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Optimal control design of turbo spin‐echo sequences with applications to parallel‐transmit systems

PURPOSE: The design of turbo spin‐echo sequences is modeled as a dynamic optimization problem which includes the case of inhomogeneous transmit radiofrequency fields. This problem is efficiently solved by optimal control techniques making it possible to design patient‐specific sequences online. THEO...

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Autores principales: Sbrizzi, Alessandro, Hoogduin, Hans, Hajnal, Joseph V., van den Berg, Cornelis A. T., Luijten, Peter R., Malik, Shaihan J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5216583/
https://www.ncbi.nlm.nih.gov/pubmed/26800383
http://dx.doi.org/10.1002/mrm.26084
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author Sbrizzi, Alessandro
Hoogduin, Hans
Hajnal, Joseph V.
van den Berg, Cornelis A. T.
Luijten, Peter R.
Malik, Shaihan J.
author_facet Sbrizzi, Alessandro
Hoogduin, Hans
Hajnal, Joseph V.
van den Berg, Cornelis A. T.
Luijten, Peter R.
Malik, Shaihan J.
author_sort Sbrizzi, Alessandro
collection PubMed
description PURPOSE: The design of turbo spin‐echo sequences is modeled as a dynamic optimization problem which includes the case of inhomogeneous transmit radiofrequency fields. This problem is efficiently solved by optimal control techniques making it possible to design patient‐specific sequences online. THEORY AND METHODS: The extended phase graph formalism is employed to model the signal evolution. The design problem is cast as an optimal control problem and an efficient numerical procedure for its solution is given. The numerical and experimental tests address standard multiecho sequences and pTx configurations. RESULTS: Standard, analytically derived flip angle trains are recovered by the numerical optimal control approach. New sequences are designed where constraints on radiofrequency total and peak power are included. In the case of parallel transmit application, the method is able to calculate the optimal echo train for two‐dimensional and three‐dimensional turbo spin echo sequences in the order of 10 s with a single central processing unit (CPU) implementation. The image contrast is maintained through the whole field of view despite inhomogeneities of the radiofrequency fields. CONCLUSION: The optimal control design sheds new light on the sequence design process and makes it possible to design sequences in an online, patient‐specific fashion. Magn Reson Med 77:361–373, 2017. © 2016 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine
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spelling pubmed-52165832017-01-18 Optimal control design of turbo spin‐echo sequences with applications to parallel‐transmit systems Sbrizzi, Alessandro Hoogduin, Hans Hajnal, Joseph V. van den Berg, Cornelis A. T. Luijten, Peter R. Malik, Shaihan J. Magn Reson Med Computer Processing and Modeling—Full Papers PURPOSE: The design of turbo spin‐echo sequences is modeled as a dynamic optimization problem which includes the case of inhomogeneous transmit radiofrequency fields. This problem is efficiently solved by optimal control techniques making it possible to design patient‐specific sequences online. THEORY AND METHODS: The extended phase graph formalism is employed to model the signal evolution. The design problem is cast as an optimal control problem and an efficient numerical procedure for its solution is given. The numerical and experimental tests address standard multiecho sequences and pTx configurations. RESULTS: Standard, analytically derived flip angle trains are recovered by the numerical optimal control approach. New sequences are designed where constraints on radiofrequency total and peak power are included. In the case of parallel transmit application, the method is able to calculate the optimal echo train for two‐dimensional and three‐dimensional turbo spin echo sequences in the order of 10 s with a single central processing unit (CPU) implementation. The image contrast is maintained through the whole field of view despite inhomogeneities of the radiofrequency fields. CONCLUSION: The optimal control design sheds new light on the sequence design process and makes it possible to design sequences in an online, patient‐specific fashion. Magn Reson Med 77:361–373, 2017. © 2016 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine John Wiley and Sons Inc. 2016-01-22 2017-01 /pmc/articles/PMC5216583/ /pubmed/26800383 http://dx.doi.org/10.1002/mrm.26084 Text en © 2016 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Computer Processing and Modeling—Full Papers
Sbrizzi, Alessandro
Hoogduin, Hans
Hajnal, Joseph V.
van den Berg, Cornelis A. T.
Luijten, Peter R.
Malik, Shaihan J.
Optimal control design of turbo spin‐echo sequences with applications to parallel‐transmit systems
title Optimal control design of turbo spin‐echo sequences with applications to parallel‐transmit systems
title_full Optimal control design of turbo spin‐echo sequences with applications to parallel‐transmit systems
title_fullStr Optimal control design of turbo spin‐echo sequences with applications to parallel‐transmit systems
title_full_unstemmed Optimal control design of turbo spin‐echo sequences with applications to parallel‐transmit systems
title_short Optimal control design of turbo spin‐echo sequences with applications to parallel‐transmit systems
title_sort optimal control design of turbo spin‐echo sequences with applications to parallel‐transmit systems
topic Computer Processing and Modeling—Full Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5216583/
https://www.ncbi.nlm.nih.gov/pubmed/26800383
http://dx.doi.org/10.1002/mrm.26084
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