Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31786
Title: Dynamic image data compression in the spatial and temporal domains : clinical issues and assessment
Authors: Feng, DD
Cai, W
Fulton, R
Keywords: Clinical validation
Functional imaging
Image compression
Parameter estimation
Positron emission tomography (PET)
Issue Date: 2002
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on information technology in biomedicine, 2002, v. 6, no. 4, p. 262-268 How to cite?
Journal: IEEE transactions on information technology in biomedicine 
Abstract: In our previous work, we developed a novel approach to dynamic image data compression, and demonstrated that very high compression ratios can be achieved while preserving relevant kinetic information. However, the technique has not yet been assessed with clinical data. Many issues need to be addressed to tailor the method for clinical use. In this paper, we apply the compression technique to dynamic [18F] 2-fluoro-deoxy-glucose (FDG) brain positron emission tomography (PET) data, using a five-parameter model to include cerebral blood volume (CBV) and partial volume (PV) effects. Functional images generated from the compressed data are compared with those from the original uncompressed data. We show that the storage requirements for a typical clinical dynamic PET image data set can be reduced by more than 95%, without degradation of image quality. Furthermore, the technique greatly reduces the computational complexity of further clinical image postprocessing such as smoothing and generation of functional images. It is expected that the compression technique will be of benefit in image data management and telemedicine.
URI: http://hdl.handle.net/10397/31786
ISSN: 1089-7771
DOI: 10.1109/TITB.2002.806093
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

3
Last Week
0
Last month
0
Citations as of Sep 9, 2017

WEB OF SCIENCETM
Citations

2
Last Week
0
Last month
0
Citations as of Sep 23, 2017

Page view(s)

39
Last Week
2
Last month
Checked on Sep 18, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.