Novel MRI Sequence- MR Fingerprinting



Status:Recruiting
Healthy:No
Age Range:18 - 99
Updated:11/7/2018
Start Date:November 2, 2018
End Date:October 2021
Contact:Markeela Lipscomb, BA
Email:markeela_lipscomb@med.unc.edu
Phone:984-974-8157

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Magnetic Resonance Imaging (MRI) has become one of most important medical imaging tools over
the past 30 years because it is non-invasive, requires no ionizing radiation, and provides
exquisite images of soft tissues and anatomic structures with many tissue/disease specific
contrasts. While MRI has served the community well for many years, it is increasingly clear
that it also has significant limitations.

One of the principle limitations is the lack of quantitative information for tissue/structure
characterization. The current paradigm of MRI is to use a set of scanner settings to generate
an image "weighted" by a specific MR contrast mechanism (physical parameter), where it is
hoped that variations in the parameter will be accentuated. However, without quantitative
knowledge of the parameters, the final image contrast may depend on many factors, which
complicates image interpretation and diagnostic performance. Quantitative measurement can
provide a great deal of information about tissue properties and pathological conditions,
since these parameters ultimately determine the contrast that is observed in conventional
images.

The purpose of this study is to evaluate novel quantitative MRI techniques in clinical
studies to determine whether they can provide better, faster and more useful information for
clinical diagnosis. In this study, the investigators propose to apply MR Fingerprinting and
evaluate its performance for different diseases. These include, but are not limited to,
diseases in the liver, kidney, cardiac, pancreas etc. The investigators hypothesize that the
quantitative MR Fingerprinting imaging technique will lead to improved tissue
characterization and diagnosis.

Inclusion Criteria:

- The study will include English-speaking patients that are already scheduled to undergo
a clinical MRI for diagnostic purposes.

Exclusion Criteria:

- Pregnant women will be excluded.

- Women will be excluded from the healthy volunteers, due to a lack of funding for
pregnancy testing. Funding for this will be considered for the future.
We found this trial at
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Chapel Hill, North Carolina 27599
(919) 962-2211
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