Performance evaluation of functional medical imaging compression via optimal sampling schedule designs and cluster analysis

Author

Chen, Zhe ; Feng, David Dagan ; Cai, Weidong ; Fulton, Roger

Author_Institution

Sch. of Inf. Technol., Sydney Univ., NSW, Australia

Volume

52

Issue

5

fYear

2005

fDate

5/1/2005 12:00:00 AM

Firstpage

943

Lastpage

945

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.

Keywords

brain; data compression; image coding; medical image processing; pattern clustering; positron emission tomography; brain; cluster analysis; functional medical imaging; image compression; optimal sampling schedule designs; positron emission tomography; Biomedical imaging; Clustering algorithms; Data analysis; Data compression; Image analysis; Image coding; Image sampling; Performance analysis; Positron emission tomography; Sampling methods; Cluster analysis; functional imaging; imaging compression; optimal sampling schedule; positron emission tomography (PET); Algorithms; Artificial Intelligence; Brain; Cluster Analysis; Data Compression; Epilepsy; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Models, Biological; Pattern Recognition, Automated; Positron-Emission Tomography; Reproducibility of Results; Sample Size; Sensitivity and Specificity; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2005.845367

Filename

1420717