A gradient-based method for segmenting FDG-PET images: methodology and validation

Abstract

The gradient-based segmentation method applied on denoised and deblurred images proved to be more accurate than the source-to-background ratio method.

Correlation between pretreatment FDG-PET biological target volume and anatomical location of failure after radiation therapy for head and neck cancers

“…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].…”

Use of PET and PET/CT for Radiation Therapy Planning: IAEA expert report 2006–2007

“…Gradientbased methods rely on a model that determines the appropriate threshold of activity on the basis of the signal-to-background ratio [59]. This method was shown to be accurate for segmenting PET images in a study of pharyngeal-laryngeal tumors [60].…”

4D PET-CT guided radiation therapy

“…The proximity between the target volumes (TV) and highly sensitive intra-thoracic organs, such as the lungs, spinal cord, oesophagus and heart, may result in that a segmentation method that exploit the image gradient information could be used. These tools have been developed in our lab, and are in depth described in (16). Briefly, the segmentation process goes through 3 successive steps ( Fig.…”