作者: Paulina E. Galavis , Christian Hollensen , Ngoneh Jallow , Bhudatt Paliwal , Robert Jeraj
DOI: 10.3109/0284186X.2010.498437
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摘要: AbstractBackground. Characterization of textural features (spatial distributions image intensity levels) has been considered as a tool for automatic tumor segmentation. The purpose this work is to study the variability in PET images due different acquisition modes and reconstruction parameters. Material methods. Twenty patients with solid tumors underwent PET/CT scans on GE Discovery VCT scanner, 45–60 minutes post-injection 10 mCi [18F]FDG. Scans were acquired both 2D 3D modes. For each raw data was reconstructed using five Lesions segmented default threshold 40% maximum SUV. Fifty texture calculated inside tumors. range variations respect average value. Results. classified based variation three categories: small, intermediate large var...