Magnitude-constrained sequence design with application in MRI
2014 (English)In: Proc. 39th IEEE International Conference on Acoustics, Speech, and Signal Processing, Piscataway, NJ: IEEE , 2014, 4943-4947 p.Conference paper (Refereed)
In this paper we present an algorithm for sequence design with magnitude constraints. We formulate the design problem in a general setting, but also illustrate its relevance to parallel excitation MRI. The formulated non-convex design optimization criterion is minimized locally by means of a cyclic algorithm, consisting of two simple algebraic sub-steps. Since the algorithm truly minimizes the criterion, the obtained sequence designs are guaranteed to improve upon the estimates provided by a previous method, which is based on the heuristic principle of the Iterative Quadratic Maximum Likelihood algorithm. The performance of the proposed algorithm is illustrated in two numerical examples.
Place, publisher, year, edition, pages
Piscataway, NJ: IEEE , 2014. 4943-4947 p.
, International Conference on Acoustics Speech and Signal Processing, ISSN 1520-6149
IdentifiersURN: urn:nbn:se:uu:diva-218885DOI: 10.1109/ICASSP.2014.6854542ISI: 000343655304194ISBN: 978-1-4799-2893-4OAI: oai:DiVA.org:uu-218885DiVA: diva2:697729
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2014, May 4-9, Florence, Italy
FunderEU, European Research Council, 247035