DocumentCode
2198483
Title
Comparison of planar vs. SPECT images for lesion detectability
Author
Sorensen, Eric S. ; Zeng, Gengsheng L. ; Holt, B. ; Scott, Ken ; Karen, Scott ; Ovard, Todd
Volume
3
fYear
2002
fDate
10-16 Nov. 2002
Firstpage
1731
Abstract
This research used computer simulation along with human observer studies to evaluate SPECT and planar imaging for lesion detection. The research initially focused on a simple computer simulated phantom consisting of a large sphere with a lesion placed inside at various depths. A constant lesion to background ratio of 8 to 1 was maintained throughout the trials. Two noise levels were simulated by varying the mean value of the sphere and lesion. Both planar and SPECT images were generated simulating a clinical scan time of 30 minutes. Results showed SPECT images consistently had higher contrast but also higher noise values than planar images. When the lesion was located near the center of the sphere the contrast-to-noise ratio was consistently higher in SPECT images. Research using a realistic computer model of the human torso along with realistic image acquisition and reconstruction techniques was then carried out. Planar images were generated with modeling attenuation, scatter and geometric point response. SPECT images were projected and then reconstructed with an OSEM algorithm accounting for attenuation, the scatter and the geometric point response of the collimator.
Keywords
medical image processing; phantoms; single photon emission computed tomography; 30 min; OSEM algorithm; SPECT images; computer simulation; human observer studies; image acquisition; lesion detectability; planar images; simple computer simulated phantom; Attenuation; Computational modeling; Computer simulation; Humans; Image generation; Image reconstruction; Imaging phantoms; Lesions; Noise level; Scattering;
fLanguage
English
Publisher
ieee
Conference_Titel
Nuclear Science Symposium Conference Record, 2002 IEEE
Print_ISBN
0-7803-7636-6
Type
conf
DOI
10.1109/NSSMIC.2002.1239657
Filename
1239657
Link To Document