Robust low-dose CT myocardial perfusion deconvolution via high-dimension total variation regularization / 南方医科大学学报
Journal of Southern Medical University
;
(12): 1579-1585, 2015.
Article
in Chinese
| WPRIM
| ID: wpr-232567
ABSTRACT
<p><b>OBJECTIVE</b>To develop a computed tomography myocardial perfusion (CT-MP) deconvolution algorithm by incorporating high-dimension total variation (HDTV) regularization.</p><p><b>METHODS</b>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.</p><p><b>RESULTS</b>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.</p><p><b>CONCLUSION</b>The proposed algorithm can achieve high-quality hemodynamic parameter maps in low-dose CT-MPI.</p>
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Swine
/
Algorithms
/
Tomography, X-Ray Computed
/
Artifacts
/
Phantoms, Imaging
/
Models, Theoretical
Type of study:
Qualitative research
Limits:
Animals
Language:
Chinese
Journal:
Journal of Southern Medical University
Year:
2015
Type:
Article
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