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Recovery of Dynamic PET Regions via Simultaneous Segmentation and Deconvolution

Abstract

We derive a new model for simultaneous segmentation and deconvolution of dynamic PET images. By incorporating the PSF of the imaging system into our segmentation model, we simultaneously estimate region boundaries, and correct tissue activities for the partial volume effect. We show improved segmentation results, and outperform two state-of-the-art dynamic PET segmentation methods.

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Authors
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Supplemental Material
Citation
Category
Paper in Conference Proceedings or in Workshop Proceedings (Other)
Event Title
MICCAI 2008 Workshop on Analysis of Functional Medical Images
Divisions
Visualization and Data Analysis
Subjects
Computergraphik
Event Location
New York, USA
Event Type
Workshop
Event Dates
10 Sep 2008
Date
September 2008
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