Project: Research project

Project Details


We propose to further develop adaptive correction methods for MR
imaging in the presence of motion, as demonstrated in the previous
grant cycle. These correction techniques can in theory provide a
complete correction for the effects of object motion in many
applications, unattainable by conventional artifact reduction methods.
Our work to date has shown, however, that practical implementation
requires attention to nonidealities such as spatially-dependent phase
shifts due to off-resonance phenomena and to other critical
application-specific issues.

Work will be done in four projects:

(1) Resolution-Critical MRI. Practical adaptive motion correction
techniques will be developed for technically- demanding, high
resolution applications for MRI where small fields of view are needed.

(2) General Global Motion Correction. We will develop and implement a
generalized method for multi-axis motion correction, using real time
processing of azimuthal (nonlinear projection) navigator echoes and
intra-acquisition modification of scan parameters to dynamically
displace and reorient the imaging frame of reference.

(3) Thoracoadominal MRI. Development will be continued on
retrospective and real-time adaptive motion correction techniques to
provide improved image quality in high resolution abdominal MR imaging
by addressing the effects of respiratory motion.

(4) High Resolution MR Angiography. We will apply adaptive motion
correction techniques to technically challenging applications of MR
angiography. Specifically, we propose to integrate real-time
navigator-echo based respiratory motion correction techniques with
coronary artery MR angiography sequences.

The common objective of these projects is to lock the frame of
reference of the image acquisition process to the clinical region of
interest, and to strip away motion-related effects that continue to
limit the potential applications of MRI. We anticipate that these
developments will reduce the need for sedation or anesthesia, improve
the reliability, and increase the effective spatial resolution of a
variety of clinical MRI examinations.
StatusNot started


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