Tri-dimensional automatic segmentation of PET volumes based on measured source-to-background ratios: influence of reconstruction algorithms.

By J. Daisne, M. Sibomana, A. Bol, T. Doumont, M. Lonneux, V. Grégoire. Radiotherapy and Oncology, 2003

400 citations recorded by the source corpus.

Subfields: Radiation, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/aea79f910cd2697c0fad916d7e98b3cc7612939a

How researchers see this paper

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In Radiation

1. I. E. El Naqa

In Radiology, Nuclear Medicine and Imaging

1. I. E. El Naqa
2. Habib Zaidi

Citations in the corpus

• PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques (2010, methodology): “These include manual delineation performed by an experienced radiation oncologist on both the CT (CT man ) and PET (PET man ) images, four semi-automated methods comprising the SBR-based adaptive thresholding technique [91], RG [28], Black et al. technique [90], Nestle et al. technique [94] and thre”
• Comparison of different methods for delineation of 18F-FDG PET-positive tissue for target volume definition in radiotherapy of patients with non-Small cell lung cancer. (2005, background): “Recently, more complex algorithms—including, for example, the source-tobackground ratio or local contrast—were proposed (21,22).”