Modified simultaneous motion estimation and image reconstruction (m-SMEIR) for 4D-CBCT

Cong Zhao, Yuncheng Zhong, Jing Wang, Mingwu Jin

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

1 Citation (Scopus)

Abstract

Motion estimation using four-dimensional (4D) X-ray cone-beam computed tomography (CBCT) is important to achieve a precise radiation therapy of lung cancer patients. If the conventional three-dimensional (3D) reconstruction methods were used, the radiation dose would be much higher to obtain satisfying 4D images. Previously, we developed a simultaneous motion estimation and image reconstruction (SMEIR) method to reconstruct high-quality images and to obtain the motion model using a regular 3D CBCT scan. Due to non-convexity of the problem, the solution of SMEIR depends on the initial deformation vector fields (DVFs) and could be trapped in local optima. In this study, we develop a practical approach to alleviate this problem: First, each phase image is reconstructed using SMEIR with initial DVFs estimated from 3D reconstruction with total variation (TV) minimization. Then, DVFs are updated by applying the demons registration method on all SMEIR reconstructed phase images and used as the initial DVFs for the second round SMEIR. This modified SMEIR (m-SMEIR) method was tested using a CBCT simulation study of 4D NCAT digital phantom. The results demonstrate that m-SMEIR can yield better image quality than the SMEIR method. More importantly, m-SMEIR can produce much improved motion fields compared to SMEIR (47% improvement measured by the mean deviation from the true tumor motion), likely due to m-SMEIR's capability of jumping out of the local optimum.

Original languageEnglish (US)
Title of host publication2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018
PublisherIEEE Computer Society
Pages340-343
Number of pages4
Volume2018-April
ISBN (Electronic)9781538636367
DOIs
StatePublished - May 23 2018
Event15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 - Washington, United States
Duration: Apr 4 2018Apr 7 2018

Other

Other15th IEEE International Symposium on Biomedical Imaging, ISBI 2018
CountryUnited States
CityWashington
Period4/4/184/7/18

Fingerprint

Cone-Beam Computed Tomography
Computer-Assisted Image Processing
Motion estimation
Image reconstruction
Tomography
Cones
Image quality
X Ray Tomography
Radiotherapy
Dosimetry
Tumors

Keywords

  • 4D CBCT
  • Local optimum
  • Modified SMEIR (m-SMEIR)
  • Motion fields
  • SMEIR

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Zhao, C., Zhong, Y., Wang, J., & Jin, M. (2018). Modified simultaneous motion estimation and image reconstruction (m-SMEIR) for 4D-CBCT. In 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018 (Vol. 2018-April, pp. 340-343). IEEE Computer Society. https://doi.org/10.1109/ISBI.2018.8363588

Modified simultaneous motion estimation and image reconstruction (m-SMEIR) for 4D-CBCT. / Zhao, Cong; Zhong, Yuncheng; Wang, Jing; Jin, Mingwu.

2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Vol. 2018-April IEEE Computer Society, 2018. p. 340-343.

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

Zhao, C, Zhong, Y, Wang, J & Jin, M 2018, Modified simultaneous motion estimation and image reconstruction (m-SMEIR) for 4D-CBCT. in 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. vol. 2018-April, IEEE Computer Society, pp. 340-343, 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, United States, 4/4/18. https://doi.org/10.1109/ISBI.2018.8363588
Zhao C, Zhong Y, Wang J, Jin M. Modified simultaneous motion estimation and image reconstruction (m-SMEIR) for 4D-CBCT. In 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Vol. 2018-April. IEEE Computer Society. 2018. p. 340-343 https://doi.org/10.1109/ISBI.2018.8363588
Zhao, Cong ; Zhong, Yuncheng ; Wang, Jing ; Jin, Mingwu. / Modified simultaneous motion estimation and image reconstruction (m-SMEIR) for 4D-CBCT. 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Vol. 2018-April IEEE Computer Society, 2018. pp. 340-343
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abstract = "Motion estimation using four-dimensional (4D) X-ray cone-beam computed tomography (CBCT) is important to achieve a precise radiation therapy of lung cancer patients. If the conventional three-dimensional (3D) reconstruction methods were used, the radiation dose would be much higher to obtain satisfying 4D images. Previously, we developed a simultaneous motion estimation and image reconstruction (SMEIR) method to reconstruct high-quality images and to obtain the motion model using a regular 3D CBCT scan. Due to non-convexity of the problem, the solution of SMEIR depends on the initial deformation vector fields (DVFs) and could be trapped in local optima. In this study, we develop a practical approach to alleviate this problem: First, each phase image is reconstructed using SMEIR with initial DVFs estimated from 3D reconstruction with total variation (TV) minimization. Then, DVFs are updated by applying the demons registration method on all SMEIR reconstructed phase images and used as the initial DVFs for the second round SMEIR. This modified SMEIR (m-SMEIR) method was tested using a CBCT simulation study of 4D NCAT digital phantom. The results demonstrate that m-SMEIR can yield better image quality than the SMEIR method. More importantly, m-SMEIR can produce much improved motion fields compared to SMEIR (47{\%} improvement measured by the mean deviation from the true tumor motion), likely due to m-SMEIR's capability of jumping out of the local optimum.",
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