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Optical Mapping of Langendorff-perfused Rat Hearts
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Automatic in-line quantitative myocardial perfusion mapping: Processing algorithm and implementation.

Hui Xue1, Louise A E Brown2, Sonia Nielles-Vallespin3

  • 1National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland.

Magnetic Resonance in Medicine
|August 24, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces an automated workflow for quantitative myocardial perfusion mapping, enabling precise measurement of blood flow and volume. The developed system demonstrates reliable performance in healthy subjects, paving the way for clinical applications.

Keywords:
Gadgetronblood-tissue exchange modelmotion correctionmyocardial perfusionperfusion quantification

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Area of Science:

  • Cardiovascular Magnetic Resonance Imaging
  • Medical Imaging Analysis
  • Physiological Modeling

Background:

  • Quantitative myocardial perfusion mapping offers superior diagnostic capabilities compared to qualitative assessments.
  • Current quantitative methods are primarily research tools, lacking clinical availability.
  • Automated solutions are needed to integrate advanced imaging techniques into clinical practice.

Purpose of the Study:

  • To develop and characterize an automated, inline workflow for quantitative myocardial perfusion mapping.
  • To implement a robust algorithm for pixel-wise flow and volume calculations.
  • To evaluate the performance of the automated system in healthy volunteers.

Main Methods:

  • A workflow incorporating motion correction (MOCO), arterial input function detection, and gadolinium concentration conversion was developed.
  • A distributed kinetics model was implemented for pixel-wise calculation of myocardial blood flow, permeability-surface-area product, blood volume, and interstitial volume.
  • The automated system was applied to cardiovascular MR perfusion data from 30 healthy subjects.

Main Results:

  • The automated MOCO significantly improved image quality and alignment.
  • Mean myocardial blood flow was significantly higher during stress (2.82 mL/min/g) compared to rest (0.68 mL/min/g).
  • Significant differences were observed in permeability-surface-area product and blood volume between stress and rest, indicating a valid vasodilation response.

Conclusions:

  • A fully automated inline workflow for myocardial perfusion flow mapping has been successfully developed and demonstrated.
  • The system automates key steps including motion correction and pixel-wise mapping from free-breathing perfusion imaging.
  • Initial evaluation in healthy volunteers confirms the system's capability for automated quantitative perfusion analysis.