfusion studies with magnetic resonance imaging (MRI). In this talk we will present Bayesian methodology based on clustering to solve this problem. At first the dimensionality of the pixel observations is reduced using a probabilistic principle component model along the spatial dimension of the data. Then, a multidimensional Gaussian mixture model with spatial constraints is used for clustering. Examples from MRI perfusion studies of the heart and the brain will be shown.

Affiliated with

Also associated with

No associations

Rating

Spatial Segmentation of Image Sequences Based on Their Time Activity does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Spatial Segmentation of Image Sequences Based on Their Time Activity, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Spatial Segmentation of Image Sequences Based on Their Time Activity will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1185759