DocumentCode
3533879
Title
Organ delineation using factor analysis on the Genisys preclinical PET system
Author
Daver, Freddie R. ; Schiepers, Christiaan ; Lee, Jason T. ; Wei, Liu ; Dahlbom, Magnus
Author_Institution
Ahmanson Translational Imaging Div., Univ. of California - Los Angeles, Los Angeles, CA, USA
fYear
2010
fDate
Oct. 30 2010-Nov. 6 2010
Firstpage
2851
Lastpage
2855
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.
Keywords
biological organs; image reconstruction; medical image processing; positron emission tomography; tumours; Genisys preclinical PET imaging system; close proximity; dynamic imaging; factor analysis; limited angular sampling; organ delineation; reconstruction artifacts; relatively poor spatial resolution; reliable quantification; resutting factor imaging; sagittal planes; synthetic curves; synthetic imaging; transaxial planes; tumor-bearing mouse; Image reconstruction; Imaging; Kinetic theory; Mice; Noise; Principal component analysis; Tumors;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium Conference Record (NSS/MIC), 2010 IEEE
Conference_Location
Knoxville, TN
ISSN
1095-7863
Print_ISBN
978-1-4244-9106-3
Type
conf
DOI
10.1109/NSSMIC.2010.5874315
Filename
5874315
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