Region of Interest Heterogeneity Assessment for Image using Texture Analysis

  • Park, Yong Sung (Korea Institute of Radiological and Medical Sciences) ;
  • Kang, Joo Hyun (Korea Institute of Radiological and Medical Sciences) ;
  • Lim, Sang Moo (Korea Institute of Radiological and Medical Sciences) ;
  • Woo, Sang-Keun (Korea Institute of Radiological and Medical Sciences)
  • Received : 2016.08.29
  • Accepted : 2016.11.09
  • Published : 2016.11.30


Heterogeneity assessment of tumor in oncology is important for diagnosis of cancer and therapy. The aim of this study was performed assess heterogeneity tumor region in PET image using texture analysis. For assessment of heterogeneity tumor in PET image, we inserted sphere phantom in torso phantom. Cu-64 labeled radioisotope was administrated by 156.84 MBq in torso phantom. PET/CT image was acquired by PET/CT scanner (Discovery 710, GE Healthcare, Milwaukee, WI). The texture analysis of PET images was calculated using occurrence probability of gray level co-occurrence matrix. Energy and entropy is one of results of texture analysis. We performed the texture analysis in tumor, liver, and background. Assessment textural features of region-of-interest (ROI) in torso phantom used in-house software. We calculated the textural features of torso phantom in PET image using texture analysis. Calculated entropy in tumor, liver, and background were 5.322, 7.639, and 7.818. The further study will perform assessment of heterogeneity using clinical tumor PET image.


Supported by : NRF of Korea, KIRAMS


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