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

Esmaeil Enjilela1, Ting-Yim Lee1,2, Gerald Wisenberg3

  • 1Imaging Research Laboratories, Robarts Research Institute, University of Western Ontario, London, ON, Canada.

Tomography (Ann Arbor, Mich.)
|October 2, 2019
PubMed
Summary
This summary is machine-generated.

A new projection interpolation method improves dynamic contrast-enhanced (DCE) heart imaging using sparse-view computed tomography (CT) acquisition. This technique reduces artifacts and radiation dose for quantitative myocardial perfusion (MP) imaging.

Keywords:
cubic splinefiltered backprojectionmyocardial perfusionprojection interpolationradiation dose reduction.sparse-view image reconstruction

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Area of Science:

  • Medical Imaging
  • Radiology
  • Cardiovascular Imaging

Background:

  • Dynamic contrast-enhanced (DCE) imaging is crucial for quantitative myocardial perfusion (MP) assessment.
  • Reducing radiation dose in CT perfusion studies is a significant clinical goal.
  • Sparse-view acquisition offers potential for dose reduction but can introduce image artifacts.

Purpose of the Study:

  • To investigate a projection interpolation method for reconstructing DCE heart images from undersampled x-ray projections.
  • To evaluate the feasibility of sparse-view dynamic acquisition for ultralow-dose quantitative CT MP imaging.
  • To assess the impact of a cubic-spline interpolation method on MP measurement accuracy.

Main Methods:

  • CT perfusion studies were performed on pigs using a full-view protocol (984 projections).
  • DCE images were reconstructed using filtered backprojection (FBP) from full-view and sparse-view (quarter) projections.
  • A cubic-spline interpolation method was used to synthesize full-view data from sparse-view projections before FBP reconstruction.

Main Results:

  • Sparse-view DCE images showed increased streak artifacts compared to synthesized full-view images.
  • The mean bias in MP measurement was significantly higher for the sparse-view protocol (10.0 mL/min/100 g) compared to the synthesized full-view protocol (3.3 mL/min/100 g).
  • Cubic-spline interpolation improved MP measurement accuracy from sparse-view data, enabling quantitative CT MP studies with radiation doses under 2 mSv.

Conclusions:

  • Projection interpolation using cubic splines can effectively reconstruct DCE heart images from sparse-view CT data.
  • This method mitigates artifacts and improves the accuracy of quantitative myocardial perfusion measurements.
  • The technique facilitates ultralow-dose, quantitative CT MP imaging, significantly reducing patient radiation exposure.