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Updated: Jan 19, 2026

In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
08:13

In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography

Published on: February 16, 2016

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Dynamic CT myocardial perfusion imaging

Koen Nieman1, Sujana Balla1

  • 1Stanford University School of Medicine and Cardiovascular Institute, Stanford University School of Medicine, Room H2157, 300 Pasteur Drive, Stanford, CA, 94304, USA.

Journal of Cardiovascular Computed Tomography
|September 22, 2019
PubMed

Insights

Dynamic myocardial perfusion CT (MPICT) quantifies blood flow in the heart muscle. This review details MPICT methods, performance, and its role in assessing coronary artery disease severity.

Area of Science:

  • Cardiovascular Imaging
  • Radiology
  • Medical Physics

Background:

  • Cardiac CT provides methods to assess coronary artery obstruction severity.
  • Myocardial perfusion CT (MPICT) uses serial imaging to measure contrast inflow and calculate absolute myocardial perfusion.

Purpose of the Study:

  • To review the acquisition protocol, post-processing, and quantitative parameter calculation for MPICT.
  • To evaluate the diagnostic performance and incremental value of MPICT compared to other methods.

Main Methods:

  • Description of MPICT acquisition protocols.
  • Explanation of image post-processing and quantitative parameter calculation.
  • Analysis of diagnostic performance data.

Main Results:

  • MPICT enables quantitative assessment of myocardial perfusion.
  • The review discusses the diagnostic performance and potential benefits of MPICT.

Conclusions:

  • Further technical advancements and standardized diagnostic thresholds are needed for widespread clinical adoption of MPICT.
  • MPICT shows potential for differentiating significant coronary artery disease.

Keywords:
Computed tomographyCoronary artery diseaseMyocardial blood flowMyocardial perfusion imaging

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