Meeting Banner
Abstract #3367

Simplex Mesh Signal Representation for Modeling Susceptibility-Induced Distortion

Alexander R Toews1,2 and Brian A Hargreaves1,2,3
1Radiology, Stanford University, Stanford, CA, United States, 2Electrical Engineering, Stanford University, Stanford, CA, United States, 3Bioengineering, Stanford University, Stanford, CA, United States

Synopsis

Keywords: Signal Modeling, Susceptibility, Simulations, Signal Modeling, Signal Representations, B0 Inhomogeneity, Metallic Implants

Motivation: To correct image distortion arising from susceptibility-induced field inhomogeneity in spin-echo sequences.

Goal(s): To develop a continuous signal representation to efficiently model the impact of static local field gradients on spatial encoding.

Approach: A simplex mesh signal representation is developed to model the imaging subject and background field as a continuous piecewise linear function. The model is compared to a conventional discrete spins representation for forward simulation and image estimation tasks. Results are demonstrated with a simulated spin-echo sequence near metal.

Results: The proposed method accurately models susceptibility-induced distortion with fewer parameters/pixel than the conventional approach for simulation and estimation tasks.

Impact: A continuous piecewise linear signal representation (simplex mesh) improves forward modeling efficiency in the presence of background field gradients. This work can help improve multi-readout distortion correction methods for FSE near metal and EPI in the brain.

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