4D Reconstruction with Projection and Image Domain Motion Estimation

Shiwei Zhou, Yujie Chi, Jing Wang, Mingwu Jin

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

Abstract

To better reconstruct 4D cone-beam computed tomography (CBCT) images, a general simultaneous motion estimation and image reconstruction (G-SMEIR) method is proposed to mitigate the local optimum trapping problem of the original SMEIR method. In addition to the projection domain motion estimation used in SMEIR, G-SMEIR includes an image domain motion estimation in the iteration to achieve better 4D reconstruction. To improve computational efficiency, the computationally intensive image domain motion estimation is alleviated by parallel computing using graphics processing units (GPUs). The proposed G-SMEIR method is tested using a CBCT simulation study of 4D XCAT phantom at different noise levels and compared with 3D total variation-based reconstruction (3D TV) and SMEIR. G-SMEIR performed similarly at the regular and low doses. The root mean square error of G-SMEIR is improved more than 60% over 3D TV and up to 17% over SMEIR. The structural similarity indices for a representative phase are 0.6418 (3D TV), 0.8893 (SMEIR), and 0.9206 (G-SMEIR). GPU computing shortens computational time of image domain motion estimation from about 17 minutes (CPU) to about 40 seconds for each pairs of 3D images. The simulation results demonstrate that G-SMEIR yields good image quality at different noise levels in a reasonable time. Further improvement of motion estimation algorithms and full parallelization of G-SMEIR will be conducted and tested on patient data.

Original languageEnglish (US)
Title of host publication2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728141640
DOIs
StatePublished - Oct 2019
Event2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019 - Manchester, United Kingdom
Duration: Oct 26 2019Nov 2 2019

Publication series

Name2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019

Conference

Conference2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019
CountryUnited Kingdom
CityManchester
Period10/26/1911/2/19

ASJC Scopus subject areas

  • Signal Processing
  • Radiology Nuclear Medicine and imaging
  • Nuclear and High Energy Physics

Fingerprint Dive into the research topics of '4D Reconstruction with Projection and Image Domain Motion Estimation'. Together they form a unique fingerprint.

  • Cite this

    Zhou, S., Chi, Y., Wang, J., & Jin, M. (2019). 4D Reconstruction with Projection and Image Domain Motion Estimation. In 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019 [9059929] (2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSS/MIC42101.2019.9059929