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Extended quantitative dynamic contrast-enhanced cardiac perfusion imaging in mice using accelerated data acquisition and spatially distributed, two-compartment exchange modeling

Kwiatkowski, Grzegorz; Kozerke, Sebastian (2019). Extended quantitative dynamic contrast-enhanced cardiac perfusion imaging in mice using accelerated data acquisition and spatially distributed, two-compartment exchange modeling. NMR in Biomedicine, 32(9):e4123.

Abstract

The objective of the present work was to improve data acquisition and quantification of dynamic contrast‐enhanced perfusion imaging in the in vivo murine heart.

Four‐fold undersampled data were acquired in 14 mice and reconstructed using k‐t SPARSE. A two‐compartment exchange model was employed to provide additional characterization of myocardial tissue based on compartment volumes and the permeability surface area product. The feasibility of the proposed method was tested using compartment‐based analysis of contrast‐enhanced perfusion data acquired with intravascular and extracellular contrast agents.

A significantly different permeability surface area product was measured for the intravascular versus extracellular contrast agent (0.13–0.15 ml/g/min vs 0.86–0.88 ml/g/min). The reduced extravasation also resulted in significantly smaller interstitial volumes of the intravascular versus extracellular agent (9.8–11% vs 45–47%). No difference was found for myocardial blood flow (6.5–7.2 ml/g/min vs 6.0–7.0 ml/g/min).

The results presented here show that two‐compartment exchange modeling in the in vivo murine heart is feasible and gives access to tissue parameters beyond myocardial blood flow.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Institute of Biomedical Engineering
Dewey Decimal Classification:170 Ethics
610 Medicine & health
Scopus Subject Areas:Life Sciences > Molecular Medicine
Health Sciences > Radiology, Nuclear Medicine and Imaging
Physical Sciences > Spectroscopy
Uncontrolled Keywords:Spectroscopy, Molecular Medicine, Radiology Nuclear Medicine and imaging
Language:English
Date:1 September 2019
Deposited On:26 Oct 2020 10:07
Last Modified:22 Apr 2025 01:38
Publisher:Wiley-Blackwell Publishing, Inc.
ISSN:0952-3480
OA Status:Closed
Publisher DOI:https://doi.org/10.1002/nbm.4123
PubMed ID:31209939
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