Global optimization of default phases for parallel transmit coils for ultra-high-field cardiac MRI

Please always quote using this URN: urn:nbn:de:bvb:20-opus-265737
  • The development of novel multiple-element transmit-receive arrays is an essential factor for improving B\(_1\)\(^+\) field homogeneity in cardiac MRI at ultra-high magnetic field strength (B\(_0\) > = 7.0T). One of the key steps in the design and fine-tuning of such arrays during the development process is finding the default driving phases for individual coil elements providing the best possible homogeneity of the combined B\(_1\)\(^+\)-field that is achievable without (or before) subject-specific B\(_1\)\(^+\)-adjustment in the scanner. ThisThe development of novel multiple-element transmit-receive arrays is an essential factor for improving B\(_1\)\(^+\) field homogeneity in cardiac MRI at ultra-high magnetic field strength (B\(_0\) > = 7.0T). One of the key steps in the design and fine-tuning of such arrays during the development process is finding the default driving phases for individual coil elements providing the best possible homogeneity of the combined B\(_1\)\(^+\)-field that is achievable without (or before) subject-specific B\(_1\)\(^+\)-adjustment in the scanner. This task is often solved by time-consuming (brute-force) or by limited efficiency optimization methods. In this work, we propose a robust technique to find phase vectors providing optimization of the B-1-homogeneity in the default setup of multiple-element transceiver arrays. The key point of the described method is the pre-selection of starting vectors for the iterative solver-based search to maximize the probability of finding a global extremum for a cost function optimizing the homogeneity of a shaped B\(_1\)\(^+\)-field. This strategy allows for (i) drastic reduction of the computation time in comparison to a brute-force method and (ii) finding phase vectors providing a combined B\(_1\)\(^+\)-field with homogeneity characteristics superior to the one provided by the random-multi-start optimization approach. The method was efficiently used for optimizing the default phase settings in the in-house-built 8Tx/16Rx arrays designed for cMRI in pigs at 7T.show moreshow less

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Metadaten
Author: Maxim TerekhovORCiD, Ibrahim A. Elabyad, Laura M. Schreiber
URN:urn:nbn:de:bvb:20-opus-265737
Document Type:Journal article
Faculties:Medizinische Fakultät / Deutsches Zentrum für Herzinsuffizienz (DZHI)
Language:English
Parent Title (English):PLoS One
Year of Completion:2021
Volume:16
Issue:8
Article Number:e0255341
Source:PLoS One (2021) 16:8, e0255341. https://doi.org/10.1371/journal.pone.0255341
DOI:https://doi.org/10.1371/journal.pone.0255341
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Tag:electromagnetics; linear regression analysis; magnetic resonance imaging; optimization; power grids; swine; thorax; wave interference
Release Date:2022/05/02
Collections:Open-Access-Publikationsfonds / Förderzeitraum 2021
Licence (German):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International