Simultaneous motion estimation and image reconstruction (SMEIR) for 4D cone-beam CT

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

1 Scopus citations

Abstract

Image reconstruction and motion model estimation in four dimensional cone-beam CT (4D-CBCT) are handled as two sequential steps conventionally. Due to the limited number of projections at each phase, the image quality of 4D-CBCT is degraded by the view-aliasing artifacts and the accuracy of subsequent motion modeling is decreased by inferior 4D-CBCT. The objective of this work is to enhance both the image quality of 4D-CBCT and the accuracy of motion model estimation through developing a novel strategy enabling Simultaneous Motion Estimation and Image Reconstruction (SMEIR). The proposed SMEIR algorithm consists of two alternating steps: 1) model-based iterative image reconstruction to obtain motion-compensated primary CBCT (m-pCBCT) and 2) motion model estimation through an unconstraint optimization to obtain an optimal set of deformation vector fields (DVF) between m-pCBCT and other phases of 4D-CBCT. The motion-compensated image reconstruction is based on the simultaneous algebraic reconstruction (SART) technique coupled with the total variation regularization. During the forward- and back-projection of SART, measured projections from an entire set of 4D-CBCT are used for the reconstruction of m-pCBCT by utilizing the updated DVF. The DVF is estimated by matching the forward projection of the deformed m-pCBCT and measured projections of other phases of 4D-CBCT. The performance of SMEIR algorithm is quantitatively evaluated on a 4D NCAT phantom and a lung cancer patient. Image quality of 4D-CBCT is substantially improved by SMEIR algorithm in both phantom and patient studies. The accuracy of tumor motion trajectory estimation in SMEIR is also greatly improved as compared to those resulted from conventional sequential 4D-CBCT reconstructions (FDK and total variation minimization) and motion estimation (Demons) algorithm. The SMEIR algorithm provides a valuable tool for the treatment of moving tumors in radiation therapy.

Original languageEnglish (US)
Title of host publication2013 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479905348
DOIs
StatePublished - Jan 1 2013
Event2013 60th IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2013 - Seoul, Korea, Republic of
Duration: Oct 27 2013Nov 2 2013

Publication series

NameIEEE Nuclear Science Symposium Conference Record
ISSN (Print)1095-7863

Other

Other2013 60th IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2013
CountryKorea, Republic of
CitySeoul
Period10/27/1311/2/13

ASJC Scopus subject areas

  • Radiation
  • Nuclear and High Energy Physics
  • Radiology Nuclear Medicine and imaging

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    Wang, J., & Gu, X. (2013). Simultaneous motion estimation and image reconstruction (SMEIR) for 4D cone-beam CT. In 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2013 [6829052] (IEEE Nuclear Science Symposium Conference Record). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2013.6829052