2003
DOI: 10.1016/s0167-8140(03)00270-6
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Tri-dimensional automatic segmentation of PET volumes based on measured source-to-background ratios: influence of reconstruction algorithms

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Cited by 342 publications
(327 citation statements)
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“…painting by numbers) [34]. At this time the optimal methods for PET volume segmentation [28] and reconstruction algorithms [35] have not been established, however gradient based methods appear more promising when examining gross tumor specimens [36]. In addition, it is not clear if boost should be given to the pretherapy BTV or to the residual uptake after several weeks of therapy [37].…”
Section: Discussionmentioning
confidence: 99%
“…painting by numbers) [34]. At this time the optimal methods for PET volume segmentation [28] and reconstruction algorithms [35] have not been established, however gradient based methods appear more promising when examining gross tumor specimens [36]. In addition, it is not clear if boost should be given to the pretherapy BTV or to the residual uptake after several weeks of therapy [37].…”
Section: Discussionmentioning
confidence: 99%
“…Phantom studies with varying "lesion" and background activities were conducted to derive the relationship between the true volume of homogenously-filled, (usually spherical) "lesions" and various thresholds applied to the PET images [57] [58].…”
Section: Source / Background Algorithmsmentioning
confidence: 99%
“…The GTV FDG was the result of automatic segmentation of the 18 F-FDG PET images, based on the source-to-background ratio (21). The standardized uptake value (SUV), an index of glucose metabolism that equals the 18 F-FDG uptake in each pixel normalized by the injected dose and body weight, was calculated in each tumor volume.…”
Section: Image Analysismentioning
confidence: 99%