Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10745
Title: Performance evaluation of functional medical imaging compression via optimal sampling schedule designs and cluster analysis
Authors: Chen, Z
Feng, DD
Cai, W
Fulton, R
Keywords: Cluster analysis
Functional imaging
Imaging compression
Optimal sampling schedule
Positron emission tomography (PET)
Issue Date: 2005
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on biomedical engineering, 2005, v. 52, no. 5, p. 943-945 How to cite?
Journal: IEEE transactions on biomedical engineering 
Abstract: In previous work we have described a technique for the compression of positron emission tomography (PET) image data in the spatial and temporal domains based on optimal sampling schedule designs (OSS) and cluster analysis. It can potentially achieve a high data compression ratio greater than 80:1. However, the number of distinguishable cluster groups in dynamic PET image data is a critical issue for this algorithm that has not been experimentally analyzed on clinical data. In this paper, the problem of experimentally determining the ideal cluster number for the algorithm for PET brain data is addressed.
URI: http://hdl.handle.net/10397/10745
ISSN: 0018-9294
EISSN: 1558-2531
DOI: 10.1109/TBME.2005.845367
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