Time sequence image analysis of positron emission tomography using wavelet transformation

Chih Yu Hsu, Yeong-Lin Lai, Chih Cheng Chen, Yu Tzu Lee, Kuo Kun Tseng, Yeong Kang Lai, Chun Yi Zheng, Huai Cian Jheng

研究成果: Article

摘要

This paper presents the time sequence image analysis technique of positron emission tomography (PET) using a wavelet transformation method. The abdominal cavity of a person taking [18F]Fluoro-2-deoxy-2-D-glucose (18F-FDG) was scanned by the dynamic PET. The organ selection with dynamic PET images was conducted by the wavelet transformation to implement automatic selection of the region of interest (ROI). The image segmentation was carried out by the processes of sampling, wavelet transformation, erosion, dilation, and superimposition. Wavelet constructed image (WCI) contours were created by sampling 512 images from 1960 consecutive dynamic sequence PET images. The image segmentation technology developed can help doctors automatically select ROI, accurately identify lesion locations of organs, and thus effectively reduce human operation time and errors.

原文English
頁(從 - 到)S393-S400
期刊Technology and Health Care
24
發行號s1
DOIs
出版狀態Published - 2015 十二月 8

    指紋

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Bioengineering
  • Biomaterials
  • Information Systems
  • Biomedical Engineering
  • Health Informatics

引用此

Hsu, C. Y., Lai, Y-L., Chen, C. C., Lee, Y. T., Tseng, K. K., Lai, Y. K., Zheng, C. Y., & Jheng, H. C. (2015). Time sequence image analysis of positron emission tomography using wavelet transformation. Technology and Health Care, 24(s1), S393-S400. https://doi.org/10.3233/THC-151105