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Updated: Aug 30, 2026
From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
Published on: August 13, 2014
Tri-dimensional automatic segmentation of PET volumes based on measured source-to-background ratios: influence of
Jean-François Daisne1, Mérence Sibomana, Anne Bol
1Department of Radiation Oncology, Laboratory of Radiobiology, Université catholique de Louvain, St-Luc University Hospital, 10 Ave Hippocrate, B-1200 Brussels, Belgium.
Abstract:
A method for automatic volume segmentation of functional imaging based on a relationship between source-to-background ratio and the iso-activity level to be used is described. Such method, which has been established with radioactive spheres in a phantom, is independent of the a priori knowledge of the lesion of interest and is valid for small (>2 ml) and/or poorly contrasted (S/B>1.5) lesions. Accuracy varies slightly with the image reconstruction algorithm used.
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