NDLI: Organ delineation using factor analysis on the Genisys preclinical PET system

Content Provider	IEEE Xplore Digital Library
Author	Daver, F.R. Schiepers, C. Lee, J.T. Wei, L. Dahlbom, M.
Copyright Year	2010
Description	Author affiliation: University of California - Los Angeles Ahmanson Translational Imaging Division (Daver, F.R.; Schiepers, C.; Lee, J.T.; Wei, L.; Dahlbom, M.)
Abstract	The Genisys preclinical PET imaging system suffers from relatively poor spatial resolution and reconstruction artifacts in the sagittal and transaxial planes due to limited angular sampling. This prevents reliable quantification and delineation of organs and tumors in close proximity. The use of factor analysis (FA) is proposed as a method to mitigate this effect by separation of structures into "factor" images. Two studies are performed The first study involved the application of FA on a synthetically created dynamic image in order to create factor curves. These factor curves were then compared to the synthetic curves used to create the synthetic image The second study applied FA to a dynamic image of tumor-bearing mouse The resulting factor images were assessed in order to determine how well the tumor was separated from other structures. The results from the first study displayed a very strong agreement between the synthetic curves and the factor curves. The second study displayed a prominent tumor presence within the two most significant factors. The results show promise for FA, but further research into optimal conditions must be performed
Starting Page	2851
Ending Page	2855
File Size	547854
Page Count	5
File Format	PDF
ISBN	9781424491063
ISSN	10957863
e-ISBN	9781424491056
DOI	10.1109/NSSMIC.2010.5874315
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Principal component analysis Mice Tumors Imaging Image reconstruction Kinetic theory Noise
Content Type	Text
Resource Type	Article

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