Reconstruction of the spine structure with bi-planar x-ray images using the generative adversarial network

Chih Chia Chen, Ting Yu Su, Wei Tse Yang, Tsu Chi Cheng, Yi Fei He, Cheng Li Lin, Yu Hua Fang

研究成果: Conference contribution

摘要

In this study, a new computer-aided system was proposed to automatically reconstruct the spine model. The bi-planar EOS X-ray imaging was adopted as the scanning technology, which is capable of a simultaneous capture of bi-planar X-ray images by slot scanning of the whole body using ultra-low radiation doses. High quality and high contrast anteroposterior (AP) and lateral (LAT) X-ray images will be acquired during scanning period and these two radiographs enable a precise three-dimensional reconstruction of vertebrae, pelvis and other parts of the skeletal system. To overcome the timeconsuming issue of spine reconstruction using EOS system, a generative adversarial network (GAN) was applied to reconstruct the entire spine model, which is consist of generator and discriminator and training by unsupervised learning approach. Nowadays, GAN model has already been adopted in the transformation from 2D image to 3D scenes. Therefore, our approach represents a potential alternative for EOS reconstruction while still maintaining a clinically acceptable diagnostic accuracy.

原文English
主出版物標題International Forum on Medical Imaging in Asia 2019
編輯Hiroshi Fujita, Feng Lin, Jong Hyo Kim
發行者SPIE
ISBN(電子)9781510627758
DOIs
出版狀態Published - 2019
事件International Forum on Medical Imaging in Asia 2019 - Singapore, Singapore
持續時間: 2019 一月 72019 一月 9

出版系列

名字Proceedings of SPIE - The International Society for Optical Engineering
11050
ISSN(列印)0277-786X
ISSN(電子)1996-756X

Conference

ConferenceInternational Forum on Medical Imaging in Asia 2019
國家/地區Singapore
城市Singapore
期間19-01-0719-01-09

All Science Journal Classification (ASJC) codes

  • 電子、光磁材料
  • 凝聚態物理學
  • 電腦科學應用
  • 應用數學
  • 電氣與電子工程

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