Principal component reconstruction (PCR) for cine CBCT with motion learning from 2D fluoroscopy.

Journal: Medical physics
Published Date: Jan 1, 2018

Abstract

PURPOSE: This work aims to generate cine CT images (i.e., 4D images with high-temporal resolution) based on a novel principal component reconstruction (PCR) technique with motion learning from 2D fluoroscopic training images.

Authors

  • Hao Gao
    Institute of Pharmaceutical Analysis , College of Pharmacy , Jinan University , Guangzhou , Guangdong 510632 , China . Email: haibo.zhou@jnu.edu.cn ; Email: jzjjackson@hotmail.com ; Email: tghao@jnu.edu.cn.
  • Yawei Zhang
    Department of Radiation Oncology, Duke University Medical Center, Durham, NC, 27710, USA.
  • Lei Ren
    Department of Biomaterials, College of Materials, Xiamen University, Xiamen 361005, P.R. China.
  • Fang-Fang Yin
    Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States.

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