Paper Info
Title
An EM Simulation-Based Design Flow for Custom-Built MR Coils Incorporating Signal and Noise.
Abstract
Developing custom-built MR coils is a cumbersome task, in which an a priori prediction of the coils’ SNR performance, their sensitivity pattern, and their depth of penetration helps to greatly speed up the design process by reducing the required hardware manufacturing iterations. The simulation-based design flow presented in this paper takes the entire MR imaging process into account. That is, it includes all geometric and material properties of the coil and the phantom, the thermal noise as well as the target MR sequences. The proposed simulation-driven design flow is validated using a manufactured prototype coil, whose performance was optimized regarding its SNR performance, based on the presented design flow, by comparing the coil’s measured performance against the simulated results. In these experiments, the mean and the standard deviation of the relative error between the simulated and measured coil sensitivity pattern were found to be $mu ={1.79}%$ and $sigma ={3.15}%$ . Moreover, the peak deviation between the simulated and measured voxel SNR was found to be less than 4%, indicating that simulations are in good accordance with the measured results, validating the proposed software-based design approach.
Year
Venue
Field
2018
IEEE Trans. Med. Imaging
Computer vision,Noise (electronics),Signal-to-noise ratio,Imaging phantom,Design flow,Electromagnetic coil,Artificial intelligence,Acoustics,Standard deviation,Mathematics,Approximation error,Speedup
DocType
Volume
Issue
Journal
37
2
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
Andreas Horneff100.34
M. Eder250.90
Hell Erich311.09
Johannes Ulrici400.34
Jörg Felder592.91
Volker Rasche620224.19
Jens Anders76024.75