Meeting Banner
Abstract #0555

Acceleration of Magnetic Resonance Elastography using a Novel Distributed Encoding Technique

Mary K Kramer1, Alex M Cerjanic2, Matthew DJ McGarry3, and Curtis L Johnson1
1Biomedical Engineering, University of Delaware, Newark, DE, United States, 2Massachussetts General Hospital, Cambridge, MA, United States, 3Dartmouth College, Hanover, NH, United States

Synopsis

Keywords: Elastography, Elastography

Motivation: Magnetic resonance elastography (MRE) data quality is susceptible to poor data quality from subject motion and long scan times.

Goal(s): A novel sampling technique and estimation scheme was developed and implemented to improve flexibility and acquisition time of MRE.

Approach: The technique utilizes non-traditional sampling directions in an optimized encoding matrix to collect data efficiently to be used in a novel algorithm for estimating harmonic displacement fields. This allows for acquisition acceleration or flexibility in the data sampled to be rejected in post-processing if it is distorted.

Results: Scans were acquired 2.3x faster than standard methods with 95.2% multiscale structural image similarity.

Impact: A novel sampling and estimation scheme demonstrated here can be used to improve the application of magnetic resonance elastography. This is accomplished through prospective reduction in sampling, reducing acquisition time, and retrospective volume rejection, circumventing distortion introduced by subject motion.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords