Development and evaluation of two 4D image reconstruction methods with dual respiratory and cardiac motion compensation for gated cardiac PET

Tao Feng, Mark A. Ahlman, Liheng Guo, David A. Bluemke, Benjamin Tsui

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

Abstract

The goal of this study is to develop and evaluate two 4D statistical iterative image reconstruction (SIIR) methods with respiratory motion (RM) and cardiac motion (CM) compensation for improving the detection of motion defects in 4D gated cardiac PET. The first 4D SIIR method, motion correction after reconstruction (MCAR) was developed previously, where the dual RMandCM compensation was achieved by applying the estimated RMandCM transformation to the RMandCM gated reconstructed images after the 4D image reconstruction, respectively. A new motion correction during reconstruction (MCDR) method was developed, where the RMandCM compensation was applied at each iterative step by modeling the estimated RMandCM within the projection and backprojection matrix during the 4D SIIR. In both approaches, the RM and CM were first estimated independently from only the 4D respiratory amplitude-gated and cardiac time-gated reconstructed images, respectively. In both methods, the RMandCM compensated image was transformed back into each cardiac gate to the acquired gated images, and the non-gated attenuation map was transformed using the estimated RM to reduce mis-registration artifacts. The performance of the two methods were evaluated using Monte Carlo simulated gated MP PET images of the 4D XCAT phantom with known true RMandCM at different noise levels, and sample clinical 4D cardiac gated PET studies. The simulation study showed the MCDR provides sharper 4D gated MP PET images with ∼12% reduction in mean-square-error when compared with those from the MCAR at large number of iterations approaching convergence. The results from using patient data showed the MCDR method provided consistently superior contras-to-noise ratios. We conclude that although the MCDR method is slower, it outperforms the MCAR method in 4D gated cardiac PET image reconstructions. Our findings are supported by simulation and sample patient studies. Human trials using this method are pending.

Original languageEnglish (US)
Title of host publication2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479960972
DOIs
StatePublished - Mar 10 2016
EventIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014 - Seattle, United States
Duration: Nov 8 2014Nov 15 2014

Other

OtherIEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014
CountryUnited States
CitySeattle
Period11/8/1411/15/14

Fingerprint

Computer-Assisted Image Processing
image reconstruction
evaluation
Noise
Patient Simulation
Artifacts
iteration
artifacts
simulation

ASJC Scopus subject areas

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

Cite this

Feng, T., Ahlman, M. A., Guo, L., Bluemke, D. A., & Tsui, B. (2016). Development and evaluation of two 4D image reconstruction methods with dual respiratory and cardiac motion compensation for gated cardiac PET. In 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014 [7430927] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2014.7430927

Development and evaluation of two 4D image reconstruction methods with dual respiratory and cardiac motion compensation for gated cardiac PET. / Feng, Tao; Ahlman, Mark A.; Guo, Liheng; Bluemke, David A.; Tsui, Benjamin.

2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014. Institute of Electrical and Electronics Engineers Inc., 2016. 7430927.

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

Feng, T, Ahlman, MA, Guo, L, Bluemke, DA & Tsui, B 2016, Development and evaluation of two 4D image reconstruction methods with dual respiratory and cardiac motion compensation for gated cardiac PET. in 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014., 7430927, Institute of Electrical and Electronics Engineers Inc., IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014, Seattle, United States, 11/8/14. https://doi.org/10.1109/NSSMIC.2014.7430927
Feng T, Ahlman MA, Guo L, Bluemke DA, Tsui B. Development and evaluation of two 4D image reconstruction methods with dual respiratory and cardiac motion compensation for gated cardiac PET. In 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014. Institute of Electrical and Electronics Engineers Inc. 2016. 7430927 https://doi.org/10.1109/NSSMIC.2014.7430927
Feng, Tao ; Ahlman, Mark A. ; Guo, Liheng ; Bluemke, David A. ; Tsui, Benjamin. / Development and evaluation of two 4D image reconstruction methods with dual respiratory and cardiac motion compensation for gated cardiac PET. 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2014. Institute of Electrical and Electronics Engineers Inc., 2016.
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abstract = "The goal of this study is to develop and evaluate two 4D statistical iterative image reconstruction (SIIR) methods with respiratory motion (RM) and cardiac motion (CM) compensation for improving the detection of motion defects in 4D gated cardiac PET. The first 4D SIIR method, motion correction after reconstruction (MCAR) was developed previously, where the dual RMandCM compensation was achieved by applying the estimated RMandCM transformation to the RMandCM gated reconstructed images after the 4D image reconstruction, respectively. A new motion correction during reconstruction (MCDR) method was developed, where the RMandCM compensation was applied at each iterative step by modeling the estimated RMandCM within the projection and backprojection matrix during the 4D SIIR. In both approaches, the RM and CM were first estimated independently from only the 4D respiratory amplitude-gated and cardiac time-gated reconstructed images, respectively. In both methods, the RMandCM compensated image was transformed back into each cardiac gate to the acquired gated images, and the non-gated attenuation map was transformed using the estimated RM to reduce mis-registration artifacts. The performance of the two methods were evaluated using Monte Carlo simulated gated MP PET images of the 4D XCAT phantom with known true RMandCM at different noise levels, and sample clinical 4D cardiac gated PET studies. The simulation study showed the MCDR provides sharper 4D gated MP PET images with ∼12{\%} reduction in mean-square-error when compared with those from the MCAR at large number of iterations approaching convergence. The results from using patient data showed the MCDR method provided consistently superior contras-to-noise ratios. We conclude that although the MCDR method is slower, it outperforms the MCAR method in 4D gated cardiac PET image reconstructions. Our findings are supported by simulation and sample patient studies. Human trials using this method are pending.",
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