Meeting Banner
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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here