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Tomography
Volume 5
Issue 3
10.18383/j.tom.2019.00013
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Article

Cubic-Spline Interpolation for Sparse-View CT Image Reconstruction With Filtered Backprojection in Dynamic Myocardial Perfusion Imaging

by
Esmaeil Enjilela
1,
Ting-Yim Lee
1,2,
Gerald Wisenberg
3,
Patrick Teefy
3,
Rodrigo Bagur
3,
Ali Islam
4,
Jiang Hsieh
5 and
Aaron So
1,2,*
1
Imaging Research Laboratories, Robarts Research Institute, University of Western Ontario, London, ON, Canada
2
Imaging Program, Lawson Health Research Institute, London, ON, Canada
3
Department of Cardiology, London Health Sciences Centre, London, ON, Canada
4
Department of Radiology, St. Joseph’s Healthcare London, London, ON, Canada
5
Department of Molecular Imaging & Computed Tomography, GE Healthcare, Waukesha, WI, USA
*
Author to whom correspondence should be addressed.
Tomography 2019, 5(3), 300-307; https://doi.org/10.18383/j.tom.2019.00013
Submission received: 5 June 2019 / Revised: 11 July 2019 / Accepted: 10 August 2019 / Published: 1 September 2019
Versions Notes

Abstract

We investigated a projection interpolation method for reconstructing dynamic contrast-enhanced (DCE) heart images from undersampled x-ray projections with filtered backprojecton (FBP). This method may facilitate the application of sparse-view dynamic acquisition for ultralow-dose quantitative computed tomography (CT) myocardial perfusion (MP) imaging. We conducted CT perfusion studies on 5 pigs with a standard full-view acquisition protocol (984 projections). We reconstructed DCE heart images with FBP from all and a quarter of the measured projections evenly distributed over 360°. We interpolated the sparse-view (quarter) projections to a full-view setting using a cubic-spline interpolation method before applying FBP to reconstruct the DCE heart images (synthesized full-view). To generate MP maps, we used 3 sets of DCE heart images, and compared mean MP values and biases among the 3 protocols. Compared with synthesized full-view DCE images, sparse-view DCE images were more affected by streak artifacts arising from projection undersampling. Relative to the full-view protocol, mean bias in MP measurement associated with the sparse-view protocol was 10.0 mL/min/100 g (95%CI: −8.9 to 28.9), which was >3 times higher than that associated with the synthesized full-view protocol (3.3 mL/min/100 g, 95% CI: −6.7 to 13.2). The cubic-spline-view interpolation method improved MP measurement from DCE heart images reconstructed from only a quarter of the full projection set. This method can be used with the industry-standard FBP algorithm to reconstruct DCE images of the heart, and it can reduce the radiation dose of a whole-heart quantitative CT MP study to <2 mSv (at 8-cm coverage).
Keywords: myocardial perfusion; sparse-view image reconstruction; filtered backprojection; projection interpolation; cubic spline; radiation dose reduction. myocardial perfusion; sparse-view image reconstruction; filtered backprojection; projection interpolation; cubic spline; radiation dose reduction.

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MDPI and ACS Style

Enjilela, E.; Lee, T.-Y.; Wisenberg, G.; Teefy, P.; Bagur, R.; Islam, A.; Hsieh, J.; So, A. Cubic-Spline Interpolation for Sparse-View CT Image Reconstruction With Filtered Backprojection in Dynamic Myocardial Perfusion Imaging. Tomography 2019, 5, 300-307. https://doi.org/10.18383/j.tom.2019.00013

AMA Style

Enjilela E, Lee T-Y, Wisenberg G, Teefy P, Bagur R, Islam A, Hsieh J, So A. Cubic-Spline Interpolation for Sparse-View CT Image Reconstruction With Filtered Backprojection in Dynamic Myocardial Perfusion Imaging. Tomography. 2019; 5(3):300-307. https://doi.org/10.18383/j.tom.2019.00013

Chicago/Turabian Style

Enjilela, Esmaeil, Ting-Yim Lee, Gerald Wisenberg, Patrick Teefy, Rodrigo Bagur, Ali Islam, Jiang Hsieh, and Aaron So. 2019. "Cubic-Spline Interpolation for Sparse-View CT Image Reconstruction With Filtered Backprojection in Dynamic Myocardial Perfusion Imaging" Tomography 5, no. 3: 300-307. https://doi.org/10.18383/j.tom.2019.00013

APA Style

Enjilela, E., Lee, T. -Y., Wisenberg, G., Teefy, P., Bagur, R., Islam, A., Hsieh, J., & So, A. (2019). Cubic-Spline Interpolation for Sparse-View CT Image Reconstruction With Filtered Backprojection in Dynamic Myocardial Perfusion Imaging. Tomography, 5(3), 300-307. https://doi.org/10.18383/j.tom.2019.00013

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