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  Model based reconstruction for GRE EPI

Blecher, W., Pohmann, R., Schölkopf, B., & Seeger, M. (2011). Model based reconstruction for GRE EPI. Poster presented at 28th Annual Scientific Meeting ESMRMB 2011, Leipzig, Germany.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-B9CA-7 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-1C1B-2
Genre: Poster

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 Creators:
Blecher, W, Author              
Pohmann, R1, 2, Author              
Schölkopf, B, Author              
Seeger, M, Author              
Affiliations:
1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: Model based nonlinear image reconstruction methods for MRI [3] are at the heart of modern reconstruction techniques (e.g.compressed sensing [6]). In general, models are expressed as a matrix equation where y and u are column vectors of k-space and image data, X model matrix and e independent noise. However, solving the corresponding linear system is not tractable. Therefore fast nonlinear algorithms that minimize a function wrt.the unknown image are the method of choice: In this work a model for gradient echo EPI, is proposed that incorporates N/2 Ghost correction and correction for field inhomogeneities. In addition to reconstruction from full data, the model allows for sparse reconstruction, joint estimation of image, field-, and relaxation-map (like [5,8] for spiral imaging), and improved N/2 ghost correction.

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 Dates: 2011-10
 Publication Status: Published in print
 Pages: -
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 Rev. Method: -
 Identifiers: DOI: 10.1007/s10334-011-0268-5
BibTex Citekey: BlecherPSS2011
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Title: 28th Annual Scientific Meeting ESMRMB 2011
Place of Event: Leipzig, Germany
Start-/End Date: 2011-10-06 - 2011-10-08

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Title: Magnetic Resonance Materials in Physics, Biology and Medicine
Source Genre: Journal
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Publ. Info: Amsterdam : No longer published by Elsevier
Pages: - Volume / Issue: 24 (Supplement 1) Sequence Number: - Start / End Page: 493 - 494 Identifier: ISSN: 0968-5243
CoNE: https://pure.mpg.de/cone/journals/resource/954926245532