Comparison between projection weighting and rebinning approaches in analytical image reconstruction in off-center flat panel cone-beam CT imaging

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

Abstract

In cone-beam CT (CBCT) imaging, a half-fan (HF) mode acquisition can be used to obtain a larger field-of-view (FOV) without physically increasing the detector size. However, this leads to an asymmetric sinogram with a truncated set of projection that needs to be considered during image reconstruction., especially when using analytical methods such as the filtered backprojection (FBP) and its 3D approximation, the Feldkamp-Davis-Kress (FDK) algorithm. Various approaches have been suggested in literature, which can be roughly categorized as weighting based and projection rebinning approaches. In this paper, a comparison between the two approaches are made using the XCAT phantom, based on the geometry of the Varian On-Board Imager (OBI) as the CBCT acquisition device that is usually used for image guided radiotherapy (IGRT) during treatment delivery. It is found that analytical reconstruction alone will produce a percent normalized root mean squared error (NRMSE) of 36.81% in the reconstructed image, whereas using the weighting based and rebinning approaches reduces this error to 22.86% and 4.68% respectively. Apart from that, the weighting based approach is also found to be on average biased and produces an overall lower intensity in the reconstructed image whereas the rebinning approach does not have this problem, as well as having a smaller standard deviation of the intensity deviations from the original phantom image as the ground truth.

Original languageEnglish
Title of host publication2nd International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages33-36
Number of pages4
ISBN (Electronic)9781538612774
DOIs
Publication statusPublished - 7 Nov 2018
Event2nd International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2018 - Kuching, Sarawak, Malaysia
Duration: 24 Jul 201826 Jul 2018

Other

Other2nd International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2018
CountryMalaysia
CityKuching, Sarawak
Period24/7/1826/7/18

Fingerprint

Image-Guided Radiotherapy
Cone-Beam Computed Tomography
Computer-Assisted Image Processing
Image reconstruction
Cones
Imaging techniques
Equipment and Supplies
Radiotherapy
Image sensors
Fans
Detectors
Geometry
Therapeutics

Keywords

  • Cone-Beam CT Reconstruction
  • Off-center Detector
  • Sinogram Rebinning
  • Sinogram Weighting

ASJC Scopus subject areas

  • Health Informatics
  • Signal Processing
  • Biomedical Engineering

Cite this

Amin, A. T. M., Abd Rahni, A. A., Mokri, S. S., & Ahmad, R. (2018). Comparison between projection weighting and rebinning approaches in analytical image reconstruction in off-center flat panel cone-beam CT imaging. In 2nd International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2018 (pp. 33-36). [8527405] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICBAPS.2018.8527405

Comparison between projection weighting and rebinning approaches in analytical image reconstruction in off-center flat panel cone-beam CT imaging. / Amin, Adam Tan Mohd; Abd Rahni, Ashrani Aizzuddin; Mokri, Siti Salasiah; Ahmad, Rozilawati.

2nd International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 33-36 8527405.

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

Amin, ATM, Abd Rahni, AA, Mokri, SS & Ahmad, R 2018, Comparison between projection weighting and rebinning approaches in analytical image reconstruction in off-center flat panel cone-beam CT imaging. in 2nd International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2018., 8527405, Institute of Electrical and Electronics Engineers Inc., pp. 33-36, 2nd International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2018, Kuching, Sarawak, Malaysia, 24/7/18. https://doi.org/10.1109/ICBAPS.2018.8527405
Amin ATM, Abd Rahni AA, Mokri SS, Ahmad R. Comparison between projection weighting and rebinning approaches in analytical image reconstruction in off-center flat panel cone-beam CT imaging. In 2nd International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 33-36. 8527405 https://doi.org/10.1109/ICBAPS.2018.8527405
Amin, Adam Tan Mohd ; Abd Rahni, Ashrani Aizzuddin ; Mokri, Siti Salasiah ; Ahmad, Rozilawati. / Comparison between projection weighting and rebinning approaches in analytical image reconstruction in off-center flat panel cone-beam CT imaging. 2nd International Conference on BioSignal Analysis, Processing and Systems, ICBAPS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 33-36
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abstract = "In cone-beam CT (CBCT) imaging, a half-fan (HF) mode acquisition can be used to obtain a larger field-of-view (FOV) without physically increasing the detector size. However, this leads to an asymmetric sinogram with a truncated set of projection that needs to be considered during image reconstruction., especially when using analytical methods such as the filtered backprojection (FBP) and its 3D approximation, the Feldkamp-Davis-Kress (FDK) algorithm. Various approaches have been suggested in literature, which can be roughly categorized as weighting based and projection rebinning approaches. In this paper, a comparison between the two approaches are made using the XCAT phantom, based on the geometry of the Varian On-Board Imager (OBI) as the CBCT acquisition device that is usually used for image guided radiotherapy (IGRT) during treatment delivery. It is found that analytical reconstruction alone will produce a percent normalized root mean squared error (NRMSE) of 36.81{\%} in the reconstructed image, whereas using the weighting based and rebinning approaches reduces this error to 22.86{\%} and 4.68{\%} respectively. Apart from that, the weighting based approach is also found to be on average biased and produces an overall lower intensity in the reconstructed image whereas the rebinning approach does not have this problem, as well as having a smaller standard deviation of the intensity deviations from the original phantom image as the ground truth.",
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