DocumentCode :
451694
Title :
Determining the lesion detectability index along the axial and radial direction for multi-pinhole SPECT
Author :
Bal, Girish ; Cao, Zixiong ; Acton, Paul D.
Author_Institution :
Dept. of Radiol., Thomas Jefferson Univ., USA
Volume :
3
fYear :
2005
fDate :
23-29 Oct. 2005
Abstract :
The improved resolution capabilities of pinhole SPECT makes it an ideal imaging modality to study various human disease models in small animals. However, the sensitivity profile of the sampled image space is non-uniform and depends on the relative location of the pinhole and the imaging geometry used. Hence, it will be desirable to place the target volume in the same plane as the pinhole for better count statistics. In this work we study the lesion detectability index of single pinhole (SP) and multi-pinhole (MP) for lesions placed at various locations in the field-of-view (FOV). A uniform cylinder filled with activity equivalent to those observed in a mouse scan was simulated (14 MBq, 10 minutes study). Lesions (1.4 mm) were placed at predetermined locations and multiple noise realizations were performed. The reconstructed images were evaluated using non-prewhitening (NPWF) analysis to accurately study the lesion detectability in the axial and radial directions. The overall lesion detectability of MP was found to be uniform and about 1.6 times better than that of the SP case. Our studies shows that the improved sensitivity (84 cps/MBq for SP and 612 cps/MBq for MP) and uniform sampling of the image space by the MP results in improved lesion detectability of a larger volume for the same acquisition time.
Keywords :
diseases; image reconstruction; medical image processing; noise; single photon emission computed tomography; 10 min; 14 MBq; axial direction; count statistics; human disease models; image reconstruction; improved resolution capabilities; lesion detectability index; mouse scan; multipinhole SPECT; multiple noise; nonprewhitening analysis; radial direction; single pinhole SPECT; small animals; Animals; Diseases; Geometry; Humans; Image analysis; Image reconstruction; Image resolution; Lesions; Mice; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium Conference Record, 2005 IEEE
ISSN :
1095-7863
Print_ISBN :
0-7803-9221-3
Type :
conf
DOI :
10.1109/NSSMIC.2005.1596650
Filename :
1596650
Link To Document :
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