Synopsis
This presentation focuses on the quantification of myocardial perfusion
using rapid dynamic imaging during the first pass of contrast bolus through the
heart.
The approaches which can be used for quantifying myocardial blood flow
from the observed contrast enhancement can be broadly divided into two
categories, which we label here as model-based and model-independent. For
model-based approaches one specifies the functional spaces in myocardial
tissue, how tracer moves through these spaces, and how it traverses permeable
barriers between the spaces.
Model-independent analysis means that one foregoes specifying a model of
the tissue structure. Model-independent analysis is based on the central volume
principle.Abstract
This syllabus focuses on the quantification of myocardial
perfusion using rapid dynamic imaging during the first pass of contrast bolus
through the heart. This remains by far the most widely used technique for
cardiac perfusion imaging, though initial results with arterial spin labeling
at 3 Tesla and higher field strengths suggest that this latter technique could
become a viable alternative that does not require injection of a contrast
agent.
The approaches which can be used for quantifying myocardial
blood flow from the observed contrast enhancement can be broadly divided into
two categories, which we refer to as model-based and model-independent. For
model-based approaches one specifies the functional spaces in myocardial
tissue, how tracer moves through these spaces, and how it traverses permeable
barriers between the spaces. A considerable degree of simplification is
necessary to arrive at models that can be used for numerical calculations and
simulations. As commonly used MR contrast agents such as Gd-DTPA are excluded
from the intracellular space one can consider a simplified models comprising
only the vascular and interstitial spaces.
Model-independent analysis means that one foregoes specifying a model of
the tissue structure. Model-independent analysis is based on the central volume
principle introduced by Ken Zierler in the the 1960’s. For its derivation one can start with the
observation that the rate at which a substance accumulates in a tissue region
of interest is given by the difference of concentrations of tracer substance
flowing into and leaving a myocardial region of interest, multiplied by the flow rate (F).
The Central Volume Principle allows one to quantify myocardial blood flow (F) through a region of interest, if one measures the contrast residue in the myocardial region of interest and and the arterial input to that region. For both quantities one needs to make approximations which will be discussed in detail in the presentation. For example, for the arterial input one generally takes as surrogate the contrast enhancement measured in the cavity of the left ventricle.
Acknowledgements
No acknowledgement found.References
1)
Cernicanu A, Axel
L. Theory-based signal calibration with single-point T1 measurements for
first-pass quantitative perfusion MRI studies. Acad Radiol 2006;13:686-93.
2)
Zierler KL.
Equations for measuring blood flow by external monitoring of radioisotopes. Circulation Research 1965;16:309-321.
3)
Zierler K.
Indicator dilution methods for measuring blood flow, volume, and other
properties of biological systems: a brief history and memoir. Ann. Biomed. Eng. 2000;28:836-48.
4)
Kroll K, Wilke N,
Jerosch-Herold M, Wang Y, Zhang Y, Bache RJ, Bassingthwaighte JB. Accuracy of
modeling of regional myocardial flows from residue functions of an
intravascular indicator. Am J Physiol
(Heart Circ Physiol) 1996;40:H1643-H1655.
5)
Li X, Springer
CS, Jerosch-Herold M. First-pass DCE-MRI with extravasating CR: Evidence for
human myocardial capillary recruitment in adenosine-induced hyperemia. NMR in Biomedicine 2009;22(2):148-57.