Prediction of CT Images from PET Images Using Deep Learning Approach for Small Animal Systems

Kouhei Nakanishi, Seiichi Yamamoto, Tadashi Watabe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Positron emission tomography (PET) is a powerful tool because it can acquire quantitative functional images. To obtain quantitative images, attenuation correction (AC) is indispensable, but it sometimes fails in cases such as CT system problems or other causes. PET images not having CT images also appear in measurements using small animal PET systems that are not combined with a CT system or a PET/MRI system. In this case, the generation of CT images from PET images using deep learning (DL) may be a possible solution. Consequently we tried this approach using measured small animal PET/CT images. We used pix2pix generative adversarial networks (GANs) for deep learning. After training the neural network using some of the measured small animal PET/CT image pairs, we predicted synthetic CT (sCT) images from the PET images of rat heads and compared them with the measured CT images. After the training, we could generate sCT images that had similar structures to the rat's skull, although there were some differences observed in the headrest parts. We conclude that sCT image generation from PET images is possible and has the potential to be used for AC in small animal PET systems.

Original languageEnglish
Title of host publication2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022
EditorsHideki Tomita, Tatsuya Nakamura
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665421133
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event2021 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2021 - Virtual, Yokohama, Japan
Duration: 2021 Oct 162021 Oct 23

Publication series

Name2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022

Conference

Conference2021 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2021
Country/TerritoryJapan
CityVirtual, Yokohama
Period21/10/1621/10/23

ASJC Scopus subject areas

  • Nuclear Energy and Engineering
  • Health Informatics
  • Radiology Nuclear Medicine and imaging
  • Nuclear and High Energy Physics

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