Selecting the optimal image segmentation strategy in the era of multitracer multimodality imaging: a critical step for image-guided radiation therapy

Excerpt

The study by Vees et al. [1] illustrates the potential application of the image segmentation approach in a promising “non-FDG” PET tracer that is being investigated for its potential in patients with high-grade glioma. This study is a comparative evaluation of the various image segmentation techniques for the delineation of gross tumour volume (GTV) in this group of patients. The study illustrates the complexity of current image segmentation algorithms and vividly demonstrates the difference in the results obtained and the possible implications for brain tumour GTV delineation, and in so doing sounds a cautionary note. The authors deserve recognition for employing this novel quantitative approach with novel PET tracers in this promising arena of image-guided radiotherapy. …