Abstract #0412
High Temporal Resolution Aortic Input Function Extraction from DCE-MRI Datasets Using Temporally Neighboring K-Space Samples
Umit Yoruk 1,2 , Manojkumar Saranathan 2 , Andreas M Loening 2 , Brian A Hargreaves 2 , and Shreyas S Vasanawala 2
1
Electrical Engineering, Stanford University,
Stanford, CA, United States,
2
Radiology,
Stanford University, Stanford, CA, United States
Accurate aortic input function (AIF) measurement is
essential for DCE-MRI applications. We present a method
that estimates the AIF from groups of temporally
neighboring k-space samples, which have better temporal
resolution and temporal footprint than the full k-space
data. Since intensity changes of a structure over time
are reflected in intensity changes of its frequency
components, a portion of k-space too small to form good
images can still be used to quantitatively determine AIF
dynamics. We demonstrated the feasibility of this new
method on a pediatric MR Urography subject and validated
the results using a high spatiotemporal resolution
digital phantom.
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