Abstract: Objective To develop a computed tomography myocardial perfusion (CT-MP) deconvolution algorithm by
incorporating high-dimension total variation (HDTV) regularization. Methods A perfusion deconvolution model was
formulated for the low-dose CT-MPI data, followed by HDTV regularization to regularize the consistency of the solution by
fusing the spatial correlation of the vascular structure and the temporal continuation of the blood flow signal. Results Both
qualitative and quantitative studies were conducted using XCAT and pig myocardial perfusion data to evaluate the present
algorithm. The experimental results showed that this algorithm achieved hemodynamic parameter maps with better
performances than the existing methods in terms of streak-artifacts suppression, noise-resolution tradeoff, and diagnosis
structure preservation. Conclusion The proposed algorithm can achieve high-quality hemodynamic parameter maps in
low-dose CT-MPI.