TY - JOUR
T1 - Synthetic positron emission tomography-computed tomography images for use in perceptual studies
AU - D'Alessandro, Brian
AU - Madsen, Mark
AU - Samei, Ehsan
AU - Li, Xiang
AU - Wooitan, Jin
AU - Berbaum, Kevin S.
AU - Schartz, Kevin
AU - Caldwell, Robert
AU - Zuckier, Lionel S.
PY - 2011/11
Y1 - 2011/11
N2 - To better understand fundamental issues, perception studies of the fusion display would best be performed with a panel of lesions of variable location, size, intensity, and background. There are compelling reasons to use synthetic images that contain artificial lesions for perception research. A consideration of how to obtain this panel of lesions is the nucleus of the present review. This article is a conjoint effort of 3 groups that have joined together to review results from work that they and others have performed. The techniques we review include (1) substitution of lesions into a preexisting image matrix (either using actual prior patient-derived lesions or mathematically modeled artificial lesions), (2) addition of images (either in the attenuation-corrected image space or at an earlier stage before image reconstruction), and (3) simulation of the entire patient image. A judicious combination of the techniques discussed in this review may represent the most efficient pathway of simulating statistically varied but realistic appearing lesions.
AB - To better understand fundamental issues, perception studies of the fusion display would best be performed with a panel of lesions of variable location, size, intensity, and background. There are compelling reasons to use synthetic images that contain artificial lesions for perception research. A consideration of how to obtain this panel of lesions is the nucleus of the present review. This article is a conjoint effort of 3 groups that have joined together to review results from work that they and others have performed. The techniques we review include (1) substitution of lesions into a preexisting image matrix (either using actual prior patient-derived lesions or mathematically modeled artificial lesions), (2) addition of images (either in the attenuation-corrected image space or at an earlier stage before image reconstruction), and (3) simulation of the entire patient image. A judicious combination of the techniques discussed in this review may represent the most efficient pathway of simulating statistically varied but realistic appearing lesions.
UR - http://www.scopus.com/inward/record.url?scp=80053529131&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80053529131&partnerID=8YFLogxK
U2 - 10.1053/j.semnuclmed.2011.06.007
DO - 10.1053/j.semnuclmed.2011.06.007
M3 - Review article
C2 - 21978446
AN - SCOPUS:80053529131
SN - 0001-2998
VL - 41
SP - 437
EP - 448
JO - Seminars in Nuclear Medicine
JF - Seminars in Nuclear Medicine
IS - 6
ER -