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Model based reconstruction for GRE EPI




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.

Author(s): Blecher, W. and Pohmann, R. and Schölkopf, B. and Seeger, M.
Journal: Magnetic Resonance Materials in Physics, Biology and Medicine
Volume: 24
Number (issue): Supplement 1
Pages: 493-494
Year: 2011
Month: October
Day: 0

Department(s): Empirical Inference
Bibtex Type: Poster (poster)

Digital: 0
DOI: 10.1007/s10334-011-0268-5
Event Name: 28th Annual Scientific Meeting ESMRMB 2011
Event Place: Leipzig, Germany

Links: PDF


  title = {Model based reconstruction for GRE EPI},
  author = {Blecher, W. and Pohmann, R. and Sch{\"o}lkopf, B. and Seeger, M.},
  journal = {Magnetic Resonance Materials in Physics, Biology and Medicine},
  volume = {24},
  number = {Supplement 1},
  pages = {493-494},
  month = oct,
  year = {2011},
  month_numeric = {10}