DuDoSS: Deep-learning-based dual-domain sinogram synthesis from sparsely sampled projections of cardiac SPECT.

Journal: Medical physics
Published Date: Sep 28, 2022

Abstract

PURPOSE: Myocardial perfusion imaging (MPI) using single-photon emission-computed tomography (SPECT) is widely applied for the diagnosis of cardiovascular diseases. In clinical practice, the long scanning procedures and acquisition time might induce patient anxiety and discomfort, motion artifacts, and misalignments between SPECT and computed tomography (CT). Reducing the number of projection angles provides a solution that results in a shorter scanning time. However, fewer projection angles might cause lower reconstruction accuracy, higher noise level, and reconstruction artifacts due to reduced angular sampling. We developed a deep-learning-based approach for high-quality SPECT image reconstruction using sparsely sampled projections.

Authors

  • Xiongchao Chen
    Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
  • Bo Zhou
    Department of Neurology, The Third People's Hospital of Yibin, Yibin, China.
  • Huidong Xie
    School of Chemistry and Chemical Engineering, Division of Laboratory and Equipment Management, Xi'an University of Architecture and Technology Xi'an 710055 Shaanxi China xiehuidong@tsinghua.org.cn.
  • Tianshun Miao
    Department, of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
  • Hui Liu
    Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Wolfgang Holler
    Visage Imaging GmbH, Berlin, Germany.
  • MingDe Lin
    Philips Research North America, Cambridge, Massachusetts.
  • Edward J Miller
    Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States.
  • Richard E Carson
    Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA.
  • Albert J Sinusas
    Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.
  • Chi Liu

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