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Region of Interest Heterogeneity Assessment for Image using Texture Analysis

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2016, 21(11), pp.17-21
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

YongSung Park 1 Joo Hyun Kang 1 LIM SANG MOO 1 SangKeun Woo 1

1한국원자력의학원

Accredited

ABSTRACT

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.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.