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[Robust low-dose CT myocardial perfusion deconvolution via high-dimension total variation regularization].

Changfei Gong1, Dong Zeng, Zhaoying Bian

  • 1School of Biomedical Engineering, Southern Medical University, Guangzhou, 510515, China.E-mail: cf.gong@foxmail.com.

Nan Fang Yi Ke Da Xue Xue Bao = Journal of Southern Medical University
|November 27, 2015
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Summary

A new computed tomography myocardial perfusion (CT-MP) deconvolution algorithm using high-dimension total variation (HDTV) regularization enhances hemodynamic parameter maps. This method improves streak-artifact suppression and noise-resolution tradeoff in low-dose CT imaging.

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Area of Science:

  • Medical Imaging
  • Cardiovascular Imaging
  • Image Processing

Background:

  • Computed tomography myocardial perfusion (CT-MP) imaging is crucial for diagnosing coronary artery disease.
  • Accurate hemodynamic parameter mapping is essential for effective diagnosis.
  • Low-dose CT imaging presents challenges in maintaining image quality and reducing artifacts.

Purpose of the Study:

  • To develop and evaluate a novel CT-MP deconvolution algorithm incorporating high-dimension total variation (HDTV) regularization.
  • To improve the quality of hemodynamic parameter maps derived from low-dose CT-MP data.
  • To enhance artifact suppression and preserve diagnostic structures in CT-MP imaging.

Main Methods:

  • A perfusion deconvolution model was formulated for low-dose CT-MP data.
  • High-dimension total variation (HDTV) regularization was applied to enhance solution consistency.
  • The algorithm fused spatial vascular structure and temporal blood flow signal information.

Main Results:

  • The developed algorithm demonstrated superior performance in qualitative and quantitative evaluations using XCAT and pig myocardial perfusion data.
  • Significant improvements were observed in streak-artifact suppression compared to existing methods.
  • Enhanced noise-resolution tradeoff and preservation of diagnostic structures were achieved.

Conclusions:

  • The proposed HDTV-regularized CT-MP deconvolution algorithm effectively generates high-quality hemodynamic parameter maps.
  • This advancement is particularly beneficial for low-dose CT-MP applications, improving diagnostic accuracy.
  • The algorithm offers a promising solution for artifact reduction and image quality enhancement in myocardial perfusion imaging.