Misregistration artifacts in image-derived arterial input function in non-echo-planar imaging-based dynamic contrast-enhanced MRI

Hideto Kuribayashi, Philip L. Worthington, Daniel P. Bradley, David R. Checkley, Jean J. Tessier, John C. Waterton

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Purpose: To characterize misregistration artifact in arterial input function (AIF) pixels in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) using a two-dimensional non-echo-planar imaging (EPI)-based gradient-recalled echo (GRE) sequence. Materials and Methods: Dynamic gadopentetate-enhanced MRI was acquired in the rat using a semikeyhole acquisition scheme. The AIF was obtained from abdominal aorta pixels. Different sliding-window reconstruction techniques were applied to determine which lines in a series of the semikeyhole acquisition were associated with the misregistration artifacts. Results: The misregistration along the phase-encoding direction arose when k-space lines were acquired during the rise-time of the aortic gadolinium concentration. The maximum blood concentration of gadolinium estimated from the phase shift calculation agreed with that estimated from dosage. Conclusion: AIF misregistration results from a phase shift due to increasing gadolinium concentration in the aorta, and may need to be considered in small animal DCE-MRI studies with a high rate of rise in the AIF in high-field MR applications. © 2007 Wiley-Liss, Inc.
    Original languageEnglish
    Pages (from-to)1248-1255
    Number of pages7
    JournalJournal of Magnetic Resonance Imaging
    Volume25
    Issue number6
    DOIs
    Publication statusPublished - Jun 2007

    Keywords

    • Arterial input function
    • Dynamic contrast-enhanced magnetic resonance imaging
    • Misregistration artifact
    • Phase shift
    • Semikeyhole
    • Sliding-window reconstruction

    Fingerprint

    Dive into the research topics of 'Misregistration artifacts in image-derived arterial input function in non-echo-planar imaging-based dynamic contrast-enhanced MRI'. Together they form a unique fingerprint.

    Cite this