US2010030071A1PendingUtilityA1
Delay-compensated calculation of tissue blood flow
Est. expiryJun 2, 2023(expired)· nominal 20-yr term from priority
A61B 6/481A61B 6/507A61B 5/0263A61B 6/504A61B 5/055
49
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Claims
Abstract
Methods for computing perfusion parameters are described. The methods are typically used to analyze magnetic resonance (MR) and other image data and to calculate tissue perfusion parameters such as blood flow in the brain or in tissues in other organs such as the heart. The methods employ a block-circulant matrix for deconvolving the perfusion parameters from the image data.
Claims
exact text as granted — not AI-modified1 . A method for producing, with a medical imaging system, an image that is indicative of a blood flow parameter in a tissue of interest in a subject, the steps comprising:
a) administering a contrast agent to the subject; b) acquiring, with the medical imaging system, image data from the subject during a passage of the contrast agent through the tissue of interest; c) reconstructing images from the acquired image data; d) calculating an arterial input function (AIF) from the reconstructed images; e) producing a shift invariant matrix using the calculated AIF; f) calculating a delay-compensated residue function, using the shift invariant matrix, by deconvolution; and g) producing an image indicative of a blood flow parameter in the tissue of interest, using the calculated delay-compensated residue function.
2 . The method as recited in claim 1 , in which the shift invariant matrix produced in step e) is a block-circulant matrix.
3 . The method as recited in claim 1 , in which step f) is performed by utilizing a singular value decomposition of the produced shift invariant matrix.
4 . The method as recited in claim 1 , in which step f) includes applying a selected threshold so that singular values are substantially suppressed during deconvolution.
5 . The method as recited in claim 4 , in which step f) is repeated a plurality of times and a different threshold is applied during each repetition.
6 . The method as recited in claim 1 , in which step f) includes minimizing an oscillation index that is indicative of noise present in the calculated delay-compensated residue function.
7 . The method as recited in claim 6 , in which the oscillation index has the form:
O
=
1
L
1
f
max
(
∑
k
=
2
L
-
1
f
(
k
)
-
2
f
(
k
-
1
)
+
f
(
k
+
2
)
)
;
wherein:
O is the oscillation index;
L is a number of sample points;
f is an estimated residue function;
f max is a maximum amplitude of f; and
k is an index indicative of a data point in f.
8 . The method as recited in claim 6 , in which step f) is repeated a plurality of times to calculate a plurality of residue functions and a different oscillation index is minimized for each residue function.
9 . The method as recited in claim 1 , in which the delay-compensated blood flow parameter is at least one of cerebral blood volume (CBV), cerebral blood flow (CBF), relative cerebral blood volume (rCBV), relative cerebral blood flow (rCBF), and mean transit time (MTT).
10 . The method as recited in claim 1 , in which the medical imaging system is at least one of a magnetic resonance imaging (MRI) system, a computed tomography (CT) imaging system, and a positron emission tomography (PET) system.
11 . The method as recited in claim 1 , in which the contrast agent is at least one of a paramagnetic contrast agent, a dye, and a bolus of oxygen.
12 . The method as recited in claim 1 , in which the AIF is calculated by averaging signal changes in pixels selected from a region of interest.
13 . The method as recited in claim 12 , in which the region of interest includes a large blood vessel.
14 . The method as recited in claim 1 , in which the tissue of interest is brain tissue.Join the waitlist — get patent alerts
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